Author: "Roechert, B." - Searchworks@Jio Institute Digital Library Search Results

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31 results on '"Roechert, B."'

1. Encompassing new use cases - level 3.0 of the HUPO-PSI format for molecular interactions

Author: Sivade (Dumousseau), M., Alonso-López, D., Ammari, M., Bradley, G., Campbell, N. H., Ceol, A., Cesareni, G., Combe, C., De Las Rivas, J., del-Toro, N., Heimbach, J., Hermjakob, H., Jurisica, I., Koch, M., Licata, L., Lovering, R. C., Lynn, D. J., Meldal, B. H. M., Micklem, G., Panni, S., Porras, P., Ricard-Blum, S., Roechert, B., Salwinski, L., Shrivastava, A., Sullivan, J., Thierry-Mieg, N., Yehudi, Y., Van Roey, K., and Orchard, S.
Published: 2018
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2. Gene Ontology annotations and resources

Author: Gene Ontology Consortium, Blake, JA, Dolan, M, Drabkin, H, Hill, DP, Li, Ni, Sitnikov, D, Bridges, S, Burgess, S, Buza, T, McCarthy, F, Peddinti, D, Pillai, L, Carbon, S, Dietze, H, Ireland, A, Lewis, SE, Mungall, CJ, Gaudet, P, Chrisholm, RL, Fey, P, Kibbe, WA, Basu, S, Siegele, DA, McIntosh, BK, Renfro, DP, Zweifel, AE, Hu, JC, Brown, NH, Tweedie, S, Alam-Faruque, Y, Apweiler, R, Auchinchloss, A, Axelsen, K, Bely, B, Blatter, M-C, Bonilla, C, Bouguerleret, L, Boutet, E, Breuza, L, Bridge, A, Chan, WM, Chavali, G, Coudert, E, Dimmer, E, Estreicher, A, Famiglietti, L, Feuermann, M, Gos, A, Gruaz-Gumowski, N, Hieta, R, Hinz, C, Hulo, C, Huntley, R, James, J, Jungo, F, Keller, G, Laiho, K, Legge, D, Lemercier, P, Lieberherr, D, Magrane, M, Martin, MJ, Masson, P, Mutowo-Muellenet, P, O'Donovan, C, Pedruzzi, I, Pichler, K, Poggioli, D, Porras Millán, P, Poux, S, Rivoire, C, Roechert, B, Sawford, T, Schneider, M, Stutz, A, Sundaram, S, Tognolli, M, Xenarios, I, Foulgar, R, Lomax, J, Roncaglia, P, Khodiyar, VK, Lovering, RC, Talmud, PJ, Chibucos, M, Giglio, M Gwinn, Chang, H-Y, Hunter, S, McAnulla, C, Mitchell, A, Sangrador, A, Stephan, R, Harris, MA, Oliver, SG, Rutherford, K, Wood, V, Bahler, J, Lock, A, Kersey, PJ, McDowall, DM, Staines, DM, Dwinell, M, Shimoyama, M, Laulederkind, S, Hayman, T, Wang, S-J, Petri, V, Lowry, T, D'Eustachio, P, Matthews, L, Balakrishnan, R, Binkley, G, Cherry, JM, Costanzo, MC, Dwight, SS, Engel, SR, Fisk, DG, Hitz, BC, Hong, EL, Karra, K, Miyasato, SR, Nash, RS, Park, J, Skrzypek, MS, Weng, S, Wong, ED, Berardini, TZ, Huala, E, Mi, H, Thomas, PD, Chan, J, Kishore, R, Sternberg, P, Van Auken, K, Howe, D, Westerfield, M, Brown, Nicholas [0000-0002-8958-7017], Harris, Midori [0000-0003-4148-4606], Oliver, Stephen [0000-0001-6330-7526], Wood, Valerie [0000-0001-6330-7526], and Apollo - University of Cambridge Repository
Subjects: Internet, Genes, Vocabulary, Controlled, Databases, Genetic, Molecular Sequence Annotation, GeneralLiterature_REFERENCE(e.g.,dictionaries,encyclopedias,glossaries), Phylogeny
Abstract: The Gene Ontology (GO) Consortium (GOC, http://www.geneontology.org) is a community-based bioinformatics resource that classifies gene product function through the use of structured, controlled vocabularies. Over the past year, the GOC has implemented several processes to increase the quantity, quality and specificity of GO annotations. First, the number of manual, literature-based annotations has grown at an increasing rate. Second, as a result of a new 'phylogenetic annotation' process, manually reviewed, homology-based annotations are becoming available for a broad range of species. Third, the quality of GO annotations has been improved through a streamlined process for, and automated quality checks of, GO annotations deposited by different annotation groups. Fourth, the consistency and correctness of the ontology itself has increased by using automated reasoning tools. Finally, the GO has been expanded not only to cover new areas of biology through focused interaction with experts, but also to capture greater specificity in all areas of the ontology using tools for adding new combinatorial terms. The GOC works closely with other ontology developers to support integrated use of terminologies. The GOC supports its user community through the use of e-mail lists, social media and web-based resources.
Published: 2020
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3. The IntAct molecular interaction database in 2010

Author: Aranda, B., Achuthan, P., Alam-Faruque, Y., Armean, I., Bridge, A., Derow, C., Feuermann, M., Ghanbarian, A. T., Kerrien, S., Khadake, J., Kerssemakers, J., Leroy, C., Menden, M., Michaut, M., Montecchi-Palazzi, L., Neuhauser, S. N., Orchard, S., Perreau, V., Roechert, B., van Eijk, K., and Hermjakob, H.
Published: 2010
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4. Capturing variation impact on molecular interactions in the IMEx Consortium mutations data set

Author: del-Toro, N, Duesbury, M, Koch, M, Perfetto, L, Shrivastava, A, Ochoa, D, Wagih, O, Pinero, J, Kotlyar, M, Pastrello, C, Beltrao, P, Furlong, Li, Jurisica, I, Hermjakob, H, Orchard, S, Porras, P, Khadake, J, Meldal, B, Panni, S, Thorneycroft, D, van Roey, K, Abbani, S, Salwinski, L, Pellegrini, M, Iannuccelli, M, Licata, L, Cesareni, G, Roechert, B, Bridge, A, Ammari, Mg, Mccarthy, F, Broackes-Carter, F, Campbell, Nh, Melidoni, An, Rodriguez-Lopez, M, Lovering, Rc, Jagannathan, S, Chen, C, Lynn, Dj, Ricard-Blum, S, Mahadevan, U, Raghunath, A, Institute of Experimental Physics [Graz], Graz University of Technology [Graz] (TU Graz), Institut de Physique Nucléaire d'Orsay (IPNO), Université Paris-Sud - Paris 11 (UP11)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Universidad de Salamanca, and Dpto. Ciencias de los Materiales, Universidad de Cadiz, Spain
Subjects: 0301 basic medicine, Nonsynonymous substitution, Computer science, Science, General Physics and Astronomy, 02 engineering and technology, Variation (game tree), Computational biology, Genoma humà, General Biochemistry, Genetics and Molecular Biology, Protein–protein interaction, 03 medical and health sciences, Genetic variation, Animals, Humans, Point Mutation, Disease, Dinàmica molecular, Protein Interaction Maps, lcsh:Science, ComputingMilieux_MISCELLANEOUS, Sequence (medicine), Multidisciplinary, Settore BIO/18, Genetic Variation, Molecular Sequence Annotation, General Chemistry, 021001 nanoscience & nanotechnology, Publisher Correction, Phenotype, [SDV.BBM.BC]Life Sciences [q-bio]/Biochemistry, Molecular Biology/Biomolecules [q-bio.BM], Data set, 030104 developmental biology, Amino Acid Substitution, lcsh:Q, 0210 nano-technology
Abstract: The current wealth of genomic variation data identified at nucleotide level presents the challenge of understanding by which mechanisms amino acid variation affects cellular processes. These effects may manifest as distinct phenotypic differences between individuals or result in the development of disease. Physical interactions between molecules are the linking steps underlying most, if not all, cellular processes. Understanding the effects that sequence variation has on a molecule’s interactions is a key step towards connecting mechanistic characterization of nonsynonymous variation to phenotype. We present an open access resource created over 14 years by IMEx database curators, featuring 28,000 annotations describing the effect of small sequence changes on physical protein interactions. We describe how this resource was built, the formats in which the data is provided and offer a descriptive analysis of the data set. The data set is publicly available through the IntAct website and is enhanced with every monthly release., Nature Communications, 10 (1), ISSN:2041-1723
Published: 2019

5. IntAct—open source resource for molecular interaction data

Author: Kerrien, S., Alam-Faruque, Y., Aranda, B., Bancarz, I., Bridge, A., Derow, C., Dimmer, E., Feuermann, M., Friedrichsen, A., Huntley, R., Kohler, C., Khadake, J., Leroy, C., Liban, A., Lieftink, C., Montecchi-Palazzi, L., Orchard, S., Risse, J., Robbe, K., Roechert, B., Thorneycroft, D., Zhang, Y., Apweiler, R., and Hermjakob, H.
Published: 2007

6. Encompassing new use cases - level 3.0 of the HUPO-PSI format for molecular interactions

Author: Biotechnology and Biological Sciences Research Council (UK), European Commission, Ontario Research Fund, Canada Research Chairs, Fondation pour la Recherche Médicale, British Heart Foundation, European Research Council, Wellcome Trust, National Institutes of Health (US), Sivade (Dumousseau), M., Alonso-López, D., Ammari, M., Bradley, G., Campbell, N. H, Ceol, A., Cesareni, G., Combe, C. W., De Las Rivas, Javier, Toro, N. del, Heimbach, J., Hermjakob, H., Jurisica, I., Koch, M., Licata, L., Lovering, R. C., Lynn, D. J., Meldal, B. H. M., Micklem, G., Panni, S., Porras, P., Ricard-Blum, S., Roechert, B., Salwinski, L., Shrivastava, A., Sullivan, J., Thierry-Mieg, N., Yehudi, Y., Van Roey, K., Orchard, S., Biotechnology and Biological Sciences Research Council (UK), European Commission, Ontario Research Fund, Canada Research Chairs, Fondation pour la Recherche Médicale, British Heart Foundation, European Research Council, Wellcome Trust, National Institutes of Health (US), Sivade (Dumousseau), M., Alonso-López, D., Ammari, M., Bradley, G., Campbell, N. H, Ceol, A., Cesareni, G., Combe, C. W., De Las Rivas, Javier, Toro, N. del, Heimbach, J., Hermjakob, H., Jurisica, I., Koch, M., Licata, L., Lovering, R. C., Lynn, D. J., Meldal, B. H. M., Micklem, G., Panni, S., Porras, P., Ricard-Blum, S., Roechert, B., Salwinski, L., Shrivastava, A., Sullivan, J., Thierry-Mieg, N., Yehudi, Y., Van Roey, K., and Orchard, S.
Abstract: [Background]: Systems biologists study interaction data to understand the behaviour of whole cell systems, and their environment, at a molecular level. In order to effectively achieve this goal, it is critical that researchers have high quality interaction datasets available to them, in a standard data format, and also a suite of tools with which to analyse such data and form experimentally testable hypotheses from them. The PSI-MI XML standard interchange format was initially published in 2004, and expanded in 2007 to enable the download and interchange of molecular interaction data. PSI-XML2.5 was designed to describe experimental data and to date has fulfilled this basic requirement. However, new use cases have arisen that the format cannot properly accommodate. These include data abstracted from more than one publication such as allosteric/cooperative interactions and protein complexes, dynamic interactions and the need to link kinetic and affinity data to specific mutational changes. [Results]: The Molecular Interaction workgroup of the HUPO-PSI has extended the existing, well-used XML interchange format for molecular interaction data to meet new use cases and enable the capture of new data types, following extensive community consultation. PSI-MI XML3.0 expands the capabilities of the format beyond simple experimental data, with a concomitant update of the tool suite which serves this format. The format has been implemented by key data producers such as the International Molecular Exchange (IMEx) Consortium of protein interaction databases and the Complex Portal. [Conclusions]: PSI-MI XML3.0 has been developed by the data producers, data users, tool developers and database providers who constitute the PSI-MI workgroup. This group now actively supports PSI-MI XML2.5 as the main interchange format for experimental data, PSI-MI XML3.0 which additionally handles more complex data types, and the simpler, tab-delimited MITAB2.5, 2.6 and 2.7 for rapid parsing and dow
Published: 2018

