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363 results on '"de Ruiter, J"'

4. The novel Mechanical Ventilator Milano for the COVID-19 pandemic.

Author

Abba, A, Accorsi, C, Agnes, P, Alessi, E, Amaudruz, P, Annovi, A, Desages, F Ardellier, Back, S, Badia, C, Bagger, J, Basile, V, Batignani, G, Bayo, A, Bell, B, Beschi, M, Biagini, D, Bianchi, G, Bicelli, S, Bishop, D, Boccali, T, Bombarda, A, Bonfanti, S, Bonivento, WM, Bouchard, M, Breviario, M, Brice, S, Brown, R, Calvo-Mozota, JM, Camozzi, L, Camozzi, M, Capra, A, Caravati, M, Carlini, M, Ceccanti, A, Celano, B, Cela Ruiz, JM, Charette, C, Cogliati, G, Constable, M, Crippa, C, Croci, G, Cudmore, S, Dahl, CE, Dal Molin, A, Daley, M, Di Guardo, C, D'Avenio, G, Davignon, O, Del Tutto, M, De Ruiter, J, Devoto, A, Diaz Gomez Maqueo, P, Di Francesco, F, Dossi, M, Druszkiewicz, E, Duma, C, Elliott, E, Farina, D, Fernandes, C, Ferroni, F, Finocchiaro, G, Fiorillo, G, Ford, R, Foti, G, Fournier, RD, Franco, D, Fricbergs, C, Gabriele, F, Galbiati, C, Garcia Abia, P, Gargantini, A, Giacomelli, L, Giacomini, F, Giarratana, LS, Gillespie, S, Giorgi, D, Girma, T, Gobui, R, Goeldi, D, Golf, F, Gorel, P, Gorini, G, Gramellini, E, Grosso, G, Guescini, F, Guetre, E, Hackman, G, Hadden, T, Hawkins, W, Hayashi, K, Heavey, A, Hersak, G, Hessey, N, Hockin, G, Hudson, K, Ianni, A, Ienzi, C, Ippolito, V, and James, CC

Subjects
Mathematical Sciences, Physical Sciences, Engineering, Fluids & Plasmas
Abstract

This paper presents the Mechanical Ventilator Milano (MVM), a novel intensive therapy mechanical ventilator designed for rapid, large-scale, low-cost production for the COVID-19 pandemic. Free of moving mechanical parts and requiring only a source of compressed oxygen and medical air to operate, the MVM is designed to support the long-term invasive ventilation often required for COVID-19 patients and operates in pressure-regulated ventilation modes, which minimize the risk of furthering lung trauma. The MVM was extensively tested against ISO standards in the laboratory using a breathing simulator, with good agreement between input and measured breathing parameters and performing correctly in response to fault conditions and stability tests. The MVM has obtained Emergency Use Authorization by U.S. Food and Drug Administration (FDA) for use in healthcare settings during the COVID-19 pandemic and Health Canada Medical Device Authorization for Importation or Sale, under Interim Order for Use in Relation to COVID-19. Following these certifications, mass production is ongoing and distribution is under way in several countries. The MVM was designed, tested, prepared for certification, and mass produced in the space of a few months by a unique collaboration of respiratory healthcare professionals and experimental physicists, working with industrial partners, and is an excellent ventilator candidate for this pandemic anywhere in the world.

Published
2021

6. Multiscale X-ray scattering elucidates activation and deactivation of oxide-derived copper electrocatalysts for CO2 reduction.

Author

de Ruiter, J., Benning, V. R. M., Yang, S., den Hartigh, B. J., Wang, H., Prins, P. T., Dorresteijn, J. M., Janssens, J. C. L., Manna, G., Petukhov, A. V., Weckhuysen, B. M., Rabouw, F. T., and van der Stam, W.

Subjects
PHYSICAL & theoretical chemistry, SMALL-angle scattering, CARBON dioxide reduction, PHASE transitions, ELECTROLYTIC reduction
Abstract

Electrochemical reduction of carbon dioxide (CO2) into sustainable fuels and base chemicals requires precise control over and understanding of activity, selectivity and stability descriptors of the electrocatalyst under operation. Identification of the active phase under working conditions, but also deactivation factors after prolonged operation, are of the utmost importance to further improve electrocatalysts for electrochemical CO2 conversion. Here, we present a multiscale in situ investigation of activation and deactivation pathways of oxide-derived copper electrocatalysts under CO2 reduction conditions. Using well-defined Cu2O octahedra and cubes, in situ X-ray scattering experiments track morphological changes at small scattering angles and phase transformations at wide angles, with millisecond to second time resolution and ensemble-scale statistics. We find that undercoordinated active sites promote CO2 reduction products directly after Cu2O to Cu activation, whereas less active planar surface sites evolve over time. These multiscale insights highlight the dynamic and intimate relationship between electrocatalyst structure, surface-adsorbed molecules, and catalytic performance, and our in situ X-ray scattering methodology serves as an additional tool to elucidate the factors that govern electrocatalyst (de)stabilization. The development of robust materials for electrochemical CO2 conversion requires identification of the activation and deactivation phase after prolonged operation. Here, the authors present a multiscale in situ X-ray scattering methodology to probe the life and death of copper oxide electrocatalysts. [ABSTRACT FROM AUTHOR]

Published
2025
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13. The BIC Model: A Blueprint for the Communicator

Author

de Ruiter, J. P., Enfield, N. J., Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, and Stephanidis, Constantine, editor

Published
2007
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14. Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen

