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1. The ISMARA client [version 1; referees: 2 approved]

Author

Panu Artimo, Séverine Duvaud, Mikhail Pachkov, Vassilios Ioannidis, Erik van Nimwegen, and Heinz Stockinger

Subjects
Bioinformatics, Medicine, Science
Abstract

ISMARA (ismara.unibas.ch) automatically infers the key regulators and regulatory interactions from high-throughput gene expression or chromatin state data. However, given the large sizes of current next generation sequencing (NGS) datasets, data uploading times are a major bottleneck. Additionally, for proprietary data, users may be uncomfortable with uploading entire raw datasets to an external server. Both these problems could be alleviated by providing a means by which users could pre-process their raw data locally, transferring only a small summary file to the ISMARA server. We developed a stand-alone client application that pre-processes large input files (RNA-seq or ChIP-seq data) on the user's computer for performing ISMARA analysis in a completely automated manner, including uploading of small processed summary files to the ISMARA server. This reduces file sizes by up to a factor of 1000, and upload times from many hours to mere seconds. The client application is available from ismara.unibas.ch/ISMARA/client.

Published
2016
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2. Expasy, the Swiss Bioinformatics Resource Portal, as designed by its users

Author

Heinz Stockinger, Chiara Gabella, Séverine Duvaud, Vassilios Ioannidis, Frédérique Lisacek, and Christine Durinx

Subjects
Biological data, Databases, Factual, AcademicSubjects/SCI00010, Research areas, Interface (Java), ExPASy, Computational Biology, Ontology (information science), Biology, Bioinformatics, User-Computer Interface, Resource (project management), Web Server Issue, Genetics, User interface, Software, User-centered design
Abstract

The SIB Swiss Institute of Bioinformatics (https://www.sib.swiss) creates, maintains and disseminates a portfolio of reliable and state-of-the-art bioinformatics services and resources for the storage, analysis and interpretation of biological data. Through Expasy (https://www.expasy.org), the Swiss Bioinformatics Resource Portal, the scientific community worldwide, freely accesses more than 160 SIB resources supporting a wide range of life science and biomedical research areas. In 2020, Expasy was redesigned through a user-centric approach, known as User-Centred Design (UCD), whose aim is to create user interfaces that are easy-to-use, efficient and targeting the intended community. This approach, widely used in other fields such as marketing, e-commerce, and design of mobile applications, is still scarcely explored in bioinformatics. In total, around 50 people were actively involved, including internal stakeholders and end-users. In addition to an optimised interface that meets users' needs and expectations, the new version of Expasy provides an up-to-date and accurate description of high-quality resources based on a standardised ontology, allowing to connect functionally-related resources., Graphical Abstract Graphical AbstractThe illustration of Expasy's redesign through a user-centric approach: all the elements that contributed to the process (icons) and the main strengths (stars) of the new implementation.

Published
2021
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3. The bio.tools registry of software tools and data resources for the life sciences