7. The SIB Swiss Institute of Bioinformatics' resources: focus on curated databases

Author: Bultet, LA, Aguilar-Rodriguez, J, Ahrens, CH, Ahrne, EL, Ai, N, Aimo, L, Akalin, A, Aleksiev, T, Alocci, D, Altenhoff, A, Alves, I, Ambrosini, G, Pedone, PA, Angelina, P, Anisimova, M, Appel, R, Argoud-Puy, G, Arnold, K, Arpat, B, Artimo, P, Ascencao, K, Auchincloss, A, Axelsen, K, Gerritsen, VB, Bairoch, A, Barisal, P, Baratin, D, Barbato, A, Barbie, V, Barras, D, Barreiro, M, Barret, S, Bastian, F, Batista Neto, TM, Baudis, M, Beaudoing, E, Beckmann, JS, Bekkar, AK, Cammoun, LBH, Benmohammed, S, Bernard, M, Bertelli, C, Bertoni, M, Bienert, S, Bignucolo, O, Bilbao, A, Bilican, A, Blank, D, Blatter, M-C, Blum, L, Bocquet, J, Boeckmann, B, Bolleman, JT, Bordoli, L, Bosshard, L, Boucher, G, Bougueleret, L, Boutet, E, Bovigny, C, Bratulic, S, Breuza, L, Bridge, AJ, Britan, A, Brito, F, Frazao, JB, Bruggmann, R, Bucher, P, Burdet, F, Burger, L, Cabello, EM, Gomez, RMC, Calderon, S, Cannarozzi, G, Carl, S, Casas, CC, Catherinet, S, Perier, RC, Charpilloz, C, Chaskar, PD, Chen, W, Pepe, AC, Chopard, B, Chu, HY, Civic, N, Claassen, M, Clottu, S, Colombo, M, Cosandier, I, Coudert, E, Crespo, I, Creus, M, Cuche, B, Cuendet, MA, Cusin, I, Daga, N, Daina, A, Dauvillier, J, David, F, Davydov, I, Ferreira, MDSRM, de Beer, T, de Castro, E, de Santana, C, Delafontaine, J, Delorenzi, M, Delucinge-Vivier, C, Demirel, O, Derham, R, Dermitzakis, EM, Dib, L, Diene, S, Dilek, N, Dilmi, J, Domagalski, MJ, Dorier, J, Dornevil, D, Dousse, A, Dreos, R, Duchen, P, Roggli, PD, Duperret, ID, Durinx, C, Duvaud, S, Engler, R, Frkek, S, Lopez, PE, Fstreicher, A, Excoffier, L, Fabbretti, R, Falcone, J-L, Falquet, L, Famiglietti, ML, Ferreira, A-M, Feuermann, M, Filliettaz, M, Hegel, V, Foucal, A, Franceschini, A, Fucile, G, Gaidatzis, D, Garcia, V, Gasteiger, E, Gateau, A, Gatti, L, Gaudet, P, Gaudinat, A, Gehant, S, Gfeller, D, Gharib, WH, Ghraichy, M, Gidoin, C, Gil, M, Gleizes, A, Gobeill, J, Gonnet, G, Gos, A, Gotz, L, Gouy, A, Grbic, D, Groux, R, Gruaz-Gumowski, N, Grun, D, Gschwind, A, Guex, N, Gupta, S, Getaz, M, Haake, D, Haas, J, Hatzimanikatis, V, Heckel, G, Gardiol, DFH, Hinard, V, Hinz, U, Homicsko, K, Horlacher, O, Hosseini, S-R, Hotz, H-R, Hulo, C, Hundsrucker, C, Ibberson, M, Ilmjarv, S, Ioannidis, V, Ioannidis, P, Iseli, C, Ivanek, R, Iwaszkiewicz, J, Jacquet, P, Jacquot, M, Jagannathan, V, Jan, M, Jensen, J, Johansson, MU, Johner, N, Jungo, F, Junier, T, Kahraman, A, Katsantoni, M, Keller, G, Kerhornou, A, Khalid, F, Klingbiel, D, Kimljenovic, A, Kriventseva, E, Kryuchkova, N, Kumar, S, Kutalik, Z, Kuznetsov, D, Kuzyakiv, R, Lane, L, Lara, V, Ledesma, L, Leleu, M, Lemercier, P, Lew, D, Lieberherr, D, Liechti, R, Lisacek, F, Fischer, H, Litsios, G, Liu, J, Lombardot, T, Mace, A, Maffioletti, S, Mahi, M-A, Maiolo, M, Majjigapu, SR, Malmstrom, L, Mangold, V, Marek, D, Mariethoz, J, Marin, R, Martin, O, Martin, X, Martin-Campos, T, Mary, C, Masclaux, F, Masson, P, Meier, C, Messina, A, Lenoir, MM, Meyer, X, Michel, P-A, Michielin, O, Milanese, A, Missiaglia, E, Perez, JM, Caria, VM, Moret, P, Moretti, S, Morgat, A, Mottaz, A, Mottin, L, Mouscaz, Y, Mueller, M, Murri, R, Mylonas, R, Neuenschwander, S, Nikitin, F, Niknejad, A, Nouspikel, N, Nso, LN, Okoniewski, M, Omasits, U, Paccaud, B, Pachkov, M, Paesano, SG, Pagni, M, Palagi, PM, Pasche, E, Payne, JL, Pedruzzi, I, Peischl, S, Peitsch, M, Perlini, S, Pilbout, S, Podvinec, M, Pohlmann, R, Polizzi, D, Potter, D, Poux, S, Pozzato, M, Pradervand, S, Praz, V, Pruess, M, Pujadas, E, Racle, J, Raschi, M, Ratib, O, Rausell, A, de Laval, VR, Redaschi, N, Rempfer, C, Ren, G, Vandati, RAR, Rib, L, Grognuz, OR, Altimiras, ER, Rivoire, C, Robin, T, Robinson-Rechavi, M, Rodrigues, J, Roechert, B, Roelli, P, Romano, V, Rossier, G, Roth, A, Rougemont, J, Roux, J, Royo, H, Ruch, P, Ruinelli, M, Rustom, M, Sates, A, Roehrig, UF, Rueeger, S, Salamin, N, Sankar, M, Sarkar, N, Saxenhofer, M, Schaeffer, M, Schaerli, Y, Schaper, E, Schmid, A, Schmid, E, Schmid, C, Schmid, M, Schmidt, S, Schmocker, D, Schneider, M, Schuepbach, T, Schwede, T, Schuetz, F, Sengstag, T, Serrano, M, Sethi, A, Shahmirzadi, O, Sigrist, C, Silvestro, D, Simao Neto, FA, Simillion, C, Simonovic, M, Skunca, N, Sluzek, K, Soneson, C, Sprouffske, K, Stadler, M, Staehli, S, Stevenson, B, Stockinger, H, Straszewski, J, Stricker, T, Studer, G, Stutz, A, Suffiotti, M, Sundaram, S, Szklarczyk, D, Szovenyi, P, Tegenfeldt, F, Teixeira, D, Tellenbach, S, Smith, AAT, Tognolli, M, Topolsky, I, Thuong, VDT, Tsantoulis, P, Tzika, AC, Agote, AU, van Nimwegen, E, von Mering, C, Varadarajan, A, Veranneman, M, Verbregue, L, Veuthey, A-L, Vishnyakova, D, Vyas, R, Wagner, A, Walther, D, Wan, HW, Wang, M, Waterhouse, R, Waterhouse, A, Wicki, A, Wigger, L, Wirapati, P, Witschi, U, Wyder, S, Wyler, K, Wuethrich, D, Xenarios, I, Yamada, K, Yan, Z, Yasrebi, H, Zahn, M, Zangger, N, Zdobnov, E, Zerzion, D, Zoete, V, Zoller, S, Bultet, LA, Aguilar-Rodriguez, J, Ahrens, CH, Ahrne, EL, Ai, N, Aimo, L, Akalin, A, Aleksiev, T, Alocci, D, Altenhoff, A, Alves, I, Ambrosini, G, Pedone, PA, Angelina, P, Anisimova, M, Appel, R, Argoud-Puy, G, Arnold, K, Arpat, B, Artimo, P, Ascencao, K, Auchincloss, A, Axelsen, K, Gerritsen, VB, Bairoch, A, Barisal, P, Baratin, D, Barbato, A, Barbie, V, Barras, D, Barreiro, M, Barret, S, Bastian, F, Batista Neto, TM, Baudis, M, Beaudoing, E, Beckmann, JS, Bekkar, AK, Cammoun, LBH, Benmohammed, S, Bernard, M, Bertelli, C, Bertoni, M, Bienert, S, Bignucolo, O, Bilbao, A, Bilican, A, Blank, D, Blatter, M-C, Blum, L, Bocquet, J, Boeckmann, B, Bolleman, JT, Bordoli, L, Bosshard, L, Boucher, G, Bougueleret, L, Boutet, E, Bovigny, C, Bratulic, S, Breuza, L, Bridge, AJ, Britan, A, Brito, F, Frazao, JB, Bruggmann, R, Bucher, P, Burdet, F, Burger, L, Cabello, EM, Gomez, RMC, Calderon, S, Cannarozzi, G, Carl, S, Casas, CC, Catherinet, S, Perier, RC, Charpilloz, C, Chaskar, PD, Chen, W, Pepe, AC, Chopard, B, Chu, HY, Civic, N, Claassen, M, Clottu, S, Colombo, M, Cosandier, I, Coudert, E, Crespo, I, Creus, M, Cuche, B, Cuendet, MA, Cusin, I, Daga, N, Daina, A, Dauvillier, J, David, F, Davydov, I, Ferreira, MDSRM, de Beer, T, de Castro, E, de Santana, C, Delafontaine, J, Delorenzi, M, Delucinge-Vivier, C, Demirel, O, Derham, R, Dermitzakis, EM, Dib, L, Diene, S, Dilek, N, Dilmi, J, Domagalski, MJ, Dorier, J, Dornevil, D, Dousse, A, Dreos, R, Duchen, P, Roggli, PD, Duperret, ID, Durinx, C, Duvaud, S, Engler, R, Frkek, S, Lopez, PE, Fstreicher, A, Excoffier, L, Fabbretti, R, Falcone, J-L, Falquet, L, Famiglietti, ML, Ferreira, A-M, Feuermann, M, Filliettaz, M, Hegel, V, Foucal, A, Franceschini, A, Fucile, G, Gaidatzis, D, Garcia, V, Gasteiger, E, Gateau, A, Gatti, L, Gaudet, P, Gaudinat, A, Gehant, S, Gfeller, D, Gharib, WH, Ghraichy, M, Gidoin, C, Gil, M, Gleizes, A, Gobeill, J, Gonnet, G, Gos, A, Gotz, L, Gouy, A, Grbic, D, Groux, R, Gruaz-Gumowski, N, Grun, D, Gschwind, A, Guex, N, Gupta, S, Getaz, M, Haake, D, Haas, J, Hatzimanikatis, V, Heckel, G, Gardiol, DFH, Hinard, V, Hinz, U, Homicsko, K, Horlacher, O, Hosseini, S-R, Hotz, H-R, Hulo, C, Hundsrucker, C, Ibberson, M, Ilmjarv, S, Ioannidis, V, Ioannidis, P, Iseli, C, Ivanek, R, Iwaszkiewicz, J, Jacquet, P, Jacquot, M, Jagannathan, V, Jan, M, Jensen, J, Johansson, MU, Johner, N, Jungo, F, Junier, T, Kahraman, A, Katsantoni, M, Keller, G, Kerhornou, A, Khalid, F, Klingbiel, D, Kimljenovic, A, Kriventseva, E, Kryuchkova, N, Kumar, S, Kutalik, Z, Kuznetsov, D, Kuzyakiv, R, Lane, L, Lara, V, Ledesma, L, Leleu, M, Lemercier, P, Lew, D, Lieberherr, D, Liechti, R, Lisacek, F, Fischer, H, Litsios, G, Liu, J, Lombardot, T, Mace, A, Maffioletti, S, Mahi, M-A, Maiolo, M, Majjigapu, SR, Malmstrom, L, Mangold, V, Marek, D, Mariethoz, J, Marin, R, Martin, O, Martin, X, Martin-Campos, T, Mary, C, Masclaux, F, Masson, P, Meier, C, Messina, A, Lenoir, MM, Meyer, X, Michel, P-A, Michielin, O, Milanese, A, Missiaglia, E, Perez, JM, Caria, VM, Moret, P, Moretti, S, Morgat, A, Mottaz, A, Mottin, L, Mouscaz, Y, Mueller, M, Murri, R, Mylonas, R, Neuenschwander, S, Nikitin, F, Niknejad, A, Nouspikel, N, Nso, LN, Okoniewski, M, Omasits, U, Paccaud, B, Pachkov, M, Paesano, SG, Pagni, M, Palagi, PM, Pasche, E, Payne, JL, Pedruzzi, I, Peischl, S, Peitsch, M, Perlini, S, Pilbout, S, Podvinec, M, Pohlmann, R, Polizzi, D, Potter, D, Poux, S, Pozzato, M, Pradervand, S, Praz, V, Pruess, M, Pujadas, E, Racle, J, Raschi, M, Ratib, O, Rausell, A, de Laval, VR, Redaschi, N, Rempfer, C, Ren, G, Vandati, RAR, Rib, L, Grognuz, OR, Altimiras, ER, Rivoire, C, Robin, T, Robinson-Rechavi, M, Rodrigues, J, Roechert, B, Roelli, P, Romano, V, Rossier, G, Roth, A, Rougemont, J, Roux, J, Royo, H, Ruch, P, Ruinelli, M, Rustom, M, Sates, A, Roehrig, UF, Rueeger, S, Salamin, N, Sankar, M, Sarkar, N, Saxenhofer, M, Schaeffer, M, Schaerli, Y, Schaper, E, Schmid, A, Schmid, E, Schmid, C, Schmid, M, Schmidt, S, Schmocker, D, Schneider, M, Schuepbach, T, Schwede, T, Schuetz, F, Sengstag, T, Serrano, M, Sethi, A, Shahmirzadi, O, Sigrist, C, Silvestro, D, Simao Neto, FA, Simillion, C, Simonovic, M, Skunca, N, Sluzek, K, Soneson, C, Sprouffske, K, Stadler, M, Staehli, S, Stevenson, B, Stockinger, H, Straszewski, J, Stricker, T, Studer, G, Stutz, A, Suffiotti, M, Sundaram, S, Szklarczyk, D, Szovenyi, P, Tegenfeldt, F, Teixeira, D, Tellenbach, S, Smith, AAT, Tognolli, M, Topolsky, I, Thuong, VDT, Tsantoulis, P, Tzika, AC, Agote, AU, van Nimwegen, E, von Mering, C, Varadarajan, A, Veranneman, M, Verbregue, L, Veuthey, A-L, Vishnyakova, D, Vyas, R, Wagner, A, Walther, D, Wan, HW, Wang, M, Waterhouse, R, Waterhouse, A, Wicki, A, Wigger, L, Wirapati, P, Witschi, U, Wyder, S, Wyler, K, Wuethrich, D, Xenarios, I, Yamada, K, Yan, Z, Yasrebi, H, Zahn, M, Zangger, N, Zdobnov, E, Zerzion, D, Zoete, V, and Zoller, S
Abstract: The SIB Swiss Institute of Bioinformatics (www.isb-sib.ch) provides world-class bioinformatics databases, software tools, services and training to the international life science community in academia and industry. These solutions allow life scientists to turn the exponentially growing amount of data into knowledge. Here, we provide an overview of SIB's resources and competence areas, with a strong focus on curated databases and SIB's most popular and widely used resources. In particular, SIB's Bioinformatics resource portal ExPASy features over 150 resources, including UniProtKB/Swiss-Prot, ENZYME, PROSITE, neXtProt, STRING, UniCarbKB, SugarBindDB, SwissRegulon, EPD, arrayMap, Bgee, SWISS-MODEL Repository, OMA, OrthoDB and other databases, which are briefly described in this article.
Published: 2016