Author

Menden M, Wang D, Mason M, Szalai B, Bulusu K, Guan Y, Yu T, Kang J, Jeon M, Wolfinger R, Nguyen T, Zaslavskiy M, Jang I, Ghazoui Z, Ahsen M, Vogel R, Neto E, Norman T, Tang E, Garnett M, Di Veroli G, Fawell S, Stolovitzky G, Guinney J, Dry J, Saez-Rodriguez J, Abante J, Abecassis B, Aben N, Aghamirzaie D, Aittokallio T, Akhtari F, Al-lazikani B, Alam T, Allam A, Allen C, de Almeida M, Altarawy D, Alves V, Amadoz A, Anchang B, Antolin A, Ash J, Aznar V, Ba-alawi W, Bagheri M, Bajic V, Ball G, Ballester P, Baptista D, Bare C, Bateson M, Bender A, Bertrand D, Wijayawardena B, Boroevich K, Bosdriesz E, Bougouffa S, Bounova G, Brouwer T, Bryant B, Calaza M, Calderone A, Calza S, Capuzzi S, Carbonell-Caballero J, Carlin D, Carter H, Castagnoli L, Celebi R, Cesareni G, Chang H, Chen G, Chen H, Cheng L, Chernomoretz A, Chicco D, Cho K, Cho S, Choi D, Choi J, Choi K, Choi M, De Cock M, Coker E, Cortes-Ciriano I, Cserzo M, Cubuk C, Curtis C, Van Daele D, Dang C, Dijkstra T, Dopazo J, Draghici S, Drosou A, Dumontier M, Ehrhart F, Eid F, ElHefnawi M, Elmarakeby H, van Engelen B, Engin H, de Esch I, Evelo C, Falcao A, Farag S, Fernandez-Lozano C, Fisch K, Flobak A, Fornari C, Foroushani A, Fotso D, Fourches D, Friend S, Frigessi A, Gao F, Gao X, Gerold J, Gestraud P, Ghosh S, Gillberg J, Godoy-Lorite A, Godynyuk L, Godzik A, Goldenberg A, Gomez-Cabrero D, Gonen M, de Graaf C, Gray H, Grechkin M, Guimera R, Guney E, Haibe-Kains B, Han Y, Hase T, He D, He L, Heath L, Hellton K, Helmer-Citterich M, Hidalgo M, Hidru D, Hill S, Hochreiter S, Hong S, Hovig E, Hsueh Y, Hu Z, Huang J, Huang R, Hunyady L, Hwang J, Hwang T, Hwang W, Hwang Y, Isayev O, Walk O, Jack J, Jahandideh S, Ji J, Jo Y, Kamola P, Kanev G, Karacosta L, Karimi M, Kaski S, Kazanov M, Khamis A, Khan S, Kiani N, Kim A, Kim J, Kim K, Kim S, Kim Y, Kirk P, Kitano H, Klambauer G, Knowles D, Ko M, Kohn-Luque A, Kooistra A, Kuenemann M, Kuiper M, Kurz C, Kwon M, van Laarhoven T, Laegreid A, Lederer S, Lee H, Lee J, Lee Y, Leppaho E, Lewis R, Li J, Li L, Liley J, Lim W, Lin C, Liu Y, Lopez Y, Low J, Lysenko A, Machado D, Madhukar N, De Maeyer D, Malpartida A, Mamitsuka H, Marabita F, Marchal K, Marttinen P, Mason D, Mazaheri A, Mehmood A, Mehreen A, Michaut M, Miller R, Mitsopoulos C, Modos D, Van Moerbeke M, Moo K, Motsinger-Reif A, Movva R, Muraru S, Muratov E, Mushthofa M, Nagarajan N, Nakken S, Nath A, Neuvial P, Newton R, Ning Z, De Niz C, Oliva B, Olsen C, Palmeri A, Panesar B, Papadopoulos S, Park J, Park S, Pawitan Y, Peluso D, Pendyala S, Peng J, Perfetto L, Pirro S, Plevritis S, Politi R, Poon H, Porta E, Prellner I, Preuer K, Pujana M, Ramnarine R, Reid J, Reyal F, Richardson S, Ricketts C, Rieswijk L, Rocha M, Rodriguez-Gonzalvez C, Roell K, Rotroff D, de Ruiter J, Rukawa P, Sadacca B, Safikhani Z, Safitri F, Sales-Pardo M, Sauer S, Schlichting M, Seoane J, Serra J, Shang M, Sharma A, Sharma H, Shen Y, Shiga M, Shin M, Shkedy Z, Shopsowitz K, Sinai S, Skola D, Smirnov P, Soerensen I, Soerensen P, Song J, Song S, Soufan O, Spitzmueller A, Steipe B, Suphavilai C, Tamayo S, Tamborero D, Tang J, Tanoli Z, Tarres-Deulofeu M, Tegner J, Thommesen L, Tonekaboni S, Tran H, De Troyer E, Truong A, Tsunoda T, Turu G, Tzeng G, Verbeke L, Videla S, Vis D, Voronkov A, Votis K, Wang A, Wang H, Wang P, Wang S, Wang W, Wang X, Wennerberg K, Wernisch L, Wessels L, van Westen G, Westerman B, White S, Willighagen E, Wurdinger T, Xie L, Xie S, Xu H, Yadav B, Yau C, Yeerna H, Yin J, Yu M, Yun S, Zakharov A, Zamichos A, Zanin M, Zeng L, Zenil H, Zhang F, Zhang P, Zhang W, Zhao H, Zhao L, Zheng W, Zoufir A, Zucknick M, AstraZeneca-Sanger Drug Combinatio, Ege Üniversitesi, Gönen, Mehmet (ORCID 0000-0002-2483-075X & YÖK ID 237468), Menden, Michael P., Wang, Dennis, Mason, Mike J., Szalai, Bence, Bulusu, Krishna C., Guan, Yuanfang, Yu, Thomas, Kang, Jaewoo, Jeon, Minji, Wolfinger, Russ, Nguyen, Tin, Zaslavskiy, Mikhail, Jang, In Sock, Ghazoui, Zara, Ahsen, Mehmet Eren, Vogel, Robert, Neto, Elias Chaibub, Norman, Thea, Tang, Eric K. Y., Garnett, Mathew J., Di Veroli, Giovanni Y., Fawell, Stephen, Stolovitzky, Gustavo, Guinney, Justin, Dry, Jonathan R., Saez-Rodriguez, Julio, Abante, Jordi, Abecassis, Barbara Schmitz, Aben, Nanne, Aghamirzaie, Delasa, Aittokallio, Tero, Akhtari, Farida S., Al-lazikani, Bissan, Alam, Tanvir, Allam, Amin, Allen, Chad, de Almeida, Mariana Pelicano, Altarawy, Doaa, Alves, Vinicius, Amadoz, Alicia, Anchang, Benedict, Antolin, Albert A., Ash, Jeremy R., Romeo Aznar, Victoria, Ba-alawi, Wail, Bagheri, Moeen, Bajic, Vladimir, Ball, Gordon, Ballester, Pedro J., Baptista, Delora, Bare, Christopher, Bateson, Mathilde, Bender, Andreas, Bertrand, Denis, Wijayawardena, Bhagya, Boroevich, Keith A., Bosdriesz, Evert, Bougouffa, Salim, Bounova, Gergana, Brouwer, Thomas, Bryant, Barbara, Calaza, Manuel, Calderone, Alberto, Calza, Stefano, Capuzzi, Stephen, Carbonell-Caballero, Jose, Carlin, Daniel, Carter, Hannah, Castagnoli, Luisa, Celebi, Remzi, Cesareni, Gianni, Chang, Hyeokyoon, Chen, Guocai, Chen, Haoran, Chen, Huiyuan, Cheng, Lijun, Chernomoretz, Ariel, Chicco, Davide, Cho, Kwang-Hyun, Cho, Sunghwan, Choi, Daeseon, Choi, Jaejoon, Choi, Kwanghun, Choi, Minsoo, De Cock, Martine, Coker, Elizabeth, Cortes-Ciriano, Isidro, Cserzo, Miklos, Cubuk, Cankut, Curtis, Christina, Van Daele, Dries, Dang, Cuong C., Dijkstra, Tjeerd, Dopazo, Joaquin, Draghici, Sorin, Drosou, Anastasios, Dumontier, Michel, Ehrhart, Friederike, Eid, Fatma-Elzahraa, ElHefnawi, Mahmoud, Elmarakeby, Haitham, van Engelen, Bo, Engin, Hatice Billur, de Esch, Iwan, Evelo, Chris, Falcao, Andre O., Farag, Sherif, Fernandez-Lozano, Carlos, Fisch, Kathleen, Flobak, Asmund, Fornari, Chiara, Foroushani, Amir B. K., Fotso, Donatien Chedom, Fourches, Denis, Friend, Stephen, Frigessi, Arnoldo, Gao, Feng, Gao, Xiaoting, Gerold, Jeffrey M., Gestraud, Pierre, Ghosh, Samik, Gillberg, Jussi, Godoy-Lorite, Antonia, Godynyuk, Lizzy, Godzik, Adam, Goldenberg, Anna, Gomez-Cabrero, David, de Graaf, Chris, Gray, Harry, Grechkin, Maxim, Guimera, Roger, Guney, Emre, Haibe-Kains, Benjamin, Han, Younghyun, Hase, Takeshi, He, Di, He, Liye, Heath, Lenwood S., Hellton, Kristoffer H., Helmer-Citterich, Manuela, Hidalgo, Marta R., Hidru, Daniel, Hill, Steven M., Hochreiter, Sepp, Hong, Seungpyo, Hovig, Eivind, Hsueh, Ya-Chih, Hu, Zhiyuan, Huang, Justin K., Huang, R. Stephanie, Hunyady, Laszlo, Hwang, Jinseub, Hwang, Tae Hyun, Hwang, Woochang, Hwang, Yongdeuk, Isayev, Olexandr, Walk, Oliver Bear Don't, Jack, John, Jahandideh, Samad, Ji, Jiadong, Jo, Yousang, Kamola, Piotr J., Kanev, Georgi K., Karacosta, Loukia, Karimi, Mostafa, Kaski, Samuel, Kazanov, Marat, Khamis, Abdullah M., Khan, Suleiman Ali, Kiani, Narsis A., Kim, Allen, Kim, Jinhan, Kim, Juntae, Kim, Kiseong, Kim, Kyung, Kim, Sunkyu, Kim, Yongsoo, Kim, Yunseong, Kirk, Paul D. W., Kitano, Hiroaki, Klambauer, Gunter, Knowles, David, Ko, Melissa, Kohn-Luque, Alvaro, Kooistra, Albert J., Kuenemann, Melaine A., Kuiper, Martin, Kurz, Christoph, Kwon, Mijin, van Laarhoven, Twan, Laegreid, Astrid, Lederer, Simone, Lee, Heewon, Lee, Jeon, Lee, Yun Woo, Leppaho, Eemeli, Lewis, Richard, Li, Jing, Li, Lang, Liley, James, Lim, Weng Khong, Lin, Chieh, Liu, Yiyi, Lopez, Yosvany, Low, Joshua, Lysenko, Artem, Machado, Daniel, Madhukar, Neel, De Maeyer, Dries, Malpartida, Ana Belen, Mamitsuka, Hiroshi, Marabita, Francesco, Marchal, Kathleen, Marttinen, Pekka, Mason, Daniel, Mazaheri, Alireza, Mehmood, Arfa, Mehreen, Ali, Michaut, Magali, Miller, Ryan A., Mitsopoulos, Costas, Modos, Dezso, Van Moerbeke, Marijke, Moo, Keagan, Motsinger-Reif, Alison, Movva, Rajiv, Muraru, Sebastian, Muratov, Eugene, Mushthofa, Mushthofa, Nagarajan, Niranjan, Nakken, Sigve, Nath, Aritro, Neuvial, Pierre, Newton, Richard, Ning, Zheng, De Niz, Carlos, Oliva, Baldo, Olsen, Catharina, Palmeri, Antonio, Panesar, Bhawan, Papadopoulos, Stavros, Park, Jaesub, Park, Seonyeong, Park, Sungjoon, Pawitan, Yudi, Peluso, Daniele, Pendyala, Sriram, Peng, Jian, Perfetto, Livia, Pirro, Stefano, Plevritis, Sylvia, Politi, Regina, Poon, Hoifung, Porta, Eduard, Prellner, Isak, Preuer, Kristina, Angel Pujana, Miguel, Ramnarine, Ricardo, Reid, John E., Reyal, Fabien, Richardson, Sylvia, Ricketts, Camir, Rieswijk, Linda, Rocha, Miguel, Rodriguez-Gonzalvez, Carmen, Roell, Kyle, Rotroff, Daniel, de Ruiter, Julian R., Rukawa, Ploy, Sadacca, Benjamin, Safikhani, Zhaleh, Safitri, Fita, Sales-Pardo, Marta, Sauer, Sebastian, Schlichting, Moritz, Seoane, Jose A., Serra, Jordi, Shang, Ming-Mei, Sharma, Alok, Sharma, Hari, Shen, Yang, Shiga, Motoki, Shin, Moonshik, Shkedy, Ziv, Shopsowitz, Kevin, Sinai, Sam, Skola, Dylan, Smirnov, Petr, Soerensen, Izel Fourie, Soerensen, Peter, Song, Je-Hoon, Song, Sang Ok, Soufan, Othman, Spitzmueller, Andreas, Steipe, Boris, Suphavilai, Chayaporn, Tamayo, Sergio Pulido, Tamborero, David, Tang, Jing, Tanoli, Zia-ur-Rehman, Tarres-Deulofeu, Marc, Tegner, Jesper, Thommesen, Liv, Tonekaboni, Seyed Ali Madani, Tran, Hong, De Troyer, Ewoud, Truong, Amy, Tsunoda, Tatsuhiko, Turu, Gabor, Tzeng, Guang-Yo, Verbeke, Lieven, Videla, Santiago, Vis, Daniel, Voronkov, Andrey, Votis, Konstantinos, Wang, Ashley, Wang, Hong-Qiang Horace, Wang, Po-Wei, Wang, Sheng, Wang, Wei, Wang, Xiaochen, Wang, Xin, Wennerberg, Krister, Wernisch, Lorenz, Wessels, Lodewyk, van Westen, Gerard J. P., Westerman, Bart A., White, Simon Richard, Willighagen, Egon, Wurdinger, Tom, Xie, Lei, Xie, Shuilian, Xu, Hua, Yadav, Bhagwan, Yau, Christopher, Yeerna, Huwate, Yin, Jia Wei, Yu, Michael, Yu, MinHwan, Yun, So Jeong, Zakharov, Alexey, Zamichos, Alexandros, Zanin, Massimiliano, Zeng, Li, Zenil, Hector, Zhang, Frederick, Zhang, Pengyue, Zhang, Wei, Zhao, Hongyu, Zhao, Lan, Zheng, Wenjin, Zoufir, Azedine, Zucknick, Manuela, College of Engineering, Department of Industrial Engineering, Institute of Data Science, RS: FSE DACS IDS, Bioinformatica, RS: NUTRIM - R1 - Obesity, diabetes and cardiovascular health, RS: FHML MaCSBio, Promovendi NTM, Tero Aittokallio / Principal Investigator, Bioinformatics, Institute for Molecular Medicine Finland, Hu, Z, Fotso, DC, Menden, M, Wang, D, Mason, M, Szalai, B, Bulusu, K, Guan, Y, Yu, T, Kang, J, Jeon, M, Wolfinger, R, Nguyen, T, Zaslavskiy, M, Abante, J, Abecassis, B, Aben, N, Aghamirzaie, D, Aittokallio, T, Akhtari, F, Al-lazikani, B, Alam, T, Allam, A, Allen, C, de Almeida, M, Altarawy, D, Alves, V, Amadoz, A, Anchang, B, Antolin, A, Ash, J, Aznar, V, Ba-alawi, W, Bagheri, M, Bajic, V, Ball, G, Ballester, P, Baptista, D, Bare, C, Bateson, M, Bender, A, Bertrand, D, Wijayawardena, B, Boroevich, K, Bosdriesz, E, Bougouffa, S, Bounova, G, Brouwer, T, Bryant, B, Calaza, M, Calderone, A, Calza, S, Capuzzi, S, Carbonell-Caballero, J, Carlin, D, Carter, H, Castagnoli, L, Celebi, R, Cesareni, G, Chang, H, Chen, G, Chen, H, Cheng, L, Chernomoretz, A, Chicco, D, Cho, K, Cho, S, Choi, D, Choi, J, Choi, K, Choi, M, Cock, M, Coker, E, Cortes-Ciriano, I, Cserzo, M, Cubuk, C, Curtis, C, Daele, D, Dang, C, Dijkstra, T, Dopazo, J, Draghici, S, Drosou, A, Dumontier, M, Ehrhart, F, Eid, F, Elhefnawi, M, Elmarakeby, H, van Engelen, B, Engin, H, de Esch, I, Evelo, C, Falcao, A, Farag, S, Fernandez-Lozano, C, Fisch, K, Flobak, A, Fornari, C, Foroushani, A, Fotso, D, Fourches, D, Friend, S, Frigessi, A, Gao, F, Gao, X, Gerold, J, Gestraud, P, Ghosh, S, Gillberg, J, Godoy-Lorite, A, Godynyuk, L, Godzik, A, Goldenberg, A, Gomez-Cabrero, D, Gonen, M, de Graaf, C, Gray, H, Grechkin, M, Guimera, R, Guney, E, Haibe-Kains, B, Han, Y, Hase, T, He, D, He, L, Heath, L, Hellton, K, Helmer-Citterich, M, Hidalgo, M, Hidru, D, Hill, S, Hochreiter, S, Hong, S, Hovig, E, Hsueh, Y, Huang, J, Huang, R, Hunyady, L, Hwang, J, Hwang, T, Hwang, W, Hwang, Y, Isayev, O, Don't Walk, O, Jack, J, Jahandideh, S, Ji, J, Jo, Y, Kamola, P, Kanev, G, Karacosta, L, Karimi, M, Kaski, S, Kazanov, M, Khamis, A, Khan, S, Kiani, N, Kim, A, Kim, J, Kim, K, Kim, S, Kim, Y, Kirk, P, Kitano, H, Klambauer, G, Knowles, D, Ko, M, Kohn-Luque, A, Kooistra, A, Kuenemann, M, Kuiper, M, Kurz, C, Kwon, M, van Laarhoven, T, Laegreid, A, Lederer, S, Lee, H, Lee, J, Lee, Y, Lepp_aho, E, Lewis, R, Li, J, Li, L, Liley, J, Lim, W, Lin, C, Liu, Y, Lopez, Y, Low, J, Lysenko, A, Machado, D, Madhukar, N, Maeyer, D, Malpartida, A, Mamitsuka, H, Marabita, F, Marchal, K, Marttinen, P, Mason, D, Mazaheri, A, Mehmood, A, Mehreen, A, Michaut, M, Miller, R, Mitsopoulos, C, Modos, D, Moerbeke, M, Moo, K, Motsinger-Reif, A, Movva, R, Muraru, S, Muratov, E, Mushthofa, M, Nagarajan, N, Nakken, S, Nath, A, Neuvial, P, Newton, R, Ning, Z, Niz, C, Oliva, B, Olsen, C, Palmeri, A, Panesar, B, Papadopoulos, S, Park, J, Park, S, Pawitan, Y, Peluso, D, Pendyala, S, Peng, J, Perfetto, L, Pirro, S, Plevritis, S, Politi, R, Poon, H, Porta, E, Prellner, I, Preuer, K, Pujana, M, Ramnarine, R, Reid, J, Reyal, F, Richardson, S, Ricketts, C, Rieswijk, L, Rocha, M, Rodriguez-Gonzalvez, C, Roell, K, Rotroff, D, de Ruiter, J, Rukawa, P, Sadacca, B, Safikhani, Z, Safitri, F, Sales-Pardo, M, Sauer, S, Schlichting, M, Seoane, J, Serra, J, Shang, M, Sharma, A, Sharma, H, Shen, Y, Shiga, M, Shin, M, Shkedy, Z, Shopsowitz, K, Sinai, S, Skola, D, Smirnov, P, Soerensen, I, Soerensen, P, Song, J, Song, S, Soufan, O, Spitzmueller, A, Steipe, B, Suphavilai, C, Tamayo, S, Tamborero, D, Tang, J, Tanoli, Z, Tarres-Deulofeu, M, Tegner, J, Thommesen, L, Tonekaboni, S, Tran, H, Troyer, E, Truong, A, Tsunoda, T, Turu, G, Tzeng, G, Verbeke, L, Videla, S, Vis, D, Voronkov, A, Votis, K, Wang, A, Wang, H, Wang, P, Wang, S, Wang, W, Wang, X, Wennerberg, K, Wernisch, L, Wessels, L, van Westen, G, Westerman, B, White, S, Willighagen, E, Wurdinger, T, Xie, L, Xie, S, Xu, H, Yadav, B, Yau, C, Yeerna, H, Yin, J, Yu, M, Yun, S, Zakharov, A, Zamichos, A, Zanin, M, Zeng, L, Zenil, H, Zhang, F, Zhang, P, Zhang, W, Zhao, H, Zhao, L, Zheng, W, Zoufir, A, Zucknick, M, Jang, I, Ghazoui, Z, Ahsen, M, Vogel, R, Neto, E, Norman, T, Tang, E, Garnett, M, Veroli, G, Fawell, S, Stolovitzky, G, Guinney, J, Dry, J, Saez-Rodriguez, J, Menden, Michael P. [0000-0003-0267-5792], Mason, Mike J. [0000-0002-5652-7739], Yu, Thomas [0000-0002-5841-0198], Kang, Jaewoo [0000-0001-6798-9106], Nguyen, Tin [0000-0001-8001-9470], Ahsen, Mehmet Eren [0000-0002-4907-0427], Stolovitzky, Gustavo [0000-0002-9618-2819], Guinney, Justin [0000-0003-1477-1888], Saez-Rodriguez, Julio [0000-0002-8552-8976], Apollo - University of Cambridge Repository, Menden, Michael P [0000-0003-0267-5792], Mason, Mike J [0000-0002-5652-7739], Pathology, CCA - Cancer biology and immunology, Medical oncology laboratory, Neurosurgery, Chemistry and Pharmaceutical Sciences, AIMMS, Medicinal chemistry, Universidade do Minho, Department of Computer Science, Professorship Marttinen P., Aalto-yliopisto, and Aalto University