Author

Piotr Jaroslaw Chmura, Salvador Capella, Rob Hooft, Søren Brunak, Tomáš Raček, Inge Jonassen, Rodrigo Lopez, Jacques van Helden, Bengt Persson, Hedi Peterson, Brane Leskošek, Alfonso Valencia, Heinz Stockinger, Hervé Ménager, Emil Karol Rydza, Matúš Kalaš, Josep Lluís Gelpí, Tommi Nyrönen, Hans Ienasescu, Christophe Blanchet, Rafael C. Jimenez, Björn Grüning, Jon Ison, Babis Savakis, Radka Svobodová Vařeková, Arlindo L. Oliveira, Peter Løngreen, Niall Beard, Gert Vriend, Veit Schwämmle, Jiří Vondrášek, Séverine Duvaud, Federico Zambelli, Ahto Salumets, Kristoffer Rapacki, Olivier Collin, Technical University of Denmark [Lyngby] (DTU), University of Copenhagen = Københavns Universitet (KU), Hub Bioinformatique et Biostatistique - Bioinformatics and Biostatistics HUB, Centre National de la Recherche Scientifique (CNRS)-Institut Pasteur [Paris], University of Bergen (UIB), University of Southern Denmark (SDU), Albert-Ludwigs-Universität Freiburg, University of Manchester [Manchester], European Bioinformatics Institute [Hinxton] (EMBL-EBI), EMBL Heidelberg, Swiss Institute of Bioinformatics - Lausanne (SIB), Swiss Institute of Bioinformatics, Uppsala University, Central European Institute of Technology [Brno] (CEITEC), Czech Academy of Sciences [Prague] (ASCR), University of Tartu, Dutch Techcentre for Life Sciences [Utrecht], Center for Science (CSC-IT), CSC-IT Center for Science, Institució Catalana de Recerca i Estudis Avançats (ICREA), Barcelona Supercomputing Center - Centro Nacional de Supercomputacion (BSC - CNS), Università degli studi di Milano [Milano], Biomedical Sciences Research Centre Alexander Fleming [Vari, Greece] (BSRC), University of Ljubljana, Institut Français de Bioinformatique - UMS CNRS 3601 (IFB-CORE), Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de la Recherche Agronomique (INRA), ELIXIR Hub [Cambridge], Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento em Lisboa (INESC-ID), Instituto Superior Técnico, Universidade Técnica de Lisboa (IST)-Instituto de Engenharia de Sistemas e Computadores (INESC), Nijmegen Medical Centre [Nijmegen], Plateforme bioinformatique GenOuest [Rennes], Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Plateforme Génomique Santé Biogenouest®-Inria Rennes – Bretagne Atlantique, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT), Theories and Approaches of Genomic Complexity (TAGC), Aix Marseille Université (AMU)-Institut National de la Santé et de la Recherche Médicale (INSERM), Danish Ministry of Higher Education and Science, European Project: 676559,H2020,H2020-INFRADEV-1-2015-1,ELIXIR-EXCELERATE(2015), Institut Pasteur [Paris]-Centre National de la Recherche Scientifique (CNRS), University of Bergen (UiB), Swiss Institute of Bioinformatics [Lausanne] (SIB), Université de Lausanne (UNIL), Central European Institute of Technology [Brno] (CEITEC MU), Brno University of Technology [Brno] (BUT), Czech Academy of Sciences [Prague] (CAS), Università degli Studi di Milano [Milano] (UNIMI), Institut National de la Recherche Agronomique (INRA)-Institut National de Recherche en Informatique et en Automatique (Inria)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM), Inria Rennes – Bretagne Atlantique, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Plateforme Génomique Santé Biogenouest®-GESTION DES DONNÉES ET DE LA CONNAISSANCE (IRISA-D7), Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Université de Bretagne Sud (UBS)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National de Recherche en Informatique et en Automatique (Inria)-École normale supérieure - Rennes (ENS Rennes)-Centre National de la Recherche Scientifique (CNRS)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-CentraleSupélec-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Université de Bretagne Sud (UBS)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-École normale supérieure - Rennes (ENS Rennes)-Centre National de la Recherche Scientifique (CNRS)-CentraleSupélec-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Danmarks Tekniske Universitet = Technical University of Denmark (DTU), University of Copenhagen = Københavns Universitet (UCPH), Institut Pasteur [Paris] (IP)-Centre National de la Recherche Scientifique (CNRS), Université de Lausanne = University of Lausanne (UNIL), Università degli Studi di Milano = University of Milan (UNIMI), Institut National de la Recherche Agronomique (INRA)-Institut National de Recherche en Informatique et en Automatique (Inria)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Université de Rennes (UR)-Plateforme Génomique Santé Biogenouest®-Inria Rennes – Bretagne Atlantique, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-GESTION DES DONNÉES ET DE LA CONNAISSANCE (IRISA-D7), Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique (IMT Atlantique), and Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Université de Rennes 1 (UR1)

Subjects
lcsh:QH426-470, Databases, Factual, Bioinformatics, [SDV]Life Sciences [q-bio], MEDLINE, Biology, Biological Science Disciplines, 03 medical and health sciences, 0302 clinical medicine, Software, Bioinformàtica, lcsh:QH301-705.5, 030304 developmental biology, 0303 health sciences, Internet, business.industry, Biochemistry and Molecular Biology, Data science, [SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM], Data resources, Variety (cybernetics), lcsh:Genetics, Workflow, lcsh:Biology (General), The Internet, Open Letter, business, Nanomedicine Radboud Institute for Molecular Life Sciences [Radboudumc 19], Biokemi och molekylärbiologi, 030217 neurology & neurosurgery
Abstract