8. The Gene Ontology in 2010: extensions and refinements

Author: Berardini, Tz, Li, D, Huala, E, Bridges, S, Burgess, S, Mccarthy, F, Carbon, S, Lewis, Se, Mungall, Cj, Abdulla, A, Wood, V, Feltrin, E, Valle, Giorgio, Chisholm, Rl, Fey, P, Gaudet, P, Kibbe, W, Basu, S, Bushmanova, Y, Eilbeck, K, Siegele, Da, Mcintosh, B, Renfro, D, Zweifel, A, Hu, Jc, Ashburner, M, Tweedie, S, ALAM FARUQUE, Y, Apweiler, R, Auchinchloss, A, Bairoch, A, Barrell, D, Binns, D, Blatter, Mc, Bougueleret, L, Boutet, E, Breuza, L, Bridge, A, Browne, P, Chan, Wm, Coudert, E, Daugherty, L, Dimmer, E, Eberhardt, R, Estreicher, A, Famiglietti, L, FERRO ROJAS, S, Feuermann, M, Foulger, R, GRUAZ GUMOWSKI, N, Hinz, U, Huntley, R, Jimenez, S, Jungo, F, Keller, G, Laiho, K, Legge, D, Lemercier, P, Lieberherr, D, Magrane, M, O'Donovan, C, Pedruzzi, I, Poux, S, Rivoire, C, Roechert, B, Sawford, T, Schneider, M, Stanley, E, Stutz, A, Sundaram, S, Tognolli, M, Xenarios, I, Harris, Ma, Deegan, Ji, Ireland, A, Lomax, J, Jaiswal, P, Chibucos, M, Giglio, Mg, Wortman, J, Hannick, L, Madupu, R, Botstein, D, Dolinski, K, Livstone, Ms, Oughtred, R, Blake, Ja, Bult, C, Diehl, Ad, Dolan, M, Drabkin, H, Eppig, Jt, Hill, Dp, Ni, L, Ringwald, M, Sitnikov, D, Collmer, C, TORTO ALALIBO, T, Laulederkind, S, Shimoyama, M, Twigger, S, D'Eustachio, P, Matthews, L, Balakrishnan, R, Binkley, G, Cherry, Jm, Christie, Kr, Costanzo, Mc, Engel, Sr, Fisk, Dg, Hirschman, Je, Hitz, Bc, Hong, El, Krieger, Cj, Miyasato, Sr, Nash, Rs, Park, J, Skrzypek, Ms, Weng, S, Wong, Ed, Aslett, M, Chan, J, Kishore, R, Sternberg, P, VAN AUKE, K, Khodiyar, Vk, Lovering, Rc, Talmud, Pj, Howe, D, Westerfield, M., Gene Ontology Consortium, Berardini, TZ., Li, D., Huala, E., Bridges, S., Burgess, S., McCarthy, F., Carbon, S., Lewis, SE., Mungall, CJ., Abdulla, A., Wood, V., Feltrin, E., Valle, G., Chisholm, RL., Fey, P., Gaudet, P., Kibbe, W., Basu, S., Bushmanova, Y., Eilbeck, K., Siegele, DA., McIntosh, B., Renfro, D., Zweifel, A., Hu, JC., Ashburner, M., Tweedie, S., Alam-Faruque, Y., Apweiler, R., Auchinchloss, A., Bairoch, A., Barrell, D., Binns, D., Blatter, MC., Bougueleret, L., Boutet, E., Breuza, L., Bridge, A., Browne, P., Chan, WM., Coudert, E., Daugherty, L., Dimmer, E., Eberhardt, R., Estreicher, A., Famiglietti, L., Ferro-Rojas, S., Feuermann, M., Foulger, R., Gruaz-Gumowski, N., Hinz, U., Huntley, R., Jimenez, S., Jungo, F., Keller, G., Laiho, K., Legge, D., Lemercier, P., Lieberherr, D., Magrane, M., O'Donovan, C., Pedruzzi, I., Poux, S., Rivoire, C., Roechert, B., Sawford, T., Schneider, M., Stanley, E., Stutz, A., Sundaram, S., Tognolli, M., Xenarios, I., Harris, MA., Deegan, JI., Ireland, A., Lomax, J., Jaiswal, P., Chibucos, M., Giglio, MG., Wortman, J., Hannick, L., Madupu, R., Botstein, D., Dolinski, K., Livstone, MS., Oughtred, R., Blake, JA., Bult, C., Diehl, AD., Dolan, M., Drabkin, H., Eppig, JT., Hill, DP., Ni, L., Ringwald, M., Sitnikov, D., Collmer, C., Torto-Alalibo, T., Laulederkind, S., Shimoyama, M., Twigger, S., D'Eustachio, P., Matthews, L., Balakrishnan, R., Binkley, G., Cherry, JM., Christie, KR., Costanzo, MC., Engel, SR., Fisk, DG., Hirschman, JE., Hitz, BC., Hong, EL., Krieger, CJ., Miyasato, SR., Nash, RS., Park, J., Skrzypek, MS., Weng, S., Wong, ED., Aslett, M., Chan, J., Kishore, R., Sternberg, P., Van Auke, K., Khodiyar, VK., Lovering, RC., Talmud, PJ., Howe, D., and Westerfield, M.
Subjects: Information Storage and Retrieval, Ontology (information science), Biology, Bioinformatics, World Wide Web, Set (abstract data type), 03 medical and health sciences, Annotation, User-Computer Interface, 0302 clinical medicine, Controlled vocabulary, Databases, Genetic, Genetics, Animals, Humans, Databases, Protein, Computational Biology/methods, Computational Biology/trends, Databases, Nucleic Acid, Genomics, Information Storage and Retrieval/methods, Internet, Software, Vocabulary, Controlled, 030304 developmental biology, Structure (mathematical logic), 0303 health sciences, Gene ontology, business.industry, Computational Biology, Usability, Articles, ComputingMethodologies_GENERAL, business, 030217 neurology & neurosurgery
Abstract: The Gene Ontology (GO) Consortium (http://www.geneontology.org) (GOC) continues to develop, maintain and use a set of structured, controlled vocabularies for the annotation of genes, gene products and sequences. The GO ontologies are expanding both in content and in structure. Several new relationship types have been introduced and used, along with existing relationships, to create links between and within the GO domains. These improve the representation of biology, facilitate querying, and allow GO developers to systematically check for and correct inconsistencies within the GO. Gene product annotation using GO continues to increase both in the number of total annotations and in species coverage. GO tools, such as OBO-Edit, an ontology-editing tool, and AmiGO, the GOC ontology browser, have seen major improvements in functionality, speed and ease of use.
Published: 2010