Subjects
Drug Resistance, 02 engineering and technology, 13, PATHWAY, Antineoplastic Combined Chemotherapy Protocols, Molecular Targeted Therapy, Càncer, lcsh:Science, media_common, Cancer, Tumor, Settore BIO/18, Settore BIO/11, Drug combinations, High-throughput screening, Drug Synergism, purl.org/becyt/ford/1.2 [https], Genomics, Machine Learning, predictions, 3. Good health, ddc, Technologie de l'environnement, contrôle de la pollution, Benchmarking, 5.1 Pharmaceuticals, Cancer treatment, Farmacogenètica, Science & Technology - Other Topics, Development of treatments and therapeutic interventions, 0210 nano-technology, Human, Drug, media_common.quotation_subject, Science, 49/23, ADAM17 Protein, General Biochemistry, Genetics and Molecular Biology, 03 medical and health sciences, SDG 3 - Good Health and Well-being, RESOURCE, Machine learning, Genetics, Chimie, Humans, BREAST-CANCER, CELL, 49/98, Science & Technology, Antineoplastic Combined Chemotherapy Protocol, 45, MUTATIONS, Computational Biology, Androgen receptor, Breast-cancer, Gene, Cell, Inhibition, Resistance, Pathway, Mutations, Landscape, Resource, 631/114/1305, medicine.disease, Drug synergy, 49, 030104 developmental biology, Pharmacogenetics, Mutation, Ciências Médicas::Biotecnologia Médica, lcsh:Q, 631/154/1435/2163, Biomarkers, RESISTANCE, 0301 basic medicine, ING-INF/06 - BIOINGEGNERIA ELETTRONICA E INFORMATICA, Statistical methods, Computer science, General Physics and Astronomy, Datasets as Topic, Drug resistance, purl.org/becyt/ford/1 [https], Phosphatidylinositol 3-Kinases, Biotecnologia Médica [Ciências Médicas], Neoplasms, Science and technology, Phosphoinositide-3 Kinase Inhibitors, Multidisciplinary, Biomarkers, Tumor, Cell Line, Tumor, Drug Antagonism, Drug Resistance, Neoplasm, Treatment Outcome, Pharmacogenetic, article, ANDROGEN RECEPTOR, 49/39, 631/114/2415, 021001 nanoscience & nanotechnology, 692/4028/67, Multidisciplinary Sciences, 317 Pharmacy, Patient Safety, Systems biology, 3122 Cancers, INHIBITION, Computational biology, Cell Line, medicine, LANDSCAPE, Physique, Human Genome, Data Science, General Chemistry, AstraZeneca-Sanger Drug Combination DREAM Consortium, Astronomie, GENE, Good Health and Well Being, Pharmacogenomics, Genomic, Neoplasm, 631/553, Phosphatidylinositol 3-Kinase
Abstract