Bioinformaticians and biologists rely increasingly upon workflows for the flexible utilization of the many life science tools that are needed to optimally convert data into knowledge. We outline a pan-European enterprise to provide a catalogue (https://bio.tools) of tools and databases that can be used in these workflows. bio.tools not only lists where to find resources, but also provides a wide variety of practical information. Electronic supplementary material The online version of this article (10.1186/s13059-019-1772-6) contains supplementary material, which is available to authorized users.

Published
2019
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4. ExPASy: SIB bioinformatics resource portal

Author

Heinz Stockinger, Gábor Csárdi, Robin Liechti, Aurélien Grosdidier, Manohar Jonnalagedda, Delphine Baratin, Elisabeth Gasteiger, Nicole Redaschi, Dmitry Kuznetsov, Séverine Duvaud, Konstantin Arnold, Arnaud Fortier, Grégoire Rossier, Ioannis Xenarios, Volker Flegel, Panu Artimo, Céline Hernandez, Vassilios Ioannidis, Khaled Mostaguir, Edouard de Castro, and Sébastien Moretti

Subjects
Proteomics, Internet, business.industry, media_common.quotation_subject, ExPASy, Computational Biology, Articles, Genomics, Entry point, Biology, Bioinformatics, Domain (software engineering), Systems Integration, User-Computer Interface, Resource (project management), Computer Graphics, Genetics, System integration, The Internet, User interface, business, Software, Reputation, media_common
Abstract

ExPASy (http://www.expasy.org) has worldwide reputation as one of the main bioinformatics resources for proteomics. It has now evolved, becoming an extensible and integrative portal accessing many scientific resources, databases and software tools in different areas of life sciences. Scientists can henceforth access seamlessly a wide range of resources in many different domains, such as proteomics, genomics, phylogeny/evolution, systems biology, population genetics, transcriptomics, etc. The individual resources (databases, web-based and downloadable software tools) are hosted in a 'decentralized' way by different groups of the SIB Swiss Institute of Bioinformatics and partner institutions. Specifically, a single web portal provides a common entry point to a wide range of resources developed and operated by different SIB groups and external institutions. The portal features a search function across 'selected' resources. Additionally, the availability and usage of resources are monitored. The portal is aimed for both expert users and people who are not familiar with a specific domain in life sciences. The new web interface provides, in particular, visual guidance for newcomers to ExPASy.