9. IntAct - an open source molecular interaction database

Author: Hermjakob, H., Montecchi-Palazzi, L., Lewington, C., Mudali, S., Kerrien, S., Orchard, S., Vingron, M., Roechert, B., and Roepstorff, Peter
Published: 2004

10. The IntAct molecular interaction database in 2010

Author: Aranda, B, Achuthan, P, Alam-Faruque, Y, Armean, I, Bridge, A, Derow, C, Feuermann, M, Ghanbarian, AT, Kerrien, S, Khadake, J, Kerssemakers, J, Leroy, C, Menden, M, Michaut, M, Montecchi-Palazzi, L, Neuhauser, SN, Orchard, S, Perreau, V, Roechert, B, van Eijk, K, Hermjakob, H, Aranda, B, Achuthan, P, Alam-Faruque, Y, Armean, I, Bridge, A, Derow, C, Feuermann, M, Ghanbarian, AT, Kerrien, S, Khadake, J, Kerssemakers, J, Leroy, C, Menden, M, Michaut, M, Montecchi-Palazzi, L, Neuhauser, SN, Orchard, S, Perreau, V, Roechert, B, van Eijk, K, and Hermjakob, H
Abstract: IntAct is an open-source, open data molecular interaction database and toolkit. Data is abstracted from the literature or from direct data depositions by expert curators following a deep annotation model providing a high level of detail. As of September 2009, IntAct contains over 200.000 curated binary interaction evidences. In response to the growing data volume and user requests, IntAct now provides a two-tiered view of the interaction data. The search interface allows the user to iteratively develop complex queries, exploiting the detailed annotation with hierarchical controlled vocabularies. Results are provided at any stage in a simplified, tabular view. Specialized views then allows 'zooming in' on the full annotation of interactions, interactors and their properties. IntAct source code and data are freely available at http://www.ebi.ac.uk/intact.
Published: 2010

11. The UniProt-GO Annotation database in 2011

Author: Dimmer, E. C., primary, Huntley, R. P., additional, Alam-Faruque, Y., additional, Sawford, T., additional, O'Donovan, C., additional, Martin, M. J., additional, Bely, B., additional, Browne, P., additional, Mun Chan, W., additional, Eberhardt, R., additional, Gardner, M., additional, Laiho, K., additional, Legge, D., additional, Magrane, M., additional, Pichler, K., additional, Poggioli, D., additional, Sehra, H., additional, Auchincloss, A., additional, Axelsen, K., additional, Blatter, M.-C., additional, Boutet, E., additional, Braconi-Quintaje, S., additional, Breuza, L., additional, Bridge, A., additional, Coudert, E., additional, Estreicher, A., additional, Famiglietti, L., additional, Ferro-Rojas, S., additional, Feuermann, M., additional, Gos, A., additional, Gruaz-Gumowski, N., additional, Hinz, U., additional, Hulo, C., additional, James, J., additional, Jimenez, S., additional, Jungo, F., additional, Keller, G., additional, Lemercier, P., additional, Lieberherr, D., additional, Masson, P., additional, Moinat, M., additional, Pedruzzi, I., additional, Poux, S., additional, Rivoire, C., additional, Roechert, B., additional, Schneider, M., additional, Stutz, A., additional, Sundaram, S., additional, Tognolli, M., additional, Bougueleret, L., additional, Argoud-Puy, G., additional, Cusin, I., additional, Duek- Roggli, P., additional, Xenarios, I., additional, and Apweiler, R., additional
Published: 2011
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12. The IntAct molecular interaction database in 2012

Author: Kerrien, S., primary, Aranda, B., additional, Breuza, L., additional, Bridge, A., additional, Broackes-Carter, F., additional, Chen, C., additional, Duesbury, M., additional, Dumousseau, M., additional, Feuermann, M., additional, Hinz, U., additional, Jandrasits, C., additional, Jimenez, R. C., additional, Khadake, J., additional, Mahadevan, U., additional, Masson, P., additional, Pedruzzi, I., additional, Pfeiffenberger, E., additional, Porras, P., additional, Raghunath, A., additional, Roechert, B., additional, Orchard, S., additional, and Hermjakob, H., additional
Published: 2011
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13. The IntAct molecular interaction database in 2010

Author: Aranda, B., primary, Achuthan, P., additional, Alam-Faruque, Y., additional, Armean, I., additional, Bridge, A., additional, Derow, C., additional, Feuermann, M., additional, Ghanbarian, A. T., additional, Kerrien, S., additional, Khadake, J., additional, Kerssemakers, J., additional, Leroy, C., additional, Menden, M., additional, Michaut, M., additional, Montecchi-Palazzi, L., additional, Neuhauser, S. N., additional, Orchard, S., additional, Perreau, V., additional, Roechert, B., additional, van Eijk, K., additional, and Hermjakob, H., additional
Published: 2009
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14. Collaborative annotation of genes and proteins between UniProtKB/Swiss-Prot and dictyBase

Author: Gaudet, P., primary, Lane, L., additional, Fey, P., additional, Bridge, A., additional, Poux, S., additional, Auchincloss, A., additional, Axelsen, K., additional, Braconi Quintaje, S., additional, Boutet, E., additional, Brown, P., additional, Coudert, E., additional, Datta, R.S., additional, de Lima, W.C., additional, de Oliveira Lima, T., additional, Duvaud, S., additional, Farriol-Mathis, N., additional, Ferro Rojas, S., additional, Feuermann, M., additional, Gateau, A., additional, Hinz, U., additional, Hulo, C., additional, James, J., additional, Jimenez, S., additional, Jungo, F., additional, Keller, G., additional, Lemercier, P., additional, Lieberherr, D., additional, Moinat, M., additional, Nikolskaya, A., additional, Pedruzzi, I., additional, Rivoire, C., additional, Roechert, B., additional, Schneider, M., additional, Stanley, E., additional, Tognolli, M., additional, Sjolander, K., additional, Bougueleret, L., additional, Chisholm, R.L., additional, and Bairoch, A., additional
Published: 2009
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15. Encompassing new use cases - level 3.0 of the HUPO-PSI format for molecular interactions

Author: Sivade (Dumousseau), M., Alonso-López, D., Ammari, M., Bradley, G., Campbell, N. H, Ceol, A., Cesareni, G., Combe, C., De Las Rivas, J., Del-Toro, N., Heimbach, J., Hermjakob, H., Jurisica, I., Koch, M., Licata, L., Lovering, R. C, Lynn, D. J, Meldal, B. H M, Micklem, G., Panni, S., Porras, P., Ricard-Blum, S., Roechert, B., Salwinski, L., Shrivastava, A., Sullivan, J., Thierry-Mieg, N., Yehudi, Y., Van Roey, K., and Orchard, S.
Subjects: 3. Good health
Abstract: Background Systems biologists study interaction data to understand the behaviour of whole cell systems, and their environment, at a molecular level. In order to effectively achieve this goal, it is critical that researchers have high quality interaction datasets available to them, in a standard data format, and also a suite of tools with which to analyse such data and form experimentally testable hypotheses from them. The PSI-MI XML standard interchange format was initially published in 2004, and expanded in 2007 to enable the download and interchange of molecular interaction data. PSI-XML2.5 was designed to describe experimental data and to date has fulfilled this basic requirement. However, new use cases have arisen that the format cannot properly accommodate. These include data abstracted from more than one publication such as allosteric/cooperative interactions and protein complexes, dynamic interactions and the need to link kinetic and affinity data to specific mutational changes. Results The Molecular Interaction workgroup of the HUPO-PSI has extended the existing, well-used XML interchange format for molecular interaction data to meet new use cases and enable the capture of new data types, following extensive community consultation. PSI-MI XML3.0 expands the capabilities of the format beyond simple experimental data, with a concomitant update of the tool suite which serves this format. The format has been implemented by key data producers such as the International Molecular Exchange (IMEx) Consortium of protein interaction databases and the Complex Portal. Conclusions PSI-MI XML3.0 has been developed by the data producers, data users, tool developers and database providers who constitute the PSI-MI workgroup. This group now actively supports PSI-MI XML2.5 as the main interchange format for experimental data, PSI-MI XML3.0 which additionally handles more complex data types, and the simpler, tab-delimited MITAB2.5, 2.6 and 2.7 for rapid parsing and download.

16. Encompassing new use cases - level 3.0 of the HUPO-PSI format for molecular interactions

Author: Sivade Dumousseau, M, Alonso-López, D, Ammari, M, Bradley, G, Campbell, NH, Ceol, A, Cesareni, G, Combe, C, De Las Rivas, J, Del-Toro, N, Heimbach, J, Hermjakob, H, Jurisica, I, Koch, M, Licata, L, Lovering, RC, Lynn, DJ, Meldal, BHM, Micklem, G, Panni, S, Porras, P, Ricard-Blum, S, Roechert, B, Salwinski, L, Shrivastava, A, Sullivan, J, Thierry-Mieg, N, Yehudi, Y, Van Roey, K, and Orchard, S
Subjects: Proteomics, PSI-MI, Proteome, HUPO-PSI, Systems Biology, Protein complexes, XML, 3. Good health, Protein-protein interaction, Data standards, Mutation, Molecular interactions, Humans, Protein Interaction Maps, Databases, Protein
Abstract: BACKGROUND: Systems biologists study interaction data to understand the behaviour of whole cell systems, and their environment, at a molecular level. In order to effectively achieve this goal, it is critical that researchers have high quality interaction datasets available to them, in a standard data format, and also a suite of tools with which to analyse such data and form experimentally testable hypotheses from them. The PSI-MI XML standard interchange format was initially published in 2004, and expanded in 2007 to enable the download and interchange of molecular interaction data. PSI-XML2.5 was designed to describe experimental data and to date has fulfilled this basic requirement. However, new use cases have arisen that the format cannot properly accommodate. These include data abstracted from more than one publication such as allosteric/cooperative interactions and protein complexes, dynamic interactions and the need to link kinetic and affinity data to specific mutational changes. RESULTS: The Molecular Interaction workgroup of the HUPO-PSI has extended the existing, well-used XML interchange format for molecular interaction data to meet new use cases and enable the capture of new data types, following extensive community consultation. PSI-MI XML3.0 expands the capabilities of the format beyond simple experimental data, with a concomitant update of the tool suite which serves this format. The format has been implemented by key data producers such as the International Molecular Exchange (IMEx) Consortium of protein interaction databases and the Complex Portal. CONCLUSIONS: PSI-MI XML3.0 has been developed by the data producers, data users, tool developers and database providers who constitute the PSI-MI workgroup. This group now actively supports PSI-MI XML2.5 as the main interchange format for experimental data, PSI-MI XML3.0 which additionally handles more complex data types, and the simpler, tab-delimited MITAB2.5, 2.6 and 2.7 for rapid parsing and download.