PubMed: 31209238, The effectiveness of most cancer targeted therapies is short-lived. Tumors often develop resistance that might be overcome with drug combinations. However, the number of possible combinations is vast, necessitating data-driven approaches to find optimal patient-specific treatments. Here we report AstraZeneca’s large drug combination dataset, consisting of 11,576 experiments from 910 combinations across 85 molecularly characterized cancer cell lines, and results of a DREAM Challenge to evaluate computational strategies for predicting synergistic drug pairs and biomarkers. 160 teams participated to provide a comprehensive methodological development and benchmarking. Winning methods incorporate prior knowledge of drug-target interactions. Synergy is predicted with an accuracy matching biological replicates for >60% of combinations. However, 20% of drug combinations are poorly predicted by all methods. Genomic rationale for synergy predictions are identified, including ADAM17 inhibitor antagonism when combined with PIK3CB/D inhibition contrasting to synergy when combined with other PI3K-pathway inhibitors in PIK3CA mutant cells. © 2019, The Author(s)., National Institute for Health Research, NIHR Wellcome Trust, WT: 102696, 206194 Magyar Tudományos Akadémia, MTA Bayer 668858 PrECISE AstraZeneca, We thank the Genomics of Drug Sensitivity in Cancer and COSMIC teams at the Wellcome Trust Sanger Institute for help with the preparation of the molecular data, Denes Turei for help with Omnipath, and Katjusa Koler for help with matching drug names across combination screens. We thank AstraZeneca for funding and provision of data to the DREAM Consortium to run the challenge, and funding from the European Union Horizon 2020 research (under grant agreement No 668858 PrECISE to J.S.R.), the Joint Research Center for Computational Biomedicine (which is partially funded by Bayer AG) to J.S.R., National Institute for Health Research (NIHR) Sheffield Biomedical Research Center, Premium Postdoctoral Fellowship Program of the Hungarian Academy of Sciences. M.G lab is supported by Wellcome Trust (102696 and 206194)., Competing interests: K.C.B., Z.G., G.Y.D., E.K.Y.T., S.F., and J.R.D. are AstraZeneca employees. K.C.B., Z.G., E.K.Y.T., S.F., and J.R.D. are AstraZeneca shareholders. Y.G. receives personal compensation from Eli Lilly and Company, is a shareholder of Cleerly, Inc., and Ann Arbor Algorithms, Inc. M.G. receives research funding from AstraZeneca and has performed consultancy for Sanofi. The remaining authors declare no competing interests.

Published
2019
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22. Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen

Author

Menden, M, Wang, D, Mason, M, Szalai, B, Bulusu, K, Guan, Y, Yu, T, Kang, J, Jeon, M, Wolfinger, R, Nguyen, T, Zaslavskiy, M, Abante, J, Abecassis, B, Aben, N, Aghamirzaie, D, Aittokallio, T, Akhtari, F, Al-lazikani, B, Alam, T, Allam, A, Allen, C, de Almeida, M, Altarawy, D, Alves, V, Amadoz, A, Anchang, B, Antolin, A, Ash, J, Aznar, V, Ba-alawi, W, Bagheri, M, Bajic, V, Ball, G, Ballester, P, Baptista, D, Bare, C, Bateson, M, Bender, A, Bertrand, D, Wijayawardena, B, Boroevich, K, Bosdriesz, E, Bougouffa, S, Bounova, G, Brouwer, T, Bryant, B, Calaza, M, Calderone, A, Calza, S, Capuzzi, S, Carbonell-Caballero, J, Carlin, D, Carter, H, Castagnoli, L, Celebi, R, Cesareni, G, Chang, H, Chen, G, Chen, H, Cheng, L, Chernomoretz, A, Chicco, D, Cho, K, Cho, S, Choi, D, Choi, J, Choi, K, Choi, M, Cock, M, Coker, E, Cortes-Ciriano, I, Cserzo, M, Cubuk, C, Curtis, C, Daele, D, Dang, C, Dijkstra, T, Dopazo, J, Draghici, S, Drosou, A, Dumontier, M, Ehrhart, F, Eid, F, Elhefnawi, M, Elmarakeby, H, van Engelen, B, Engin, H, de Esch, I, Evelo, C, Falcao, A, Farag, S, Fernandez-Lozano, C, Fisch, K, Flobak, A, Fornari, C, Foroushani, A, Fotso, D, Fourches, D, Friend, S, Frigessi, A, Gao, F, Gao, X, Gerold, J, Gestraud, P, Ghosh, S, Gillberg, J, Godoy-Lorite, A, Godynyuk, L, Godzik, A, Goldenberg, A, Gomez-Cabrero, D, Gonen, M, de Graaf, C, Gray, H, Grechkin, M, Guimera, R, Guney, E, Haibe-Kains, B, Han, Y, Hase, T, He, D, He, L, Heath, L, Hellton, K, Helmer-Citterich, M, Hidalgo, M, Hidru, D, Hill, S, Hochreiter, S, Hong, S, Hovig, E, Hsueh, Y, Hu, Z, Huang, J, Huang, R, Hunyady, L, Hwang, J, Hwang, T, Hwang, W, Hwang, Y, Isayev, O, Don't Walk, O, Jack, J, Jahandideh, S, Ji, J, Jo, Y, Kamola, P, Kanev, G, Karacosta, L, Karimi, M, Kaski, S, Kazanov, M, Khamis, A, Khan, S, Kiani, N, Kim, A, Kim, J, Kim, K, Kim, S, Kim, Y, Kirk, P, Kitano, H, Klambauer, G, Knowles, D, Ko, M, Kohn-Luque, A, Kooistra, A, Kuenemann, M, Kuiper, M, Kurz, C, Kwon, M, van Laarhoven, T, Laegreid, A, Lederer, S, Lee, H, Lee, J, Lee, Y, Lepp_aho, E, Lewis, R, Li, J, Li, L, Liley, J, Lim, W, Lin, C, Liu, Y, Lopez, Y, Low, J, Lysenko, A, Machado, D, Madhukar, N, Maeyer, D, Malpartida, A, Mamitsuka, H, Marabita, F, Marchal, K, Marttinen, P, Mason, D, Mazaheri, A, Mehmood, A, Mehreen, A, Michaut, M, Miller, R, Mitsopoulos, C, Modos, D, Moerbeke, M, Moo, K, Motsinger-Reif, A, Movva, R, Muraru, S, Muratov, E, Mushthofa, M, Nagarajan, N, Nakken, S, Nath, A, Neuvial, P, Newton, R, Ning, Z, Niz, C, Oliva, B, Olsen, C, Palmeri, A, Panesar, B, Papadopoulos, S, Park, J, Park, S, Pawitan, Y, Peluso, D, Pendyala, S, Peng, J, Perfetto, L, Pirro, S, Plevritis, S, Politi, R, Poon, H, Porta, E, Prellner, I, Preuer, K, Pujana, M, Ramnarine, R, Reid, J, Reyal, F, Richardson, S, Ricketts, C, Rieswijk, L, Rocha, M, Rodriguez-Gonzalvez, C, Roell, K, Rotroff, D, de Ruiter, J, Rukawa, P, Sadacca, B, Safikhani, Z, Safitri, F, Sales-Pardo, M, Sauer, S, Schlichting, M, Seoane, J, Serra, J, Shang, M, Sharma, A, Sharma, H, Shen, Y, Shiga, M, Shin, M, Shkedy, Z, Shopsowitz, K, Sinai, S, Skola, D, Smirnov, P, Soerensen, I, Soerensen, P, Song, J, Song, S, Soufan, O, Spitzmueller, A, Steipe, B, Suphavilai, C, Tamayo, S, Tamborero, D, Tang, J, Tanoli, Z, Tarres-Deulofeu, M, Tegner, J, Thommesen, L, Tonekaboni, S, Tran, H, Troyer, E, Truong, A, Tsunoda, T, Turu, G, Tzeng, G, Verbeke, L, Videla, S, Vis, D, Voronkov, A, Votis, K, Wang, A, Wang, H, Wang, P, Wang, S, Wang, W, Wang, X, Wennerberg, K, Wernisch, L, Wessels, L, van Westen, G, Westerman, B, White, S, Willighagen, E, Wurdinger, T, Xie, L, Xie, S, Xu, H, Yadav, B, Yau, C, Yeerna, H, Yin, J, Yu, M, Yun, S, Zakharov, A, Zamichos, A, Zanin, M, Zeng, L, Zenil, H, Zhang, F, Zhang, P, Zhang, W, Zhao, H, Zhao, L, Zheng, W, Zoufir, A, Zucknick, M, Jang, I, Ghazoui, Z, Ahsen, M, Vogel, R, Neto, E, Norman, T, Tang, E, Garnett, M, Veroli, G, Fawell, S, Stolovitzky, G, Guinney, J, Dry, J, Saez-Rodriguez, J, Menden M. P., Wang D., Mason M. J., Szalai B., Bulusu K. C., Guan Y., Yu T., Kang J., Jeon M., Wolfinger R., Nguyen T., Zaslavskiy M., Abante J., Abecassis B. S., Aben N., Aghamirzaie D., Aittokallio T., Akhtari F. S., Al-lazikani B., Alam T., Allam A., Allen C., de Almeida M. P., Altarawy D., Alves V., Amadoz A., Anchang B., Antolin A. A., Ash J. R., Aznar V. R., Ba-alawi W., Bagheri M., Bajic V., Ball G., Ballester P. J., Baptista D., Bare C., Bateson M., Bender A., Bertrand D., Wijayawardena B., Boroevich K. A., Bosdriesz E., Bougouffa S., Bounova G., Brouwer T., Bryant B., Calaza M., Calderone A., Calza S., Capuzzi S., Carbonell-Caballero J., Carlin D., Carter H., Castagnoli L., Celebi R., Cesareni G., Chang H., Chen G., Chen H., Cheng L., Chernomoretz A., Chicco D., Cho K. -H., Cho S., Choi D., Choi J., Choi K., Choi M., Cock M. D., Coker E., Cortes-Ciriano I., Cserzo M., Cubuk C., Curtis C., Daele D. V., Dang C. C., Dijkstra T., Dopazo J., Draghici S., Drosou A., Dumontier M., Ehrhart F., Eid F. -E., ElHefnawi M., Elmarakeby H., van Engelen B., Engin H. B., de Esch I., Evelo C., Falcao A. O., Farag S., Fernandez-Lozano C., Fisch K., Flobak A., Fornari C., Foroushani A. B. K., Fotso D. C., Fourches D., Friend S., Frigessi A., Gao F., Gao X., Gerold J. M., Gestraud P., Ghosh S., Gillberg J., Godoy-Lorite A., Godynyuk L., Godzik A., Goldenberg A., Gomez-Cabrero D., Gonen M., de Graaf C., Gray H., Grechkin M., Guimera R., Guney E., Haibe-Kains B., Han Y., Hase T., He D., He L., Heath L. S., Hellton K. H., Helmer-Citterich M., Hidalgo M. R., Hidru D., Hill S. M., Hochreiter S., Hong S., Hovig E., Hsueh Y. -C., Hu Z., Huang J. K., Huang R. S., Hunyady L., Hwang J., Hwang T. H., Hwang W., Hwang Y., Isayev O., Don't Walk O. B., Jack J., Jahandideh S., Ji J., Jo Y., Kamola P. J., Kanev G. K., Karacosta L., Karimi M., Kaski S., Kazanov M., Khamis A. M., Khan S. A., Kiani N. A., Kim A., Kim J., Kim K., Kim S., Kim Y., Kirk P. D. W., Kitano H., Klambauer G., Knowles D., Ko M., Kohn-Luque A., Kooistra A. J., Kuenemann M. A., Kuiper M., Kurz C., Kwon M., van Laarhoven T., Laegreid A., Lederer S., Lee H., Lee J., Lee Y. W., Lepp_aho E., Lewis R., Li J., Li L., Liley J., Lim W. K., Lin C., Liu Y., Lopez Y., Low J., Lysenko A., Machado D., Madhukar N., Maeyer D. D., Malpartida A. B., Mamitsuka H., Marabita F., Marchal K., Marttinen P., Mason D., Mazaheri A., Mehmood A., Mehreen A., Michaut M., Miller R. A., Mitsopoulos C., Modos D., Moerbeke M. V., Moo K., Motsinger-Reif A., Movva R., Muraru S., Muratov E., Mushthofa M., Nagarajan N., Nakken S., Nath A., Neuvial P., Newton R., Ning Z., Niz C. D., Oliva B., Olsen C., Palmeri A., Panesar B., Papadopoulos S., Park J., Park S., Pawitan Y., Peluso D., Pendyala S., Peng J., Perfetto L., Pirro S., Plevritis S., Politi R., Poon H., Porta E., Prellner I., Preuer K., Pujana M. A., Ramnarine R., Reid J. E., Reyal F., Richardson S., Ricketts C., Rieswijk L., Rocha M., Rodriguez-Gonzalvez C., Roell K., Rotroff D., de Ruiter J. R., Rukawa P., Sadacca B., Safikhani Z., Safitri F., Sales-Pardo M., Sauer S., Schlichting M., Seoane J. A., Serra J., Shang M. -M., Sharma A., Sharma H., Shen Y., Shiga M., Shin M., Shkedy Z., Shopsowitz K., Sinai S., Skola D., Smirnov P., Soerensen I. F., Soerensen P., Song J. -H., Song S. O., Soufan O., Spitzmueller A., Steipe B., Suphavilai C., Tamayo S. P., Tamborero D., Tang J., Tanoli Z. -U. -R., Tarres-Deulofeu M., Tegner J., Thommesen L., Tonekaboni S. A. M., Tran H., Troyer E. D., Truong A., Tsunoda T., Turu G., Tzeng G. -Y., Verbeke L., Videla S., Vis D., Voronkov A., Votis K., Wang A., Wang H. -Q. H., Wang P. -W., Wang S., Wang W., Wang X., Wennerberg K., Wernisch L., Wessels L., van Westen G. J. P., Westerman B. A., White S. R., Willighagen E., Wurdinger T., Xie L., Xie S., Xu H., Yadav B., Yau C., Yeerna H., Yin J. W., Yu M., Yu M. H., Yun S. J., Zakharov A., Zamichos A., Zanin M., Zeng L., Zenil H., Zhang F., Zhang P., Zhang W., Zhao H., Zhao L., Zheng W., Zoufir A., Zucknick M., Jang I. S., Ghazoui Z., Ahsen M. E., Vogel R., Neto E. C., Norman T., Tang E. K. Y., Garnett M. J., Veroli G. Y. D., Fawell S., Stolovitzky G., Guinney J., Dry J. R., Saez-Rodriguez J., Menden, M, Wang, D, Mason, M, Szalai, B, Bulusu, K, Guan, Y, Yu, T, Kang, J, Jeon, M, Wolfinger, R, Nguyen, T, Zaslavskiy, M, Abante, J, Abecassis, B, Aben, N, Aghamirzaie, D, Aittokallio, T, Akhtari, F, Al-lazikani, B, Alam, T, Allam, A, Allen, C, de Almeida, M, Altarawy, D, Alves, V, Amadoz, A, Anchang, B, Antolin, A, Ash, J, Aznar, V, Ba-alawi, W, Bagheri, M, Bajic, V, Ball, G, Ballester, P, Baptista, D, Bare, C, Bateson, M, Bender, A, Bertrand, D, Wijayawardena, B, Boroevich, K, Bosdriesz, E, Bougouffa, S, Bounova, G, Brouwer, T, Bryant, B, Calaza, M, Calderone, A, Calza, S, Capuzzi, S, Carbonell-Caballero, J, Carlin, D, Carter, H, Castagnoli, L, Celebi, R, Cesareni, G, Chang, H, Chen, G, Chen, H, Cheng, L, Chernomoretz, A, Chicco, D, Cho, K, Cho, S, Choi, D, Choi, J, Choi, K, Choi, M, Cock, M, Coker, E, Cortes-Ciriano, I, Cserzo, M, Cubuk, C, Curtis, C, Daele, D, Dang, C, Dijkstra, T, Dopazo, J, Draghici, S, Drosou, A, Dumontier, M, Ehrhart, F, Eid, F, Elhefnawi, M, Elmarakeby, H, van Engelen, B, Engin, H, de Esch, I, Evelo, C, Falcao, A, Farag, S, Fernandez-Lozano, C, Fisch, K, Flobak, A, Fornari, C, Foroushani, A, Fotso, D, Fourches, D, Friend, S, Frigessi, A, Gao, F, Gao, X, Gerold, J, Gestraud, P, Ghosh, S, Gillberg, J, Godoy-Lorite, A, Godynyuk, L, Godzik, A, Goldenberg, A, Gomez-Cabrero, D, Gonen, M, de Graaf, C, Gray, H, Grechkin, M, Guimera, R, Guney, E, Haibe-Kains, B, Han, Y, Hase, T, He, D, He, L, Heath, L, Hellton, K, Helmer-Citterich, M, Hidalgo, M, Hidru, D, Hill, S, Hochreiter, S, Hong, S, Hovig, E, Hsueh, Y, Hu, Z, Huang, J, Huang, R, Hunyady, L, Hwang, J, Hwang, T, Hwang, W, Hwang, Y, Isayev, O, Don't Walk, O, Jack, J, Jahandideh, S, Ji, J, Jo, Y, Kamola, P, Kanev, G, Karacosta, L, Karimi, M, Kaski, S, Kazanov, M, Khamis, A, Khan, S, Kiani, N, Kim, A, Kim, J, Kim, K, Kim, S, Kim, Y, Kirk, P, Kitano, H, Klambauer, G, Knowles, D, Ko, M, Kohn-Luque, A, Kooistra, A, Kuenemann, M, Kuiper, M, Kurz, C, Kwon, M, van Laarhoven, T, Laegreid, A, Lederer, S, Lee, H, Lee, J, Lee, Y, Lepp_aho, E, Lewis, R, Li, J, Li, L, Liley, J, Lim, W, Lin, C, Liu, Y, Lopez, Y, Low, J, Lysenko, A, Machado, D, Madhukar, N, Maeyer, D, Malpartida, A, Mamitsuka, H, Marabita, F, Marchal, K, Marttinen, P, Mason, D, Mazaheri, A, Mehmood, A, Mehreen, A, Michaut, M, Miller, R, Mitsopoulos, C, Modos, D, Moerbeke, M, Moo, K, Motsinger-Reif, A, Movva, R, Muraru, S, Muratov, E, Mushthofa, M, Nagarajan, N, Nakken, S, Nath, A, Neuvial, P, Newton, R, Ning, Z, Niz, C, Oliva, B, Olsen, C, Palmeri, A, Panesar, B, Papadopoulos, S, Park, J, Park, S, Pawitan, Y, Peluso, D, Pendyala, S, Peng, J, Perfetto, L, Pirro, S, Plevritis, S, Politi, R, Poon, H, Porta, E, Prellner, I, Preuer, K, Pujana, M, Ramnarine, R, Reid, J, Reyal, F, Richardson, S, Ricketts, C, Rieswijk, L, Rocha, M, Rodriguez-Gonzalvez, C, Roell, K, Rotroff, D, de Ruiter, J, Rukawa, P, Sadacca, B, Safikhani, Z, Safitri, F, Sales-Pardo, M, Sauer, S, Schlichting, M, Seoane, J, Serra, J, Shang, M, Sharma, A, Sharma, H, Shen, Y, Shiga, M, Shin, M, Shkedy, Z, Shopsowitz, K, Sinai, S, Skola, D, Smirnov, P, Soerensen, I, Soerensen, P, Song, J, Song, S, Soufan, O, Spitzmueller, A, Steipe, B, Suphavilai, C, Tamayo, S, Tamborero, D, Tang, J, Tanoli, Z, Tarres-Deulofeu, M, Tegner, J, Thommesen, L, Tonekaboni, S, Tran, H, Troyer, E, Truong, A, Tsunoda, T, Turu, G, Tzeng, G, Verbeke, L, Videla, S, Vis, D, Voronkov, A, Votis, K, Wang, A, Wang, H, Wang, P, Wang, S, Wang, W, Wang, X, Wennerberg, K, Wernisch, L, Wessels, L, van Westen, G, Westerman, B, White, S, Willighagen, E, Wurdinger, T, Xie, L, Xie, S, Xu, H, Yadav, B, Yau, C, Yeerna, H, Yin, J, Yu, M, Yun, S, Zakharov, A, Zamichos, A, Zanin, M, Zeng, L, Zenil, H, Zhang, F, Zhang, P, Zhang, W, Zhao, H, Zhao, L, Zheng, W, Zoufir, A, Zucknick, M, Jang, I, Ghazoui, Z, Ahsen, M, Vogel, R, Neto, E, Norman, T, Tang, E, Garnett, M, Veroli, G, Fawell, S, Stolovitzky, G, Guinney, J, Dry, J, Saez-Rodriguez, J, Menden M. P., Wang D., Mason M. J., Szalai B., Bulusu K. C., Guan Y., Yu T., Kang J., Jeon M., Wolfinger R., Nguyen T., Zaslavskiy M., Abante J., Abecassis B. S., Aben N., Aghamirzaie D., Aittokallio T., Akhtari F. S., Al-lazikani B., Alam T., Allam A., Allen C., de Almeida M. P., Altarawy D., Alves V., Amadoz A., Anchang B., Antolin A. A., Ash J. R., Aznar V. R., Ba-alawi W., Bagheri M., Bajic V., Ball G., Ballester P. J., Baptista D., Bare C., Bateson M., Bender A., Bertrand D., Wijayawardena B., Boroevich K. A., Bosdriesz E., Bougouffa S., Bounova G., Brouwer T., Bryant B., Calaza M., Calderone A., Calza S., Capuzzi S., Carbonell-Caballero J., Carlin D., Carter H., Castagnoli L., Celebi R., Cesareni G., Chang H., Chen G., Chen H., Cheng L., Chernomoretz A., Chicco D., Cho K. -H., Cho S., Choi D., Choi J., Choi K., Choi M., Cock M. D., Coker E., Cortes-Ciriano I., Cserzo M., Cubuk C., Curtis C., Daele D. V., Dang C. C., Dijkstra T., Dopazo J., Draghici S., Drosou A., Dumontier M., Ehrhart F., Eid F. -E., ElHefnawi M., Elmarakeby H., van Engelen B., Engin H. B., de Esch I., Evelo C., Falcao A. O., Farag S., Fernandez-Lozano C., Fisch K., Flobak A., Fornari C., Foroushani A. B. K., Fotso D. C., Fourches D., Friend S., Frigessi A., Gao F., Gao X., Gerold J. M., Gestraud P., Ghosh S., Gillberg J., Godoy-Lorite A., Godynyuk L., Godzik A., Goldenberg A., Gomez-Cabrero D., Gonen M., de Graaf C., Gray H., Grechkin M., Guimera R., Guney E., Haibe-Kains B., Han Y., Hase T., He D., He L., Heath L. S., Hellton K. H., Helmer-Citterich M., Hidalgo M. R., Hidru D., Hill S. M., Hochreiter S., Hong S., Hovig E., Hsueh Y. -C., Hu Z., Huang J. K., Huang R. S., Hunyady L., Hwang J., Hwang T. H., Hwang W., Hwang Y., Isayev O., Don't Walk O. B., Jack J., Jahandideh S., Ji J., Jo Y., Kamola P. J., Kanev G. K., Karacosta L., Karimi M., Kaski S., Kazanov M., Khamis A. M., Khan S. A., Kiani N. A., Kim A., Kim J., Kim K., Kim S., Kim Y., Kirk P. D. W., Kitano H., Klambauer G., Knowles D., Ko M., Kohn-Luque A., Kooistra A. J., Kuenemann M. A., Kuiper M., Kurz C., Kwon M., van Laarhoven T., Laegreid A., Lederer S., Lee H., Lee J., Lee Y. W., Lepp_aho E., Lewis R., Li J., Li L., Liley J., Lim W. K., Lin C., Liu Y., Lopez Y., Low J., Lysenko A., Machado D., Madhukar N., Maeyer D. D., Malpartida A. B., Mamitsuka H., Marabita F., Marchal K., Marttinen P., Mason D., Mazaheri A., Mehmood A., Mehreen A., Michaut M., Miller R. A., Mitsopoulos C., Modos D., Moerbeke M. V., Moo K., Motsinger-Reif A., Movva R., Muraru S., Muratov E., Mushthofa M., Nagarajan N., Nakken S., Nath A., Neuvial P., Newton R., Ning Z., Niz C. D., Oliva B., Olsen C., Palmeri A., Panesar B., Papadopoulos S., Park J., Park S., Pawitan Y., Peluso D., Pendyala S., Peng J., Perfetto L., Pirro S., Plevritis S., Politi R., Poon H., Porta E., Prellner I., Preuer K., Pujana M. A., Ramnarine R., Reid J. E., Reyal F., Richardson S., Ricketts C., Rieswijk L., Rocha M., Rodriguez-Gonzalvez C., Roell K., Rotroff D., de Ruiter J. R., Rukawa P., Sadacca B., Safikhani Z., Safitri F., Sales-Pardo M., Sauer S., Schlichting M., Seoane J. A., Serra J., Shang M. -M., Sharma A., Sharma H., Shen Y., Shiga M., Shin M., Shkedy Z., Shopsowitz K., Sinai S., Skola D., Smirnov P., Soerensen I. F., Soerensen P., Song J. -H., Song S. O., Soufan O., Spitzmueller A., Steipe B., Suphavilai C., Tamayo S. P., Tamborero D., Tang J., Tanoli Z. -U. -R., Tarres-Deulofeu M., Tegner J., Thommesen L., Tonekaboni S. A. M., Tran H., Troyer E. D., Truong A., Tsunoda T., Turu G., Tzeng G. -Y., Verbeke L., Videla S., Vis D., Voronkov A., Votis K., Wang A., Wang H. -Q. H., Wang P. -W., Wang S., Wang W., Wang X., Wennerberg K., Wernisch L., Wessels L., van Westen G. J. P., Westerman B. A., White S. R., Willighagen E., Wurdinger T., Xie L., Xie S., Xu H., Yadav B., Yau C., Yeerna H., Yin J. W., Yu M., Yu M. H., Yun S. J., Zakharov A., Zamichos A., Zanin M., Zeng L., Zenil H., Zhang F., Zhang P., Zhang W., Zhao H., Zhao L., Zheng W., Zoufir A., Zucknick M., Jang I. S., Ghazoui Z., Ahsen M. E., Vogel R., Neto E. C., Norman T., Tang E. K. Y., Garnett M. J., Veroli G. Y. D., Fawell S., Stolovitzky G., Guinney J., Dry J. R., and Saez-Rodriguez J.