Published
2017

5. Activities at the Universal Protein Resource (UniProt)

Author

Borisas Bursteinas, L-S Yeh, Klemens Pichler, Guillaume Keller, C Casal-Casas, Gerritsen, A Da Silva, Prudence Mutowo, Xavier D. Martin, Peter B. McGarvey, Volynkin, J Lew, K Sonesson, M. C. Blatter, L Pureza, Rodrigo Lopez, Anne Estreicher, Alex Bateman, Ramona Britto, A-L Veuthey, Penelope Garmiri, Patrick Masson, Baris E. Suzek, Cathy H. Wu, Paul Gane, Maria Jesus Martin, Shyamala Sundaram, Yasmin Alam-Faruque, Ioannis Xenarios, Alan Bridge, WM Chan, Guoying Qi, L Famiglietti, Christian J. A. Sigrist, Nadine Gruaz-Gumowski, Chantal Hulo, Hermann Zellner, Matthew Corbett, Monica Pozzato, Thierry Lombardot, S Staehli, Jerven Bolleman, Sylvain Poux, Séverine Duvaud, Tony Sawford, Chuming Chen, Xavier Watkins, Yuqi Wang, Elisabeth Gasteiger, Kati Laiho, Qinghua Wang, M Bingley, Lydie Bougueleret, Kristian B. Axelsen, Yongxing Chen, Salvo Paesano, Andrew Nightingale, Nicole Redaschi, Emma Hatton-Ellis, John S. Garavelli, Delphine Baratin, Darren A. Natale, Gayatri Chavali, E de Castro, Leslie Arminski, Damien Lieberherr, Elena Cibrian-Uhalte, Catherine Rivoire, Bernd Roechert, Yerramalla, Hongzhan Huang, Alistair MacDougall, Edd Turner, Maria Victoria Schneider, Aleksandra Shypitsyna, Jie Zhang, Michele Magrane, Dolnide Dornevil, Lara, M Donnelly, F. Fazzini, Andrea H. Auchincloss, Emanuele Alpi, Benoit Bely, Brigitte Boeckmann, Rolf Apweiler, Rachael P. Huntley, Lionel Breuza, Sangya Pundir, Lorenzo Cerutti, Tunca Doğan, EB Casanova, P van Rensburg, Rabie Saidi, Jie Luo, Mickael Goujon, Laure Verbregue, Tony Wardell, W Liu, Andre Stutz, P Lemercier, Hamish McWilliam, Ivo Pedruzzi, P-A Binz, Sebastien Gehant, Béatrice A. Cuche, Carlos Bonilla, Duncan Legge, C. R. Vinayaka, Anne Morgat, Diego Poggioli, J Arganiska, Teresa Batista Neto, Emmanuel Boutet, Florence Jungo, Ursula Hinz, Parit Bansal, Sandra Orchard, Ricardo Antunes, Manuela Pruess, M Feuermann, S. Rosanoff, Claire O'Donovan, Cecilia N. Arighi, J. James, M Doche, Elisabeth Coudert, M De Giorgi, Reija Hieta, Sandrine Pilbout, Arnaud Gos, Michael Tognolli, Leyla Jael Garcia Castro, and Lucila Aimo

Subjects
Proteomics, 0303 health sciences, Internet, Representation (systemics), Genome database, Proteins, Molecular Sequence Annotation, Computational biology, Genomics, Biology, Ontology (information science), Universal Protein Resource, II. Protein sequence and structure, motifs and domains, 03 medical and health sciences, Annotation, 0302 clinical medicine, Gene Ontology, Sequence Analysis, Protein, 030220 oncology & carcinogenesis, Genetics, UniProt, Databases, Protein, 030304 developmental biology
Abstract

The mission of the Universal Protein Resource (UniProt) (http://www.uniprot.org) is to provide the scientific community with a comprehensive, high-quality and freely accessible resource of protein sequences and functional annotation. It integrates, interprets and standardizes data from literature and numerous resources to achieve the most comprehensive catalog possible of protein information. The central activities are the biocuration of the UniProt Knowledgebase and the dissemination of these data through our Web site and web services. UniProt is produced by the UniProt Consortium, which consists of groups from the European Bioinformatics Institute (EBI), the SIB Swiss Institute of Bioinformatics (SIB) and the Protein Information Resource (PIR). UniProt is updated and distributed every 4 weeks and can be accessed online for searches or downloads.

Published
2013

6. The ISMARA client

Author

Vassilios Ioannidis, Heinz Stockinger, Panu Artimo, Erik van Nimwegen, Mikhail Pachkov, and Séverine Duvaud

Subjects
0301 basic medicine, Computer science, Bioinformatics, data analysis, computer.software_genre, General Biochemistry, Genetics and Molecular Biology, Bottleneck, 03 medical and health sciences, Upload, 0302 clinical medicine, Factor (programming language), General Pharmacology, Toxicology and Pharmaceutics, genome, computer.programming_language, Graphical user interface, General Immunology and Microbiology, business.industry, Software Tool Article, General Medicine, Articles, 030104 developmental biology, 030220 oncology & carcinogenesis, command line tool, Key (cryptography), Operating system, motif activity response analysis, Graphical User Interface, State (computer science), Raw data, business, computer
Abstract

ISMARA (ismara.unibas.ch) automatically infers the key regulators and regulatory interactions from high-throughput gene expression or chromatin state data. However, given the large sizes of current next generation sequencing (NGS) datasets, data uploading times are a major bottleneck. Additionally, for proprietary data, users may be uncomfortable with uploading entire raw datasets to an external server. Both these problems could be alleviated by providing a means by which users could pre-process their raw data locally, transferring only a small summary file to the ISMARA server. We developed a stand-alone client application that pre-processes large input files (RNA-seq or ChIP-seq data) on the user's computer for performing ISMARA analysis in a completely automated manner, including uploading of small processed summary files to the ISMARA server. This reduces file sizes by up to a factor of 1000, and upload times from many hours to mere seconds. The client application is available from ismara.unibas.ch/ISMARA/client.