17. The Gene Ontology: enhancements for 2011

Author: P D'Eustachio, Benjamin C. Hitz, Julie Park, Paul Browne, Douglas G. Howe, Cynthia J. Krieger, Kalpana Karra, Stan Laulederkind, Karen R. Christie, Susan Tweedie, Eurie L. Hong, Lydie Bougueleret, Michele Magrane, Cathy R. Gresham, Rolf Apweiler, Lisa Matthews, Dong Li, Philippa J. Talmud, Ioannis Xenarios, J. M. Cherry, Tanya Z. Berardini, Deborah A. Siegele, Rama Balakrishnan, D. Sitnikov, A. Auchinchloss, Selina S. Dwight, Tony Sawford, Paul J. Kersey, Ruth C. Lovering, Ruth Y. Eberhardt, Ursula Hinz, Lakshmi Pillai, Sylvain Poux, Edith D. Wong, Klemens Pichler, Kati Laiho, Malcolm J. Gardner, Stephen G. Oliver, Lionel Breuza, Kara Dolinski, P Lemercier, Kristian B. Axelsen, Midori A. Harris, Adrienne E. Zweifel, H. Drabkin, Guillaume Keller, Marek S. Skrzypek, Daniel M. Staines, Fiona M. McCarthy, Nicholas H. Brown, Mark D. McDowall, Antonia Lock, Mary Shimoyama, Maria C. Costanzo, Teresia Buza, S. Jimenez, Rex L. Chisholm, Paul W. Sternberg, Hui Wang, Nadine Gruaz-Gumowski, Chantal Hulo, Rebecca E. Foulger, Melinda R. Dwinell, Judith A. Blake, Marcus C. Chibucos, B. K. McIntosh, C. D. Amundsen, Jane Lomax, L Famiglietti, Tom Hayman, Michael Tognolli, Eva Huala, James C. Hu, Patrick Masson, Maria Jesus Martin, Benoit Bely, Shuai Weng, Heather C. Wick, E. Dimmer, L. Ni, Catherine Rivoire, Christopher J. Mungall, H. Sehra, P. Duek-Roggli, Maria Victoria Schneider, Dianna G. Fisk, Michael S. Livstone, Ivo Pedruzzi, Shyamala Sundaram, Donna K. Slonim, Isabelle Cusin, Stuart R. Miyasato, Timothy F. Lowry, Varsha K. Khodiyar, Seth Carbon, Elisabeth Coudert, Jürg Bähler, Juancarlos Chan, Evelyn Camon, Daniel P. Renfro, Anne Estreicher, M. C. Blatter, Robert S. Nash, P Gaudet, Sven Heinicke, K. Van Auken, Stacia R. Engel, Alan Bridge, Ralf Stephan, Mary E. Dolan, Shane C. Burgess, Petra Fey, Shur-Jen Wang, Damien Lieberherr, Duncan Legge, P. Porras Millán, Andre Stutz, Yasmin Alam-Faruque, Gail Binkley, Bernd Roechert, S. Branconi-Quintaje, Ghislaine Argoud-Puy, S. Basu, Kim Rutherford, M. Moinat, Monte Westerfield, Arnaud Gos, Eleanor J Stanley, Valerie Wood, Ranjana Kishore, Diego Poggioli, S. Ferro-Rojas, Victoria Petri, Florence Jungo, Suzanna E. Lewis, Emmanuel Boutet, Warren A. Kibbe, M Feuermann, Claire O'Donovan, W. M. Chan, J. James, David P. Hill, Rachael P. Huntley, M. Gwinn Giglio, Paul Thomas, Jodi E. Hirschman, Paola Roncaglia, Gene Ontology Consortium, Blake, JA., Dolan, M., Drabkin, H., Hill, DP., Ni, L., Sitnikov, D., Burgess, S., Buza, T., Gresham, C., McCarthy, F., Pillai, L., Wang, H., Carbon, S., Lewis, SE., Mungall, CJ., Gaudet, P., Chisholm, RL., Fey, P., Kibbe, WA., Basu, S., Siegele, DA., McIntosh, BK., Renfro, DP., Zweifel, AE., Hu, JC., Brown, NH., Tweedie, S., Alam-Faruque, Y., Apweiler, R., Auchinchloss, A., Axelsen, K., Argoud-Puy, G., Bely, B., Blatter, M-., Bougueleret, L., Boutet, E., Branconi, S., Breuza, L., Bridge, A., Browne, P., Chan, WM., Coudert, E., Cusin, I., Dimmer, E., Duek-Roggli, P., Eberhardt, R., Estreicher, A., Famiglietti, L., Ferro-Rojas, S., Feuermann, M., Gardner, M., Gos, A., Gruaz-Gumowski, N., Hinz, U., Hulo, C., Huntley, R., James, J., Jimenez, S., Jungo, F., Keller, G., Laiho, K., Legge, D., Lemercier, P., Lieberherr, D., Magrane, M., Martin, MJ., Masson, P., Moinat, M., O'Donovan, C., Pedruzzi, I., Pichler, K., Poggioli, D., Porras Millán, P., Poux, S., Rivoire, C., Roechert, B., Sawford, T., Schneider, M., Sehra, H., Stanley, E., Stutz, A., Sundaram, S., Tognolli, M., Xenarios, I., Foulger, R., Lomax, J., Roncaglia, P., Camon, E., Khodiyar, VK., Lovering, RC., Talmud, PJ., Chibucos, M., Gwinn Giglio, M., Dolinski, K., Heinicke, S., Livstone, MS., Stephan, R., Harris, MA., Oliver, SG., Rutherford, K., Wood, V., Bahler, J., Lock, A., Kersey, PJ., McDowall, MD., Staines, DM., Dwinell, M., Shimoyama, M., Laulederkind, S., Hayman, T., Wang, S-., Petri, V., Lowry, T., D'Eustachio, P., Matthews, L., Amundsen, CD., Balakrishnan, R., Binkley, G., Cherry, JM., Christie, KR., Costanzo, MC., Dwight, SS., Engel, SR., Fisk, DG., Hirschman, JE., Hitz, BC., Hong, EL., Karra, K., Krieger, CJ., Miyasato, SR., Nash, RS., Park, J., Skrzypek, MS., Weng, S., Wong, ED., Berardini, TZ., Li, D., Huala, E., Slonim, D., Wick, H., Thomas, P., Chan, J., Kishore, R., Sternberg, P., Van Auken, K., Howe, D., and Westerfield, M.
Subjects: Quality Control, 0303 health sciences, media_common.quotation_subject, Databases, Genetic, Molecular Sequence Annotation/standards, Vocabulary, Controlled, Inference, Molecular Sequence Annotation, Articles, Biology, Ontology (information science), World Wide Web, Open Biomedical Ontologies, 03 medical and health sciences, Annotation, 0302 clinical medicine, Resource (project management), Controlled vocabulary, Genetics, Social media, Function (engineering), 030217 neurology & neurosurgery, 030304 developmental biology, media_common
Abstract: The Gene Ontology (GO) (http://www.geneontology.org) is a community bioinformatics resource that represents gene product function through the use of structured, controlled vocabularies. The number of GO annotations of gene products has increased due to curation efforts among GO Consortium (GOC) groups, including focused literature-based annotation and ortholog-based functional inference. The GO ontologies continue to expand and improve as a result of targeted ontology development, including the introduction of computable logical definitions and development of new tools for the streamlined addition of terms to the ontology. The GOC continues to support its user community through the use of e-mail lists, social media and web-based resources.
Published: 2011

18. The Universal Protein Resource (UniProt) in 2010

Author: Elisabeth Gasteiger, Amos Bairoch, John Garavelli, Julius Jacobsen, Lionel Breuza, Rachael Huntley, Rolf Apweiler, Christian J. A. SIGRIST, Rebecca Foulger, Jerven Bolleman, Raja Mazumder, Ivo Pedruzzi, Florence Jungo, Anaïs Mottaz, Michael Tognolli, Emmanuel Boutet, Claire O'Donovan, Edward Turner, Sandra Orchard, Patrick Masson, Peter McGarvey, Nicole Redaschi, Sébastien Géhant, Michele Magrane, Anne Estreicher, Alan Bridge, Michel Schneider, Daniel Barrell, Benoit Bely, Anne Morgat, Sylvain Poux, Petra Langendijk-Genevaux, Maria-Jesus Martin, Catherine Rivoire, Elisabeth Coudert, Rasko Leinonen, Cecilia Arighi, UniProt Consortium, Apweiler, R., Martin, MJ., O'Donovan, C., Magrane, M., Alam-Faruque, Y., Antunes, R., Barrell, D., Bely, B., Bingley, M., Binns, D., Bower, L., Browne, P., Chan, WM., Dimmer, E., Eberhardt, R., Fedotov, A., Foulger, R., Garavelli, J., Huntley, R., Jacobsen, J., Kleen, M., Laiho, K., Leinonen, R., Legge, D., Lin, Q., Liu, W., Luo, J., Orchard, S., Patient, S., Poggioli, D., Pruess, M., Corbett, M., di Martino, G., Donnelly, M., van Rensburg, P., Bairoch, A., Bougueleret, L., Xenarios, I., Altairac, S., Auchincloss, A., Argoud-Puy, G., Axelsen, K., Baratin, D., Blatter, MC., Boeckmann, B., Bolleman, J., Bollondi, L., Boutet, E., Quintaje, SB., Breuza, L., Bridge, A., deCastro, E., Ciapina, L., Coral, D., Coudert, E., Cusin, I., Delbard, G., Doche, M., Dornevil, D., Roggli, PD., Duvaud, S., Estreicher, A., Famiglietti, L., Feuermann, M., Gehant, S., Farriol-Mathis, N., Ferro, S., Gasteiger, E., Gateau, A., Gerritsen, V., Gos, A., Gruaz-Gumowski, N., Hinz, U., Hulo, C., Hulo, N., James, J., Jimenez, S., Jungo, F., Kappler, T., Keller, G., Lachaize, C., Lane-Guermonprez, L., Langendijk-Genevaux, P., Lara, V., Lemercier, P., Lieberherr, D., de Oliveira Lima, T., Mangold, V., Martin, X., Masson, P., Moinat, M., Morgat, A., Mottaz, A., Paesano, S., Pedruzzi, I., Pilbout, S., Pillet, V., Poux, S., Pozzato, M., Redaschi, N., Rivoire, C., Roechert, B., Schneider, M., Sigrist, C., Sonesson, K., Staehli, S., Stanley, E., Stutz, A., Sundaram, S., Tognolli, M., Verbregue, L., Veuthey, AL., Yip, L., Zuletta, L., Wu, C., Arighi, C., Arminski, L., Barker, W., Chen, C., Chen, Y., Hu, ZZ., Huang, H., Mazumder, R., McGarvey, P., Natale, DA., Nchoutmboube, J., Petrova, N., Subramanian, N., Suzek, BE., Ugochukwu, U., Vasudevan, S., Vinayaka, CR., Yeh, LS., and Zhang, J.
Subjects: Proteomics, Internet, 0303 health sciences, Proteome, 030302 biochemistry & molecular biology, Computational Biology, Information Storage and Retrieval, Genome, Viral, Articles, Europe, 03 medical and health sciences, Algorithms, Animals, Computational Biology/methods, Computational Biology/trends, Databases, Nucleic Acid, Databases, Protein, Genome, Fungal, Humans, Information Storage and Retrieval/methods, Protein Isoforms, Software, Genetics, 030304 developmental biology
Abstract: The primary mission of UniProt is to support biological research by maintaining a stable, comprehensive, fully classified, richly and accurately annotated protein sequence knowledgebase, with extensive cross-references and querying interfaces freely accessible to the scientific community. UniProt is produced by the UniProt Consortium which consists of groups from the European Bioinformatics Institute (EBI), the Swiss Institute of Bioinformatics (SIB) and the Protein Information Resource (PIR). UniProt is comprised of four major components, each optimized for different uses: the UniProt Archive, the UniProt Knowledgebase, the UniProt Reference Clusters and the UniProt Metagenomic and Environmental Sequence Database. UniProt is updated and distributed every 3 weeks and can be accessed online for searches or download at http://www.uniprot.org.
Published: 2009