Abstract

The effectiveness of most cancer targeted therapies is short-lived. Tumors often develop resistance that might be overcome with drug combinations. However, the number of possible combinations is vast, necessitating data-driven approaches to find optimal patient-specific treatments. Here we report AstraZeneca’s large drug combination dataset, consisting of 11,576 experiments from 910 combinations across 85 molecularly characterized cancer cell lines, and results of a DREAM Challenge to evaluate computational strategies for predicting synergistic drug pairs and biomarkers. 160 teams participated to provide a comprehensive methodological development and benchmarking. Winning methods incorporate prior knowledge of drug-target interactions. Synergy is predicted with an accuracy matching biological replicates for >60% of combinations. However, 20% of drug combinations are poorly predicted by all methods. Genomic rationale for synergy predictions are identified, including ADAM17 inhibitor antagonism when combined with PIK3CB/D inhibition contrasting to synergy when combined with other PI3K-pathway inhibitors in PIK3CA mutant cells.

Published
2019

23. A National Programmable Infrastructure to Experiment with Next-Generation Networks

Author

Grosso, P., Hesselman, C., Hendriks, L., Hill, J., Konstantaras, S., van der Pol, R., Reijs, V., de Ruiter, J., Schutijser, C., Ahmed, T., Festor, O., Ghamri-Doudane, Y., Kang, J.-M., Schaeffer-Filho, A.E., Lahmadi, A., Madeira, E., and Multiscale Networked Systems (IvI, FNWI)

Abstract

We have set up the first multi-domain P4programmable network in the Netherlands, consisting of six different sites interconnected by SURF's optical network. The purpose of the network is to experiment with novel inter-domain network functions and emerging internet architectures, in particular to improve the transparency, accountability, and controllability of the Internet and future networks. We provide an overview of the testbed's set-up, examples of how we have used it, and our lessons learned.

Published
2021

24. Early film formation in protein-stabilised emulsions: Insights from a microfluidic approach

Author

Hinderink, E.B.A., de Ruiter, J., de Leeuw, Jaap, Schroen, C.G.P.H., Sagis, L.M.C., Berton-Carabin, C.C., Hinderink, E.B.A., de Ruiter, J., de Leeuw, Jaap, Schroen, C.G.P.H., Sagis, L.M.C., and Berton-Carabin, C.C.