Published
2016

7. N-Terminal myristoylation predictions by ensembles of neural networks

Author

Anne-Lise Veuthey, Séverine Duvaud, Cédric Yvon, and Guido Bologna

Subjects
Databases, Factual, Glycine, Decision tree, Word error rate, PROSITE, Biology, Machine learning, computer.software_genre, Sensitivity and Specificity, Biochemistry, Artificial Intelligence, Amino Acid Sequence, Amino Acids, Molecular Biology, Probability, Myristoylation, Artificial neural network, business.industry, Pattern recognition, lipids (amino acids, peptides, and proteins), Neural Networks, Computer, Artificial intelligence, business, Myristic Acids, Protein Processing, Post-Translational, computer
Abstract

N-terminal myristoylation is a post-translational modification that causes the addition of a myristate to a glycine in the N-terminal end of the amino acid chain. This work presents neural network (NN) models that learn to discriminate myristoylated and nonmyristoylated proteins. Ensembles of 25 NNs and decision trees were trained on 390 positive sequences and 327 negative sequences. Experiments showed that NN ensembles were more accurate than decision tree ensembles. Our NN predictor evaluated by the leave-one-out procedure, obtained a false positive error rate equal to 2.1%. That was better than the PROSITE pattern for myristoylation for which the false positive error rate was 22.3%. On a recent version of Swiss-Prot (41.2), the NN ensemble predicted 876 myristoylated proteins, while 1150 proteins were predicted by the PROSITE pattern for myristoylation. Finally, compared to the well-known NMT predictor, the NN predictor gave similar results. Our tool is available under http://www.expasy.org/tools/myristoylator/myristoylator.html.

Published
2004
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8. UniProt: a hub for protein information

Author

Ursula Hinz, Prudence Mutowo, Laure Verbregue, Weizhong Li, Nadine Gruaz-Gumowski, Chantal Hulo, Hermann Zellner, Shyamala Sundaram, P Lemercier, Guoying Qi, Parit Bansal, Tony Sawford, Sebastien Gehant, Delphine Baratin, Francesco Fazzini, Monica Pozzato, Séverine Duvaud, Lai-Su L. Yeh, Nicole Redaschi, Emma Hatton-Ellis, Darren A. Natale, Damien Lieberherr, Luis Figueira, Bernd Roechert, Borisas Bursteinas, Gayatri Chavali, Brigitte Boeckmann, Cristina Casal-Casas, Baris E. Suzek, Cathy H. Wu, Paul Gane, Ghislaine Argoud-Puy, Klemens Pichler, Rachael P. Huntley, Sangya Pundir, Alan Bridge, Edouard de Castro, Benoit Bely, Kristian B. Axelsen, Emmanuel Boutet, Andre Stutz, Penelope Garmiri, Christian J. A. Sigrist, John S. Garavelli, Rolf Apweiler, Peter B. McGarvey, Patrick Masson, Maria Jesus Martin, K Sonesson, Xavier Watkins, Ioannis Xenarios, Vladimir Volynkin, Hamish McWilliam, Mark Bingley, Guillaume Keller, Hongzhan Huang, Rabie Saidi, Sylvain Poux, Tunca Doğan, Yuqi Wang, Diego Poggioli, Rodrigo Lopez, Alistair MacDougall, Kati Laiho, Qinghua Wang, W Liu, Carlos Bonilla, Duncan Legge, C. R. Vinayaka, Anne Morgat, Thierry Lombardot, Jerven Bolleman, Nevila Nouspikel, Aleksandra Shypitsyna, Emanuele Alpi, Yongxing Chen, Anne Lise Veuthey, Andrew Nightingale, Béatrice A. Cuche, Alex Bateman, Ramona Britto, Alan Wilter Sousa da Silva, Jie Luo, Lionel Breuza, Marie Claude Blatter, Elena Cibrian-Uhalte, Michel Schneider, Chuming Chen, Michele Magrane, L Famiglietti, Meher Shruti Yerramalla, Lydie Bougueleret, Vivienne Baillie Gerritsen, Anne Estreicher, Dolnide Dornevil, Catherine Rivoire, Jian Zhang, S Staehli, Andrew Peter Cowley, Tony Wardell, Ivo Pedruzzi, Andrea H. Auchincloss, Salvo Paesano, Elisabeth Gasteiger, Luis Pureza, Marc Feuermann, Leslie Arminski, Xavier D. Martin, Teresa Batista Neto, Steven Rosanoff, Florence Jungo, Sandra Orchard, Claire O'Donovan, Elisabeth Coudert, Ricardo Antunes, Sandrine Pilbout, Vicente Lara, Arnaud Gos, Reija Hieta, Manuela Pruess, Joanna Arganiska, Edward Turner, Maurizio De Giorgi, M Doche, Cecilia N. Arighi, Michael Tognolli, Leyla Jael Garcia Castro, and Lucila Aimo