19. Ongoing and future developments at the Universal Protein Resource

Author: Vicente Lara, Arnaud Gos, Nikolas Pontikos, L. Bollondi, L Famiglietti, Barker Wc, Chuming Chen, Michael Tognolli, Patrick Masson, Salvo Paesano, Tony Sawford, Sandrine Pilbout, Jerven Bolleman, Jian Zhang, S Staehli, Elisabeth Gasteiger, David Binns, Ursula Hinz, Nadine Gruaz-Gumowski, Chantal Hulo, Maria Jesus Martin, M. Corbett, Veuthey Al, Paul Browne, Guillaume Keller, S. Jimenez, Roberts Nv, Brigitte Boeckmann, Natale Da, Suzek Be, Edward Turner, T. Kappler, Steven Rosanoff, Leslie Arminski, Florence Jungo, M Donnelly, P. Dubey, Ruth Y. Eberhardt, Lydie Bougueleret, Vivienne Baillie Gerritsen, Maria Victoria Schneider, Lionel Breuza, Isabelle Cusin, Delphine Baratin, E. Dimmer, Rachael P. Huntley, Julius O.B. Jacobsen, Arighi Cn, Quintaje Sb, Alan Bridge, Nicole Redaschi, Shyamala Sundaram, Peter B. McGarvey, Rebecca E. Foulger, Duncan Legge, Andre Stutz, Monica Pozzato, Raja Mazumder, Anne Morgat, M Doche, K Sonesson, Anne Estreicher, Blatter Mc, Manuela Pruess, Serenella Ferro, Séverine Duvaud, F. Fazzini, Rolf Apweiler, Natarajan Tg, E. Stanley, M Feuermann, Claire O'Donovan, J. James, Ivo Pedruzzi, Castro Lg, Wu Ch, M Bingley, W Liu, He Huang, Bernd Roechert, Laure Verbregue, Elisabeth Coudert, Ioannis Xenarios, M. Moinat, Sandra Orchard, P Lemercier, Damien Lieberherr, Ricardo Antunes, Ghislaine Argoud-Puy, Sebastien Gehant, Qiang Wang, Klemens Pichler, S. Patient, Nicolas Hulo, Diego Poggioli, J. Nchoutmboube, Emmanuel Boutet, H. Sehra, Chan Wm, Yasmin Alam-Faruque, M. Kleen, Van Rensburg P, Kati Laiho, Kristian B. Axelsen, John S. Garavelli, Christian J. A. Sigrist, Amos Marc Bairoch, Yongxing Chen, A. Fedotov, Yeh Ls, Sylvain Poux, Lynette Bower, Quan Lin, Daniel Barrell, Benoit Bely, U. Ugochukwu, Xavier D. Martin, Catherine Rivoire, E. Decastro, Jie Luo, Alain Gateau, Michele Magrane, Dolnide Dornevil, Vinayaka Cr, Andrea H. Auchincloss, Yuqi Wang, An algorithmic view on genomes, cells, and environments (BAMBOO), Inria Grenoble - Rhône-Alpes, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire de Biométrie et Biologie Evolutive - UMR 5558 (LBBE), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS), Swiss Institute of Bioinformatics [Lausanne] (SIB), Université de Lausanne = University of Lausanne (UNIL), Institut de Microélectronique, Electromagnétisme et Photonique - Laboratoire d'Hyperfréquences et Caractérisation (IMEP-LAHC), Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut National Polytechnique de Grenoble (INPG)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS), Institut de minéralogie et de physique des milieux condensés (IMPMC), Université Pierre et Marie Curie - Paris 6 (UPMC)-Université Paris Diderot - Paris 7 (UPD7)-Institut de Physique du Globe de Paris (IPG Paris)-Centre National de la Recherche Scientifique (CNRS), Laboratoire de Biométrie et Biologie Evolutive - UMR 5558 (LBBE), Université de Lyon-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS)-Inria Grenoble - Rhône-Alpes, Institut National de Recherche en Informatique et en Automatique (Inria), Université de Lausanne (UNIL), Université Pierre et Marie Curie - Paris 6 (UPMC)-IPG PARIS-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), UniProt Consortium, Apweiler, R., Martin, MJ., O'Donovan, C., Magrane, M., Alam-Faruque, Y., Antunes, R., Barrell, D., Bely, B., Bingley, M., Binns, D., Bower, L., Browne, P., Chan, WM., Dimmer, E., Eberhardt, R., Fazzini, F., Fedotov, A., Foulger, R., Garavelli, J., Castro, LG., Huntley, R., Jacobsen, J., Kleen, M., Laiho, K., Legge, D., Lin, Q., Liu, W., Luo, J., Orchard, S., Patient, S., Pichler, K., Poggioli, D., Pontikos, N., Pruess, M., Rosanoff, S., Sawford, T., Sehra, H., Turner, E., Corbett, M., Donnelly, M., van Rensburg, P., Xenarios, I., Bougueleret, L., Auchincloss, A., Argoud-Puy, G., Axelsen, K., Bairoch, A., Baratin, D., Blatter, MC., Boeckmann, B., Bolleman, J., Bollondi, L., Boutet, E., Quintaje, SB., Breuza, L., Bridge, A., deCastro, E., Coudert, E., Cusin, I., Doche, M., Dornevil, D., Duvaud, S., Estreicher, A., Famiglietti, L., Feuermann, M., Gehant, S., Ferro, S., Gasteiger, E., Gateau, A., Gerritsen, V., Gos, A., Gruaz-Gumowski, N., Hinz, U., Hulo, C., Hulo, N., James, J., Jimenez, S., Jungo, F., Kappler, T., Keller, G., Lara, V., Lemercier, P., Lieberherr, D., Martin, X., Masson, P., Moinat, M., Morgat, A., Paesano, S., Pedruzzi, I., Pilbout, S., Poux, S., Pozzato, M., Redaschi, N., Rivoire, C., Roechert, B., Schneider, M., Sigrist, C., Sonesson, K., Staehli, S., Stanley, E., Stutz, A., Sundaram, S., Tognolli, M., Verbregue, L., Veuthey, AL., Wu, CH., Arighi, CN., Arminski, L., Barker, WC., Chen, C., Chen, Y., Dubey, P., Huang, H., Mazumder, R., McGarvey, P., Natale, DA., Natarajan, TG., Nchoutmboube, J., Roberts, NV., Suzek, BE., Ugochukwu, U., Vinayaka, CR., Wang, Q., Wang, Y., Yeh, LS., and Zhang, J.
Subjects: Proteomics, 0303 health sciences, Sequence database, 030302 biochemistry & molecular biology, Proteins, Articles, Computational biology, Biology, Bioinformatics, [SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM], Systems Integration, Universal Protein Resource, 03 medical and health sciences, Information resource, Protein sequencing, Sequence Analysis, Protein, Metagenomics, UniProt Knowledgebase, Genetics, Databases, Protein/trends, Proteins/chemistry, Proteins/genetics, UniProt, [INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM], Databases, Protein, 030304 developmental biology
Abstract: International audience; The primary mission of Universal Protein Resource (UniProt) is to support biological research by maintaining a stable, comprehensive, fully classified, richly and accurately annotated protein sequence knowledgebase, with extensive cross-references and querying interfaces freely accessible to the scientific community. UniProt is produced by the UniProt Consortium which consists of groups from the European Bioinformatics Institute (EBI), the Swiss Institute of Bioinformatics (SIB) and the Protein Information Resource (PIR). UniProt is comprised of four major components, each optimized for different uses: the UniProt Archive, the UniProt Knowledgebase, the UniProt Reference Clusters and the UniProt Metagenomic and Environmental Sequence Database. UniProt is updated and distributed every 4 weeks and can be accessed online for searches or download at http://www.uniprot.org.
Published: 2011

20. From protein sequences to 3D-structures and beyond: the example of the UniProt knowledgebase

Author: Elisabeth Gasteiger, Amos Bairoch, John Garavelli, Julius Jacobsen, Lionel Breuza, Rachael Huntley, Rolf Apweiler, Christian J. A. SIGRIST, Rebecca Foulger, Raja Mazumder, Ivo Pedruzzi, Florence Jungo, Anaïs Mottaz, Michael Tognolli, Emmanuel Boutet, Claire O'Donovan, Edward Turner, Sandra Orchard, Patrick Masson, Peter McGarvey, Nicole Redaschi, Sébastien Géhant, Michele Magrane, Anne Estreicher, Alan Bridge, Daniel Barrell, Benoit Bely, Anne Morgat, Sylvain Poux, Petra Langendijk-Genevaux, Maria-Jesus Martin, Catherine Rivoire, Elisabeth Coudert, Rasko Leinonen, Cecilia Arighi, UniProt Consortium, Apweiler, R., Martin, MJ., O'Donovan, C., Magrane, M., Alam-Faruque, Y., Antunes, R., Barrell, D., Bely, B., Bingley, M., Binns, D., Bower, L., Browne, P., Chan, WM., Dimmer, E., Eberhardt, R., Fedotov, A., Foulger, R., Garavelli, J., Huntley, R., Jacobsen, J., Kleen, M., Laiho, K., Leinonen, R., Legge, D., Lin, Q., Liu, W., Luo, J., Orchard, S., Patient, S., Poggioli, D., Pruess, M., Corbett, M., di Martino, G., Donnelly, M., van Rensburg, P., Bairoch, A., Bougueleret, L., Xenarios, I., Altairac, S., Auchincloss, A., Argoud-Puy, G., Axelsen, K., Baratin, D., Blatter, MC., Boeckmann, B., Bolleman, J., Bollondi, L., Boutet, E., Quintaje, SB., Breuza, L., Bridge, A., de Castro, E., Ciapina, L., Coral, D., Coudert, E., Cusin, I., David, F., Delbard, G., Doche, M., Dornevil, D., Roggli, PD., Duvaud, S., Estreicher, A., Famiglietti, L., Feuermann, M., Gehant, S., Farriol-Mathis, N., Ferro, S., Gasteiger, E., Gateau, A., Gerritsen, V., Gos, A., Gruaz-Gumowski, N., Hinz, U., Hulo, C., Hulo, N., James, J., Jimenez, S., Jungo, F., Kappler, T., Keller, G., Lachaize, C., Lane-Guermonprez, L., Langendijk-Genevaux, P., Lara, V., Lemercier, P., Lieberherr, D., Lima Tde, O., Mangold, V., Martin, X., Masson, P., Moinat, M., Morgat, A., Mottaz, A., Paesano, S., Pedruzzi, I., Pilbout, S., Pillet, V., Poux, S., Pozzato, M., Redaschi, N., Rivoire, C., Roechert, B., Schneider, M., Sigrist, C., Sonesson, K., Staehli, S., Stanley, E., Stutz, A., Sundaram, S., Tognolli, M., Verbregue, L., Veuthey, AL., Yip, L., Zuletta, L., Wu, C., Arighi, C., Arminski, L., Barker, W., Chen, C., Chen, Y., Hu, ZZ., Huang, H., Mazumder, R., McGarvey, P., Natale, DA., Nchoutmboube, J., Petrova, N., Subramanian, N., Suzek, BE., Ugochukwu, U., Vasudevan, S., Vinayaka, CR., Yeh, LS., and Zhang, J.
Subjects: Proteomics, Binding Sites, Catalytic Domain, Databases, Protein, Knowledge Bases, Protein Conformation, Proteins/chemistry, Proteins/genetics, Sequence Analysis, Protein, Sequence analysis, Computer science, Annotation, Structural genomics, Context (language use), Review, Computational biology, Bioinformatics, 03 medical and health sciences, Cellular and Molecular Neuroscience, Protein 3D-structure, Swiss-Prot, Molecular Biology, UniProtKB, 030304 developmental biology, Pharmacology, 0303 health sciences, 030302 biochemistry & molecular biology, Proteins, Experimental data, Data flood, Cell Biology, Knowledgebase, Data access, Molecular Medicine, UniProt
Abstract: With the dramatic increase in the volume of experimental results in every domain of life sciences, assembling pertinent data and combining information from different fields has become a challenge. Information is dispersed over numerous specialized databases and is presented in many different formats. Rapid access to experiment-based information about well-characterized proteins helps predict the function of uncharacterized proteins identified by large-scale sequencing. In this context, universal knowledgebases play essential roles in providing access to data from complementary types of experiments and serving as hubs with cross-references to many specialized databases. This review outlines how the value of experimental data is optimized by combining high-quality protein sequences with complementary experimental results, including information derived from protein 3D-structures, using as an example the UniProt knowledgebase (UniProtKB) and the tools and links provided on its website ( http://www.uniprot.org/ ). It also evokes precautions that are necessary for successful predictions and extrapolations.
Published: 2010