Abstract

In conventional emulsification devices, interface formation and stabilisation occur within milliseconds. Protein network formation at liquid-liquid interfaces starts at time scales similar to those of droplet formation in conventional emulsification devices (i.e., in milliseconds). Classical methods, like drop tensiometry, do not allow measurements at these time scales. Using a tailor-made microchip, we probed droplet deformation to study the interfacial rheological properties of droplets, within time scales ranging from 0.16 to 1 s. We further investigated the coalescence stability of droplets at the same time scales. Whey protein isolate (WPI), pea protein isolate (PPI), or their blends were used as emulsifiers at 0.01–1 g/L. The rheological properties of the protein-interfaces showed that early network formation takes place (<1 s). WPI-stabilised interfaces were mechanically stronger compared to PPI-stabilised interfaces, and WPI-stabilised droplets were much less prone to coalescence than their PPI counterparts. Although the blend-stabilised films showed high interconnectivity, this did not prevent droplet coalescence, probably due to structural heterogeneity. The insights obtained with the tailor-made microfluidic devices help to capture effects at short time scales and are relevant to unravel phenomena occurring in large scale processing.

Published
2021

25. Repair: The Interface Between Interaction and Cognition

Author

Albert, Saul and de Ruiter, J. P.

Subjects
Understanding, Interaction, Conversation analysis, Verbal Behavior, Communication, Dialog, Miscommunication, Ethnomethodology, Conversation, Humans, Original Article, Interpersonal Relations, Comprehension, Repair
Abstract

Conversational repair is the process people use to detect and resolve problems of speaking, hearing, and understanding. Through repair, participants in social interaction display how they establish and maintain communication and mutual understanding. We argue that repair provides a crucial theoretical interface for research between diverse approaches to studying human interaction. We provide an overview of conversation analytic findings about repair in order to encourage further cross‐disciplinary research involving both detailed inductive inquiry and more theory‐driven experimental approaches. We outline CA's main typologies of repair and its methodological rationale, and we provide transcripts and examples that readers can explore for themselves using open data from online corpora. Since participants in interaction use repair to deal with problems as they emerge at the surface level of talk, we conclude that repair can be a point of convergence for studying mis/communication from multiple methodological perspectives., Albert and De Ruiter provide an introduction to the Conversation Analytic approach to ‘repair’: the ways in which people detect and deal with troubles in speaking, hearing and understanding in conversation. They explain the basic turn‐taking structures involved, provide examples, explain recent developments in the field and highlight some important points of contact and contrast with work in the Cognitive Sciences.

Published
2018

30. Bioconda: Sustainable and comprehensive software distribution for the life sciences

Author

Dale, R, Gruning, B, Sjodin, A, Rowe, J, Chapman, B, Tomkins-Tinch, C, Valieris, R, Batut, B, Caprez, A, Cokelaer, T, Yusuf, D, Beauchamp, K, Brinda, K, Wollmann, T, Corguille, G, Ryan, D, Bretaudeau, A, Hoogstrate, Y, Pedersen, B, Heeringen, S, Raden, M, Luna-Valero, S, Soranzo, N, Smet, M, Kuster, G, Kirchner, R, Pantano, L, Charlop-Powers, Z, Thornton, K, Martin, M, Beek, M, Maticzka, D, Miladi, M, Will, S, Gravouil, K, Unneberg, P, Brueffer, C, Blank, C, Piro, V, Wolff, J, Antao, T, Gladman, S, Shlyakhter, I, Hollander, M, Mabon, P, Shen, W, Boekel, J, Holtgrewe, M, Bouvier, D, de Ruiter, J, Cabral, J, Choudhary, S, Harding, N, Kleinkauf, R, Enns, E, Eggenhofer, F, Brown, J, Cock, P, Timm, H, Thomas, C, Zhang, X, Chambers, M, Turaga, N, Seiler, E, Brislawn, C, Pruesse, E, Fallmann, J, Kelleher, J, Nguyen, H, Parsons, L, Fang, Z, Stovner, E, Stoler, N, Ye, S, Wohlers, I, Farouni, R, Freeberg, M, Johnson, J, Bargull, M, Kensche, P, Webster, T, Eppley, J, Stahl, C, Rose, A, Reynolds, A, Wang, L, Garnier, X, Dirmeier, S, Knudsen, M, Taylor, J, Srivastava, A, Rai, V, Agren, R, Junge, A, Guimera, R, Khan, A, Schmeier, S, He, G, Pinello, L, Hagglund, E, Mikheyev, A, Preussner, J, Waters, N, Li, W, Capellades, J, Chande, A, Pirola, Y, Hiltemann, S, Bendall, M, Singh, S, Dunn, W, Drouin, A, Domenico, T, Bruijn, I, Larson, D, Chicco, D, Grassi, E, Gonnella, G, B, J, Giacomoni, F, Clarke, E, Blankenberg, D, Tran, C, Patro, R, Laurent, S, Gopez, M, Sennblad, B, Baaijens, J, Ewels, P, Wright, P, Enache, O, Roger, P, Dampier, W, Koppstein, D, Devisetty, U, Rausch, T, Cornwell, M, Salatino, A, Seiler, J, Jung, M, Kornobis, E, Cumbo, F, Stocker, B, Moskalenko, O, Bogema, D, Workentine, M, Newhouse, S, Leprevost, F, Arvai, K, Koster, J, Dale R., Gruning B., Sjodin A., Rowe J., Chapman B. A., Tomkins-Tinch C. H., Valieris R., Batut B., Caprez A., Cokelaer T., Yusuf D., Beauchamp K. A., Brinda K., Wollmann T., Corguille G. L., Ryan D., Bretaudeau A., Hoogstrate Y., Pedersen B. S., Heeringen S., Raden M., Luna-Valero S., Soranzo N., Smet M. D., Kuster G. V., Kirchner R., Pantano L., Charlop-Powers Z., Thornton K., Martin M., Beek M. D., Maticzka D., Miladi M., Will S., Gravouil K., Unneberg P., Brueffer C., Blank C., Piro V. C., Wolff J., Antao T., Gladman S., Shlyakhter I., Hollander M., Mabon P., Shen W., Boekel J., Holtgrewe M., Bouvier D., de Ruiter J. R., Cabral J., Choudhary S., Harding N., Kleinkauf R., Enns E., Eggenhofer F., Brown J., Cock P. J. A., Timm H., Thomas C., Zhang X. -O., Chambers M., Turaga N., Seiler E., Brislawn C., Pruesse E., Fallmann J., Kelleher J., Nguyen H., Parsons L., Fang Z., Stovner E. B., Stoler N., Ye S., Wohlers I., Farouni R., Freeberg M., Johnson J. E., Bargull M., Kensche P. R., Webster T. H., Eppley J. M., Stahl C., Rose A. S., Reynolds A., Wang L. -B., Garnier X., Dirmeier S., Knudsen M., Taylor J., Srivastava A., Rai V., Agren R., Junge A., Guimera R. V., Khan A., Schmeier S., He G., Pinello L., Hagglund E., Mikheyev A. S., Preussner J., Waters N. R., Li W., Capellades J., Chande A. T., Pirola Y., Hiltemann S., Bendall M. L., Singh S., Dunn W. A., Drouin A., Domenico T. D., Bruijn I., Larson D. E., Chicco D., Grassi E., Gonnella G., B J., Wang L., Giacomoni F., Clarke E., Blankenberg D., Tran C., Patro R., Laurent S., Gopez M., Sennblad B., Baaijens J. A., Ewels P., Wright P. R., Enache O. M., Roger P., Dampier W., Koppstein D., Devisetty U. K., Rausch T., Cornwell M., Salatino A. E., Seiler J., Jung M., Kornobis E., Cumbo F., Stocker B. K., Moskalenko O., Bogema D. R., Workentine M. L., Newhouse S. J., Leprevost F. D. V., Arvai K., Koster J., Dale, R, Gruning, B, Sjodin, A, Rowe, J, Chapman, B, Tomkins-Tinch, C, Valieris, R, Batut, B, Caprez, A, Cokelaer, T, Yusuf, D, Beauchamp, K, Brinda, K, Wollmann, T, Corguille, G, Ryan, D, Bretaudeau, A, Hoogstrate, Y, Pedersen, B, Heeringen, S, Raden, M, Luna-Valero, S, Soranzo, N, Smet, M, Kuster, G, Kirchner, R, Pantano, L, Charlop-Powers, Z, Thornton, K, Martin, M, Beek, M, Maticzka, D, Miladi, M, Will, S, Gravouil, K, Unneberg, P, Brueffer, C, Blank, C, Piro, V, Wolff, J, Antao, T, Gladman, S, Shlyakhter, I, Hollander, M, Mabon, P, Shen, W, Boekel, J, Holtgrewe, M, Bouvier, D, de Ruiter, J, Cabral, J, Choudhary, S, Harding, N, Kleinkauf, R, Enns, E, Eggenhofer, F, Brown, J, Cock, P, Timm, H, Thomas, C, Zhang, X, Chambers, M, Turaga, N, Seiler, E, Brislawn, C, Pruesse, E, Fallmann, J, Kelleher, J, Nguyen, H, Parsons, L, Fang, Z, Stovner, E, Stoler, N, Ye, S, Wohlers, I, Farouni, R, Freeberg, M, Johnson, J, Bargull, M, Kensche, P, Webster, T, Eppley, J, Stahl, C, Rose, A, Reynolds, A, Wang, L, Garnier, X, Dirmeier, S, Knudsen, M, Taylor, J, Srivastava, A, Rai, V, Agren, R, Junge, A, Guimera, R, Khan, A, Schmeier, S, He, G, Pinello, L, Hagglund, E, Mikheyev, A, Preussner, J, Waters, N, Li, W, Capellades, J, Chande, A, Pirola, Y, Hiltemann, S, Bendall, M, Singh, S, Dunn, W, Drouin, A, Domenico, T, Bruijn, I, Larson, D, Chicco, D, Grassi, E, Gonnella, G, B, J, Giacomoni, F, Clarke, E, Blankenberg, D, Tran, C, Patro, R, Laurent, S, Gopez, M, Sennblad, B, Baaijens, J, Ewels, P, Wright, P, Enache, O, Roger, P, Dampier, W, Koppstein, D, Devisetty, U, Rausch, T, Cornwell, M, Salatino, A, Seiler, J, Jung, M, Kornobis, E, Cumbo, F, Stocker, B, Moskalenko, O, Bogema, D, Workentine, M, Newhouse, S, Leprevost, F, Arvai, K, Koster, J, Dale R., Gruning B., Sjodin A., Rowe J., Chapman B. A., Tomkins-Tinch C. H., Valieris R., Batut B., Caprez A., Cokelaer T., Yusuf D., Beauchamp K. A., Brinda K., Wollmann T., Corguille G. L., Ryan D., Bretaudeau A., Hoogstrate Y., Pedersen B. S., Heeringen S., Raden M., Luna-Valero S., Soranzo N., Smet M. D., Kuster G. V., Kirchner R., Pantano L., Charlop-Powers Z., Thornton K., Martin M., Beek M. D., Maticzka D., Miladi M., Will S., Gravouil K., Unneberg P., Brueffer C., Blank C., Piro V. C., Wolff J., Antao T., Gladman S., Shlyakhter I., Hollander M., Mabon P., Shen W., Boekel J., Holtgrewe M., Bouvier D., de Ruiter J. R., Cabral J., Choudhary S., Harding N., Kleinkauf R., Enns E., Eggenhofer F., Brown J., Cock P. J. A., Timm H., Thomas C., Zhang X. -O., Chambers M., Turaga N., Seiler E., Brislawn C., Pruesse E., Fallmann J., Kelleher J., Nguyen H., Parsons L., Fang Z., Stovner E. B., Stoler N., Ye S., Wohlers I., Farouni R., Freeberg M., Johnson J. E., Bargull M., Kensche P. R., Webster T. H., Eppley J. M., Stahl C., Rose A. S., Reynolds A., Wang L. -B., Garnier X., Dirmeier S., Knudsen M., Taylor J., Srivastava A., Rai V., Agren R., Junge A., Guimera R. V., Khan A., Schmeier S., He G., Pinello L., Hagglund E., Mikheyev A. S., Preussner J., Waters N. R., Li W., Capellades J., Chande A. T., Pirola Y., Hiltemann S., Bendall M. L., Singh S., Dunn W. A., Drouin A., Domenico T. D., Bruijn I., Larson D. E., Chicco D., Grassi E., Gonnella G., B J., Wang L., Giacomoni F., Clarke E., Blankenberg D., Tran C., Patro R., Laurent S., Gopez M., Sennblad B., Baaijens J. A., Ewels P., Wright P. R., Enache O. M., Roger P., Dampier W., Koppstein D., Devisetty U. K., Rausch T., Cornwell M., Salatino A. E., Seiler J., Jung M., Kornobis E., Cumbo F., Stocker B. K., Moskalenko O., Bogema D. R., Workentine M. L., Newhouse S. J., Leprevost F. D. V., Arvai K., and Koster J.