Subjects
Proteome, Computer science, Molecular Sequence Annotation, Computational biology, Accession number (bioinformatics), DNA sequencing, World Wide Web, Identifier, Annotation, Sequence Analysis, Protein, Genetics, Database Issue, natural sciences, UniProt, Databases, Protein
Abstract

UniProt is an important collection of protein sequences and their annotations, which has doubled in size to 80 million sequences during the past year. This growth in sequences has prompted an extension of UniProt accession number space from 6 to 10 characters. An increasing fraction of new sequences are identical to a sequence that already exists in the database with the majority of sequences coming from genome sequencing projects. We have created a new proteome identifier that uniquely identifies a particular assembly of a species and strain or subspecies to help users track the provenance of sequences. We present a new website that has been designed using a user-experience design process. We have introduced an annotation score for all entries in UniProt to represent the relative amount of knowledge known about each protein. These scores will be helpful in identifying which proteins are the best characterized and most informative for comparative analysis. All UniProt data is provided freely and is available on the web at http://www.uniprot.org/.

Published
2014

9. 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
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10. Infrastructure for the life sciences: design and implementation of the UniProt website

Author

Amos Marc Bairoch, Baris E. Suzek, Maria Jesus Martin, Peter B. McGarvey, Séverine Duvaud, Nicole Redaschi, Elisabeth Gasteiger, Isabelle Phan, and Eric Jain

Subjects
Computer science, Information Storage and Retrieval, lcsh:Computer applications to medicine. Medical informatics, Biochemistry, Database, World Wide Web, User-Computer Interface, 03 medical and health sciences, Annotation, Documentation, Sequence Analysis, Protein, Structural Biology, Seven Basic Tools of Quality, ddc:576, Databases, Protein, lcsh:QH301-705.5, GeneralLiterature_REFERENCE(e.g.,dictionaries,encyclopedias,glossaries), Molecular Biology, 030304 developmental biology, Internet, 0303 health sciences, Information Storage and Retrieval/methods, Applied Mathematics, 030302 biochemistry & molecular biology, Proteins, Full text search, Computer Science Applications, Identifier, Data access, lcsh:Biology (General), lcsh:R858-859.7, UniProt, DNA microarray, Proteins/chemistry
Abstract