21. KIAA1109 Variants Are Associated with a Severe Disorder of Brain Development and Arthrogryposis.

Author: Gueneau L, Fish RJ, Shamseldin HE, Voisin N, Tran Mau-Them F, Preiksaitiene E, Monroe GR, Lai A, Putoux A, Allias F, Ambusaidi Q, Ambrozaityte L, Cimbalistienė L, Delafontaine J, Guex N, Hashem M, Kurdi W, Jamuar SS, Ying LJ, Bonnard C, Pippucci T, Pradervand S, Roechert B, van Hasselt PM, Wiederkehr M, Wright CF, Xenarios I, van Haaften G, Shaw-Smith C, Schindewolf EM, Neerman-Arbez M, Sanlaville D, Lesca G, Guibaud L, Reversade B, Chelly J, Kučinskas V, Alkuraya FS, and Reymond A
Subjects: Adolescent, Animals, Brain diagnostic imaging, Brain pathology, Child, Female, Gene Knockdown Techniques, Humans, Infant, Infant, Newborn, Magnetic Resonance Imaging, Male, Pedigree, Zebrafish, Zebrafish Proteins genetics, Arthrogryposis genetics, Brain embryology, Mutation genetics, Proteins genetics
Abstract: Whole-exome and targeted sequencing of 13 individuals from 10 unrelated families with overlapping clinical manifestations identified loss-of-function and missense variants in KIAA1109 allowing delineation of an autosomal-recessive multi-system syndrome, which we suggest to name Alkuraya-Kučinskas syndrome (MIM 617822). Shared phenotypic features representing the cardinal characteristics of this syndrome combine brain atrophy with clubfoot and arthrogryposis. Affected individuals present with cerebral parenchymal underdevelopment, ranging from major cerebral parenchymal thinning with lissencephalic aspect to moderate parenchymal rarefaction, severe to mild ventriculomegaly, cerebellar hypoplasia with brainstem dysgenesis, and cardiac and ophthalmologic anomalies, such as microphthalmia and cataract. Severe loss-of-function cases were incompatible with life, whereas those individuals with milder missense variants presented with severe global developmental delay, syndactyly of 2 nd and 3 rd toes, and severe muscle hypotonia resulting in incapacity to stand without support. Consistent with a causative role for KIAA1109 loss-of-function/hypomorphic variants in this syndrome, knockdowns of the zebrafish orthologous gene resulted in embryos with hydrocephaly and abnormally curved notochords and overall body shape, whereas published knockouts of the fruit fly and mouse orthologous genes resulted in lethality or severe neurological defects reminiscent of the probands' features., (Copyright © 2017 The Authors. Published by Elsevier Inc. All rights reserved.)
Published: 2018
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22. On expert curation and scalability: UniProtKB/Swiss-Prot as a case study.

Author: Poux S, Arighi CN, Magrane M, Bateman A, Wei CH, Lu Z, Boutet E, Bye-A-Jee H, Famiglietti ML, Roechert B, and UniProt Consortium T
Subjects: Data Mining, Humans, Knowledge Bases, PubMed statistics & numerical data, Review Literature as Topic, Statistics as Topic, Data Curation statistics & numerical data, Databases, Protein statistics & numerical data
Abstract: Motivation: Biological knowledgebases, such as UniProtKB/Swiss-Prot, constitute an essential component of daily scientific research by offering distilled, summarized and computable knowledge extracted from the literature by expert curators. While knowledgebases play an increasingly important role in the scientific community, their ability to keep up with the growth of biomedical literature is under scrutiny. Using UniProtKB/Swiss-Prot as a case study, we address this concern via multiple literature triage approaches., Results: With the assistance of the PubTator text-mining tool, we tagged more than 10 000 articles to assess the ratio of papers relevant for curation. We first show that curators read and evaluate many more papers than they curate, and that measuring the number of curated publications is insufficient to provide a complete picture as demonstrated by the fact that 8000-10 000 papers are curated in UniProt each year while curators evaluate 50 000-70 000 papers per year. We show that 90% of the papers in PubMed are out of the scope of UniProt, that a maximum of 2-3% of the papers indexed in PubMed each year are relevant for UniProt curation, and that, despite appearances, expert curation in UniProt is scalable., Availability and Implementation: UniProt is freely available at http://www.uniprot.org/., Contact: sylvain.poux@sib.swiss., Supplementary Information: Supplementary data are available at Bioinformatics online., (© The Author 2017. Published by Oxford University Press.)
Published: 2017
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23. The complex portal--an encyclopaedia of macromolecular complexes.

Author: Meldal BH, Forner-Martinez O, Costanzo MC, Dana J, Demeter J, Dumousseau M, Dwight SS, Gaulton A, Licata L, Melidoni AN, Ricard-Blum S, Roechert B, Skyzypek MS, Tiwari M, Velankar S, Wong ED, Hermjakob H, and Orchard S
Subjects: Animals, Binding Sites, Humans, Internet, Macromolecular Substances chemistry, Mice, Protein Binding, Proteins genetics, Proteins metabolism, Databases, Protein, Proteins chemistry
Abstract: The IntAct molecular interaction database has created a new, free, open-source, manually curated resource, the Complex Portal (www.ebi.ac.uk/intact/complex), through which protein complexes from major model organisms are being collated and made available for search, viewing and download. It has been built in close collaboration with other bioinformatics services and populated with data from ChEMBL, MatrixDB, PDBe, Reactome and UniProtKB. Each entry contains information about the participating molecules (including small molecules and nucleic acids), their stoichiometry, topology and structural assembly. Complexes are annotated with details about their function, properties and complex-specific Gene Ontology (GO) terms. Consistent nomenclature is used throughout the resource with systematic names, recommended names and a list of synonyms all provided. The use of the Evidence Code Ontology allows us to indicate for which entries direct experimental evidence is available or if the complex has been inferred based on homology or orthology. The data are searchable using standard identifiers, such as UniProt, ChEBI and GO IDs, protein, gene and complex names or synonyms. This reference resource will be maintained and grow to encompass an increasing number of organisms. Input from groups and individuals with specific areas of expertise is welcome., (© The Author(s) 2014. Published by Oxford University Press on behalf of Nucleic Acids Research.)
Published: 2015
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24. The MIntAct project--IntAct as a common curation platform for 11 molecular interaction databases.

Author: Orchard S, Ammari M, Aranda B, Breuza L, Briganti L, Broackes-Carter F, Campbell NH, Chavali G, Chen C, del-Toro N, Duesbury M, Dumousseau M, Galeota E, Hinz U, Iannuccelli M, Jagannathan S, Jimenez R, Khadake J, Lagreid A, Licata L, Lovering RC, Meldal B, Melidoni AN, Milagros M, Peluso D, Perfetto L, Porras P, Raghunath A, Ricard-Blum S, Roechert B, Stutz A, Tognolli M, van Roey K, Cesareni G, and Hermjakob H
Subjects: Internet, Software, Databases, Protein, Protein Interaction Mapping
Abstract: IntAct (freely available at http://www.ebi.ac.uk/intact) is an open-source, open data molecular interaction database populated by data either curated from the literature or from direct data depositions. IntAct has developed a sophisticated web-based curation tool, capable of supporting both IMEx- and MIMIx-level curation. This tool is now utilized by multiple additional curation teams, all of whom annotate data directly into the IntAct database. Members of the IntAct team supply appropriate levels of training, perform quality control on entries and take responsibility for long-term data maintenance. Recently, the MINT and IntAct databases decided to merge their separate efforts to make optimal use of limited developer resources and maximize the curation output. All data manually curated by the MINT curators have been moved into the IntAct database at EMBL-EBI and are merged with the existing IntAct dataset. Both IntAct and MINT are active contributors to the IMEx consortium (http://www.imexconsortium.org).
Published: 2014
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25. Gene Ontology annotations and resources.

Author: Blake JA, Dolan M, Drabkin H, Hill DP, Li N, Sitnikov D, Bridges S, Burgess S, Buza T, McCarthy F, Peddinti D, Pillai L, Carbon S, Dietze H, Ireland A, Lewis SE, Mungall CJ, Gaudet P, Chrisholm RL, Fey P, Kibbe WA, Basu S, Siegele DA, McIntosh BK, Renfro DP, Zweifel AE, Hu JC, Brown NH, Tweedie S, Alam-Faruque Y, Apweiler R, Auchinchloss A, Axelsen K, Bely B, Blatter M-, Bonilla C, Bouguerleret L, Boutet E, Breuza L, Bridge A, Chan WM, Chavali G, Coudert E, Dimmer E, Estreicher A, Famiglietti L, Feuermann M, Gos A, Gruaz-Gumowski N, Hieta R, Hinz C, Hulo C, Huntley R, James J, Jungo F, Keller G, Laiho K, Legge D, Lemercier P, Lieberherr D, Magrane M, Martin MJ, Masson P, Mutowo-Muellenet P, O'Donovan C, Pedruzzi I, Pichler K, Poggioli D, Porras Millán P, Poux S, Rivoire C, Roechert B, Sawford T, Schneider M, Stutz A, Sundaram S, Tognolli M, Xenarios I, Foulgar R, Lomax J, Roncaglia P, Khodiyar VK, Lovering RC, Talmud PJ, Chibucos M, Giglio MG, Chang H-, Hunter S, McAnulla C, Mitchell A, Sangrador A, Stephan R, Harris MA, Oliver SG, Rutherford K, Wood V, Bahler J, Lock A, Kersey PJ, McDowall DM, Staines DM, Dwinell M, Shimoyama M, Laulederkind S, Hayman T, Wang S-, Petri V, Lowry T, D'Eustachio P, Matthews L, Balakrishnan R, Binkley G, Cherry JM, Costanzo MC, Dwight SS, Engel SR, Fisk DG, Hitz BC, Hong EL, Karra K, Miyasato SR, Nash RS, Park J, Skrzypek MS, Weng S, Wong ED, Berardini TZ, Huala E, Mi H, Thomas PD, Chan J, Kishore R, Sternberg P, Van Auken K, Howe D, and Westerfield M
Subjects: Internet, Phylogeny, Databases, Genetic, Genes, Molecular Sequence Annotation, Vocabulary, Controlled
Abstract: The Gene Ontology (GO) Consortium (GOC, http://www.geneontology.org) is a community-based bioinformatics resource that classifies gene product function through the use of structured, controlled vocabularies. Over the past year, the GOC has implemented several processes to increase the quantity, quality and specificity of GO annotations. First, the number of manual, literature-based annotations has grown at an increasing rate. Second, as a result of a new 'phylogenetic annotation' process, manually reviewed, homology-based annotations are becoming available for a broad range of species. Third, the quality of GO annotations has been improved through a streamlined process for, and automated quality checks of, GO annotations deposited by different annotation groups. Fourth, the consistency and correctness of the ontology itself has increased by using automated reasoning tools. Finally, the GO has been expanded not only to cover new areas of biology through focused interaction with experts, but also to capture greater specificity in all areas of the ontology using tools for adding new combinatorial terms. The GOC works closely with other ontology developers to support integrated use of terminologies. The GOC supports its user community through the use of e-mail lists, social media and web-based resources.
Published: 2013
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26. Protein interaction data curation: the International Molecular Exchange (IMEx) consortium.