Background The UniProt consortium was formed in 2002 by groups from the Swiss Institute of Bioinformatics (SIB), the European Bioinformatics Institute (EBI) and the Protein Information Resource (PIR) at Georgetown University, and soon afterwards the website http://www.uniprot.org was set up as a central entry point to UniProt resources. Requests to this address were redirected to one of the three organisations' websites. While these sites shared a set of static pages with general information about UniProt, their pages for searching and viewing data were different. To provide users with a consistent view and to cut the cost of maintaining three separate sites, the consortium decided to develop a common website for UniProt. Following several years of intense development and a year of public beta testing, the http://www.uniprot.org domain was switched to the newly developed site described in this paper in July 2008. Description The UniProt consortium is the main provider of protein sequence and annotation data for much of the life sciences community. The http://www.uniprot.org website is the primary access point to this data and to documentation and basic tools for the data. These tools include full text and field-based text search, similarity search, multiple sequence alignment, batch retrieval and database identifier mapping. This paper discusses the design and implementation of the new website, which was released in July 2008, and shows how it improves data access for users with different levels of experience, as well as to machines for programmatic access. http://www.uniprot.org/ is open for both academic and commercial use. The site was built with open source tools and libraries. Feedback is very welcome and should be sent to help@uniprot.org. Conclusion The new UniProt website makes accessing and understanding UniProt easier than ever. The two main lessons learned are that getting the basics right for such a data provider website has huge benefits, but is not trivial and easy to underestimate, and that there is no substitute for using empirical data throughout the development process to decide on what is and what is not working for your users.

Published
2009
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11. Design and Implementation of the UniProt Website

Author

Isabelle Phan, Nicole Redaschi, Peter B. McGarvey, Séverine Duvaud, Maria Jesus Martin, Amos Marc Bairoch, Elisabeth Gasteiger, and Eric Jain

Subjects
World Wide Web, Annotation, Documentation, Data access, Point (typography), Bioinformatics, Computer science, General Materials Science, Seven Basic Tools of Quality, UniProt, GeneralLiterature_REFERENCE(e.g.,dictionaries,encyclopedias,glossaries)
Abstract

The UniProt consortium is the main provider of protein sequence and annotation data for much of the life sciences community. The "www.uniprot.org":http://www.uniprot.org website is the primary access point to this data and to documentation and basic tools for the data. This paper discusses the design and implementation of the new website, which was released in July 2008, and shows how it improves data access for users with different levels of experience, as well as to machines for programmatic access.

Published
2008
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12. The bio.tools registry of software tools and data resources for the life sciences

Author

Jon Ison, Hans Ienasescu, Piotr Chmura, Emil Rydza, Hervé Ménager, Matúš Kalaš, Veit Schwämmle, Björn Grüning, Niall Beard, Rodrigo Lopez, Severine Duvaud, Heinz Stockinger, Bengt Persson, Radka Svobodová Vařeková, Tomáš Raček, Jiří Vondrášek, Hedi Peterson, Ahto Salumets, Inge Jonassen, Rob Hooft, Tommi Nyrönen, Alfonso Valencia, Salvador Capella, Josep Gelpí, Federico Zambelli, Babis Savakis, Brane Leskošek, Kristoffer Rapacki, Christophe Blanchet, Rafael Jimenez, Arlindo Oliveira, Gert Vriend, Olivier Collin, Jacques van Helden, Peter Løngreen, and Søren Brunak

Subjects
Biology (General), QH301-705.5, Genetics, QH426-470
Abstract

Abstract Bioinformaticians and biologists rely increasingly upon workflows for the flexible utilization of the many life science tools that are needed to optimally convert data into knowledge. We outline a pan-European enterprise to provide a catalogue (https://bio.tools) of tools and databases that can be used in these workflows. bio.tools not only lists where to find resources, but also provides a wide variety of practical information.

Published
2019
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13. Collaborative annotation of genes and proteins between UniProtKB/Swiss-Prot and dictyBase