Author: Orchard S, Kerrien S, Abbani S, Aranda B, Bhate J, Bidwell S, Bridge A, Briganti L, Brinkman FS, Cesareni G, Chatr-aryamontri A, Chautard E, Chen C, Dumousseau M, Goll J, Hancock RE, Hannick LI, Jurisica I, Khadake J, Lynn DJ, Mahadevan U, Perfetto L, Raghunath A, Ricard-Blum S, Roechert B, Salwinski L, Stümpflen V, Tyers M, Uetz P, Xenarios I, and Hermjakob H
Subjects: Periodicals as Topic, Protein Binding, Proteins chemistry, Quality Control, Databases, Protein, Protein Interaction Mapping, Proteins metabolism
Abstract: The International Molecular Exchange (IMEx) consortium is an international collaboration between major public interaction data providers to share literature-curation efforts and make a nonredundant set of protein interactions available in a single search interface on a common website (http://www.imexconsortium.org/). Common curation rules have been developed, and a central registry is used to manage the selection of articles to enter into the dataset. We discuss the advantages of such a service to the user, our quality-control measures and our data-distribution practices.
Published: 2012
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27. The UniProt-GO Annotation database in 2011.

Author: Dimmer EC, Huntley RP, Alam-Faruque Y, Sawford T, O'Donovan C, Martin MJ, Bely B, Browne P, Mun Chan W, Eberhardt R, Gardner M, Laiho K, Legge D, Magrane M, Pichler K, Poggioli D, Sehra H, Auchincloss A, Axelsen K, Blatter MC, Boutet E, Braconi-Quintaje S, Breuza L, Bridge A, Coudert E, Estreicher A, Famiglietti L, Ferro-Rojas S, Feuermann M, Gos A, Gruaz-Gumowski N, Hinz U, Hulo C, James J, Jimenez S, Jungo F, Keller G, Lemercier P, Lieberherr D, Masson P, Moinat M, Pedruzzi I, Poux S, Rivoire C, Roechert B, Schneider M, Stutz A, Sundaram S, Tognolli M, Bougueleret L, Argoud-Puy G, Cusin I, Duek-Roggli P, Xenarios I, and Apweiler R
Subjects: Databases, Protein, Molecular Sequence Annotation standards, Vocabulary, Controlled
Abstract: The GO annotation dataset provided by the UniProt Consortium (GOA: http://www.ebi.ac.uk/GOA) is a comprehensive set of evidenced-based associations between terms from the Gene Ontology resource and UniProtKB proteins. Currently supplying over 100 million annotations to 11 million proteins in more than 360,000 taxa, this resource has increased 2-fold over the last 2 years and has benefited from a wealth of checks to improve annotation correctness and consistency as well as now supplying a greater information content enabled by GO Consortium annotation format developments. Detailed, manual GO annotations obtained from the curation of peer-reviewed papers are directly contributed by all UniProt curators and supplemented with manual and electronic annotations from 36 model organism and domain-focused scientific resources. The inclusion of high-quality, automatic annotation predictions ensures the UniProt GO annotation dataset supplies functional information to a wide range of proteins, including those from poorly characterized, non-model organism species. UniProt GO annotations are freely available in a range of formats accessible by both file downloads and web-based views. In addition, the introduction of a new, normalized file format in 2010 has made for easier handling of the complete UniProt-GOA data set.
Published: 2012
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28. The IntAct molecular interaction database in 2012.

Author: Kerrien S, Aranda B, Breuza L, Bridge A, Broackes-Carter F, Chen C, Duesbury M, Dumousseau M, Feuermann M, Hinz U, Jandrasits C, Jimenez RC, Khadake J, Mahadevan U, Masson P, Pedruzzi I, Pfeiffenberger E, Porras P, Raghunath A, Roechert B, Orchard S, and Hermjakob H
Subjects: Computer Graphics, Genes, Internet, Molecular Sequence Annotation, Sequence Analysis, Protein, Software, Databases, Protein, Protein Interaction Mapping
Abstract: IntAct is an open-source, open data molecular interaction database populated by data either curated from the literature or from direct data depositions. Two levels of curation are now available within the database, with both IMEx-level annotation and less detailed MIMIx-compatible entries currently supported. As from September 2011, IntAct contains approximately 275,000 curated binary interaction evidences from over 5000 publications. The IntAct website has been improved to enhance the search process and in particular the graphical display of the results. New data download formats are also available, which will facilitate the inclusion of IntAct's data in the Semantic Web. IntAct is an active contributor to the IMEx consortium (http://www.imexconsortium.org). IntAct source code and data are freely available at http://www.ebi.ac.uk/intact.
Published: 2012
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29. Protein variety and functional diversity: Swiss-Prot annotation in its biological context.

Author: Boeckmann B, Blatter MC, Famiglietti L, Hinz U, Lane L, Roechert B, and Bairoch A
Subjects: Amino Acid Sequence, Molecular Sequence Data, Protein Folding, Knowledge Bases, Proteins chemistry
Abstract: We all know that the dogma 'one gene, one protein' is obsolete. A functional protein and, likewise, a protein's ultimate function depend not only on the underlying genetic information but also on the ongoing conditions of the cellular system. Frequently the transcript, like the polypeptide, is processed in multiple ways, but only one or a few out of a multitude of possible variants are produced at a time. An overview on processes that can lead to sequence variety and structural diversity in eukaryotes is given. The UniProtKB/Swiss-Prot protein knowledgebase provides a wealth of information regarding protein variety, function and associated disorders. Examples for such annotation are shown and further ones are available at http://www.expasy.org/sprot/tutorial/examples_CRB.
Published: 2005
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30. The HUPO PSI's molecular interaction format--a community standard for the representation of protein interaction data.

Author: Hermjakob H, Montecchi-Palazzi L, Bader G, Wojcik J, Salwinski L, Ceol A, Moore S, Orchard S, Sarkans U, von Mering C, Roechert B, Poux S, Jung E, Mersch H, Kersey P, Lappe M, Li Y, Zeng R, Rana D, Nikolski M, Husi H, Brun C, Shanker K, Grant SG, Sander C, Bork P, Zhu W, Pandey A, Brazma A, Jacq B, Vidal M, Sherman D, Legrain P, Cesareni G, Xenarios I, Eisenberg D, Steipe B, Hogue C, and Apweiler R
Subjects: Guidelines as Topic, Information Storage and Retrieval methods, Internationality, Natural Language Processing, Protein Binding, Protein Interaction Mapping methods, Proteins chemistry, Proteins genetics, Proteins metabolism, Proteomics methods, Reference Standards, Software, Database Management Systems standards, Databases, Protein standards, Information Storage and Retrieval standards, Protein Interaction Mapping standards, Proteins classification, Proteomics standards, User-Computer Interface
Abstract: A major goal of proteomics is the complete description of the protein interaction network underlying cell physiology. A large number of small scale and, more recently, large-scale experiments have contributed to expanding our understanding of the nature of the interaction network. However, the necessary data integration across experiments is currently hampered by the fragmentation of publicly available protein interaction data, which exists in different formats in databases, on authors' websites or sometimes only in print publications. Here, we propose a community standard data model for the representation and exchange of protein interaction data. This data model has been jointly developed by members of the Proteomics Standards Initiative (PSI), a work group of the Human Proteome Organization (HUPO), and is supported by major protein interaction data providers, in particular the Biomolecular Interaction Network Database (BIND), Cellzome (Heidelberg, Germany), the Database of Interacting Proteins (DIP), Dana Farber Cancer Institute (Boston, MA, USA), the Human Protein Reference Database (HPRD), Hybrigenics (Paris, France), the European Bioinformatics Institute's (EMBL-EBI, Hinxton, UK) IntAct, the Molecular Interactions (MINT, Rome, Italy) database, the Protein-Protein Interaction Database (PPID, Edinburgh, UK) and the Search Tool for the Retrieval of Interacting Genes/Proteins (STRING, EMBL, Heidelberg, Germany).
Published: 2004
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31. IntAct: an open source molecular interaction database.

Author: Hermjakob H, Montecchi-Palazzi L, Lewington C, Mudali S, Kerrien S, Orchard S, Vingron M, Roechert B, Roepstorff P, Valencia A, Margalit H, Armstrong J, Bairoch A, Cesareni G, Sherman D, and Apweiler R
Subjects: Animals, Computational Biology, Humans, Information Storage and Retrieval, Internet, Software, User-Computer Interface, Vocabulary, Controlled, Databases, Protein, Protein Binding, Proteins metabolism
Abstract: IntAct provides an open source database and toolkit for the storage, presentation and analysis of protein interactions. The web interface provides both textual and graphical representations of protein interactions, and allows exploring interaction networks in the context of the GO annotations of the interacting proteins. A web service allows direct computational access to retrieve interaction networks in XML format. IntAct currently contains approximately 2200 binary and complex interactions imported from the literature and curated in collaboration with the Swiss-Prot team, making intensive use of controlled vocabularies to ensure data consistency. All IntAct software, data and controlled vocabularies are available at http://www.ebi.ac.uk/intact.
Published: 2004
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31 results on '"Roechert, B."'

1. Encompassing new use cases - level 3.0 of the HUPO-PSI format for molecular interactions

2. Gene Ontology annotations and resources

3. The IntAct molecular interaction database in 2010

4. Capturing variation impact on molecular interactions in the IMEx Consortium mutations data set

5. IntAct—open source resource for molecular interaction data

6. Encompassing new use cases - level 3.0 of the HUPO-PSI format for molecular interactions

7. The SIB Swiss Institute of Bioinformatics' resources: focus on curated databases

8. The Gene Ontology in 2010: extensions and refinements

9. IntAct - an open source molecular interaction database

10. The IntAct molecular interaction database in 2010

11. The UniProt-GO Annotation database in 2011

12. The IntAct molecular interaction database in 2012

13. The IntAct molecular interaction database in 2010

14. Collaborative annotation of genes and proteins between UniProtKB/Swiss-Prot and dictyBase

15. Encompassing new use cases - level 3.0 of the HUPO-PSI format for molecular interactions

16. Encompassing new use cases - level 3.0 of the HUPO-PSI format for molecular interactions

17. The Gene Ontology: enhancements for 2011

18. The Universal Protein Resource (UniProt) in 2010

19. Ongoing and future developments at the Universal Protein Resource

20. From protein sequences to 3D-structures and beyond: the example of the UniProt knowledgebase

21. KIAA1109 Variants Are Associated with a Severe Disorder of Brain Development and Arthrogryposis.

22. On expert curation and scalability: UniProtKB/Swiss-Prot as a case study.

23. The complex portal--an encyclopaedia of macromolecular complexes.

24. The MIntAct project--IntAct as a common curation platform for 11 molecular interaction databases.

25. Gene Ontology annotations and resources.

26. Protein interaction data curation: the International Molecular Exchange (IMEx) consortium.

27. The UniProt-GO Annotation database in 2011.

28. The IntAct molecular interaction database in 2012.

29. Protein variety and functional diversity: Swiss-Prot annotation in its biological context.

30. The HUPO PSI's molecular interaction format--a community standard for the representation of protein interaction data.

31. IntAct: an open source molecular interaction database.

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