Author

Ruchira S. Datta, Rex L. Chisholm, Michel Schneider, Alan Bridge, Catherine Rivoire, Sylvain Poux, Séverine Duvaud, Alain Gateau, P. Lemercier, W.C. de Lima, Elisabeth Coudert, Chantal Hulo, Emmanuel Boutet, Petra Fey, Ursula Hinz, Michael Tognolli, E. Stanley, Kristian B. Axelsen, Bernd Roechert, Amos Marc Bairoch, M. Moinat, Lydie Lane, A. Nikolskaya, Florence Jungo, Ivo Pedruzzi, P. Brown, Kimmen Sjölander, T. de Oliveira Lima, J. James, S. Jimenez, S. Braconi Quintaje, Guillaume Keller, Damien Lieberherr, Pascale Gaudet, S. Ferro Rojas, Andrea H. Auchincloss, N. Farriol-Mathis, Marc Feuermann, Lydie Bougueleret, Gaudet, Pascale, Lane, Lydie, Bridge, Alan James, Poux, Sylvain, Auchincloss Damay, Andréa, Axelsen, Kristian Buhl, Braconi Quintaje, Silvia, Boutet, Emmanuel, Coudert, Elisabeth, Lima, Wanessa Cristina, De Oliveira Lima, Tania, Duvaud, Séverine, Farriol-Mathis, Nathalie, Ferro Rojas, Serenella, Feuermann, Marc, Gateau, Alain, Hinz, Ursula, Hulo, Chantal, James, Janet, Jimenez, Silvia, Jungo, Florence, Keller, Guillaume Bertrand, Le Mercier, Philippe, Lieberherr, Damien, Moinat-Stuenkel, Ann Madelaine, Pedruzzi, Ivo, Rivoire, Catherine, Roechert, Bernd, Schneider, Michel, Tognolli, Michael, Bougueleret, Lydie, and Bairoch, Amos Marc

Subjects
0303 health sciences, Model organism database, biology, Protein database, Computational biology, DictyBase, biology.organism_classification, General Biochemistry, Genetics and Molecular Biology, Dictyostelium discoideum, World Wide Web, 03 medical and health sciences, Annotation, 0302 clinical medicine, 030220 oncology & carcinogenesis, Original Article, ddc:576, UniProt, General Agricultural and Biological Sciences, Gene, 030304 developmental biology, Information Systems
Abstract

UniProtKB/Swiss-Prot, a curated protein database, and dictyBase, the Model Organism Database for Dictyostelium discoideum, have established a collaboration to improve data sharing. One of the major steps in this effort was the 'Dicty annotation marathon', a week-long exercise with 30 annotators aimed at achieving a major increase in the number of D. discoideum proteins represented in UniProtKB/Swiss-Prot. The marathon led to the annotation of over 1000 D. discoideum proteins in UniProtKB/Swiss-Prot. Concomitantly, there were a large number of updates in dictyBase concerning gene symbols, protein names and gene models. This exercise demonstrates how UniProtKB/Swiss-Prot can work in very close cooperation with model organism databases and how the annotation of proteins can be accelerated through those collaborations.

Published
2009
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16. Managing the life cycle of a portfolio of open data resources at the SIB Swiss Institute of Bioinformatics

Author

Chiara Gabella, Christine Durinx, and Séverine Duvaud

Subjects
Open science, AcademicSubjects/SCI01060, Process (engineering), media_common.quotation_subject, user experience (ux), Review, Bioinformatics, Excellence, Return on investment, research infrastructure, open science, Animals, best-in-class resources, Databases, Protein, Molecular Biology, Ecosystem, media_common, Life Cycle Stages, Computational Biology, Reproducibility of Results, bioinformatics, sustainability, Knowledge sharing, Open data, Identification (information), Portfolio, Business, Information Systems
Abstract

Data resources are essential for the long-term preservation of scientific data and the reproducibility of science. The SIB Swiss Institute of Bioinformatics provides the life science community with a portfolio of openly accessible, high-quality databases and software platforms, which vary from expert-curated knowledgebases, such as UniProtKB/Swiss-Prot (part of the UniProt consortium) and STRING, to online platforms such as SWISS-MODEL and SwissDrugDesign. SIB’s mission is to ensure that these resources are available in the long term, as long as their return on investment and their scientific impact are high. To this end, SIB provides its resources, in addition to stable financial support, with a range of high-quality, innovative services that are, to our knowledge, unique in the field. Through this first-class management framework with central services, such as user-centric consulting activities, legal support, open-science guidance, knowledge sharing and training efforts, SIB supports the promotion of excellence in resource development and operation. This review presents the ecosystem of data resources at SIB; the process used for the identification, evaluation and development of resources; and the support activities that SIB provides. A set of indicators has been put in place to select the resources and establish quality standards, reflecting their multifaceted nature and complexity. Through this paper, the reader will discover how SIB’s leading tools and databases are fostered by the institute, leading them to be best-in-class resources able to tackle the burning matters that society faces from disease outbreaks and cancer to biodiversity and open science.

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