Abstract

Bioinformatics software comes in a variety of programming languages and requires diverse installation methods. This heterogeneity makes management of a software stack complicated, error-prone, and inordinately time-consuming. Whereas software deployment has traditionally been handled by administrators, ensuring the reproducibility of data analyses1–3 requires that the researcher be able to maintain full control of the software environment, rapidly modify it without administrative privileges, and reproduce the same software stack on different machines.

Published
2018

31. Bioconda: sustainable and comprehensive software distribution for the life sciences

Author

Dale R., Gruning B., Sjodin A., Rowe J., Chapman B. A., Tomkins-Tinch C. H., Valieris R., Batut B., Caprez A., Cokelaer T., Yusuf D., Beauchamp K. A., Brinda K., Wollmann T., Corguille G. L., Ryan D., Bretaudeau A., Hoogstrate Y., Pedersen B. S., Heeringen S., Raden M., Luna-Valero S., Soranzo N., Smet M. D., Kuster G. V., Kirchner R., Pantano L., Charlop-Powers Z., Thornton K., Martin M., Beek M. D., Maticzka D., Miladi M., Will S., Gravouil K., Unneberg P., Brueffer C., Blank C., Piro V. C., Wolff J., Antao T., Gladman S., Shlyakhter I., Hollander M., Mabon P., Shen W., Boekel J., Holtgrewe M., Bouvier D., de Ruiter J. R., Cabral J., Choudhary S., Harding N., Kleinkauf R., Enns E., Eggenhofer F., Brown J., Cock P. J. A., Timm H., Thomas C., Zhang X. -O., Chambers M., Turaga N., Seiler E., Brislawn C., Pruesse E., Fallmann J., Kelleher J., Nguyen H., Parsons L., Fang Z., Stovner E. B., Stoler N., Ye S., Wohlers I., Farouni R., Freeberg M., Johnson J. E., Bargull M., Kensche P. R., Webster T. H., Eppley J. M., Stahl C., Rose A. S., Reynolds A., Wang L. -B., Garnier X., Dirmeier S., Knudsen M., Taylor J., Srivastava A., Rai V., Agren R., Junge A., Guimera R. V., Khan A., Schmeier S., He G., Pinello L., Hagglund E., Mikheyev A. S., Preussner J., Waters N. R., Li W., Capellades J., Chande A. T., Pirola Y., Hiltemann S., Bendall M. L., Singh S., Dunn W. A., Drouin A., Domenico T. D., Bruijn I., Larson D. E., Chicco D., Grassi E., Gonnella G., B J., Wang L., Giacomoni F., Clarke E., Blankenberg D., Tran C., Patro R., Laurent S., Gopez M., Sennblad B., Baaijens J. A., Ewels P., Wright P. R., Enache O. M., Roger P., Dampier W., Koppstein D., Devisetty U. K., Rausch T., Cornwell M., Salatino A. E., Seiler J., Jung M., Kornobis E., Cumbo F., Stocker B. K., Moskalenko O., Bogema D. R., Workentine M. L., Newhouse S. J., Leprevost F. D. V., Arvai K., Koster J., Albert-Ludwigs-Universität Freiburg, National Institutes of Health [Bethesda] (NIH), Swedish Defence Research Agency [Stockholm] (FOI), Umeå University, Harvard T.H. Chan School of Public Health, New York University [Abu Dhabi], NYU System (NYU), Harvard University [Cambridge], Hospital Camargo Sao Paulo, Partenaires INRAE, University of Duisburg-Essen, This work was supported by the Intramural Program of the National Institute of Diabetes and Digestive and Kidney Diseases, US National Institutes of Health (R.D.), the Netherlands Organisation for Scientific Research (NWO) (VENI grant 016.Veni.173.076 to J.K.), the German Research Foundation (SFB 876 to J.K.), and the NYU Abu Dhabi Research Institute for the NYU Abu Dhabi Center for Genomics and Systems Biology, program number CGSB1 (grant to J.R. and A. Yousif)., We thank all contributors, the conda-forge team, and Anaconda Inc. for excellent cooperation. Further, we thank Travis CI (https://travis-ci.com) and Circle CI (https://circleci.com) for providing free Linux and macOS computing capacity. Finally, we thank ELIXIR (https://www.elixir-europe.org) for constant support and donation of staff., Etienne Kornobis (Epigenetic Regulation Unit, Institut Pasteur, Paris, France) fait partie de Bioconda Team, Bioinformatics Group, Department ​ ​ of ​ ​ Computer ​ ​ Science, University of Freiburg [Freiburg], Laboratory of Cellular and Developmental Biology (LCDB), NIDDK, NIH, Department of Organismic and Evolutionary Biology, Broad Institute of MIT and Harvard (BROAD INSTITUTE), Harvard Medical School [Boston] (HMS)-Massachusetts Institute of Technology (MIT)-Massachusetts General Hospital [Boston], Microbiologie Environnement Digestif Santé (MEDIS), INRA Clermont-Ferrand-Theix-Université Clermont Auvergne [2017-2020] (UCA [2017-2020]), Umea Plant Science Center (UPSC), Department of Forest Genetics and Plant Physiology, Swedish University of Agricultural Sciences (SLU)-Swedish University of Agricultural Sciences (SLU), Laboratoire Microorganismes : Génome et Environnement (LMGE), Université Clermont Auvergne [2017-2020] (UCA [2017-2020])-Centre National de la Recherche Scientifique (CNRS), Harvard University, Universität Duisburg-Essen = University of Duisburg-Essen [Essen], Dale, R, Gruning, B, Sjodin, A, Rowe, J, Chapman, B, Tomkins-Tinch, C, Valieris, R, Batut, B, Caprez, A, Cokelaer, T, Yusuf, D, Beauchamp, K, Brinda, K, Wollmann, T, Corguille, G, Ryan, D, Bretaudeau, A, Hoogstrate, Y, Pedersen, B, Heeringen, S, Raden, M, Luna-Valero, S, Soranzo, N, Smet, M, Kuster, G, Kirchner, R, Pantano, L, Charlop-Powers, Z, Thornton, K, Martin, M, Beek, M, Maticzka, D, Miladi, M, Will, S, Gravouil, K, Unneberg, P, Brueffer, C, Blank, C, Piro, V, Wolff, J, Antao, T, Gladman, S, Shlyakhter, I, Hollander, M, Mabon, P, Shen, W, Boekel, J, Holtgrewe, M, Bouvier, D, de Ruiter, J, Cabral, J, Choudhary, S, Harding, N, Kleinkauf, R, Enns, E, Eggenhofer, F, Brown, J, Cock, P, Timm, H, Thomas, C, Zhang, X, Chambers, M, Turaga, N, Seiler, E, Brislawn, C, Pruesse, E, Fallmann, J, Kelleher, J, Nguyen, H, Parsons, L, Fang, Z, Stovner, E, Stoler, N, Ye, S, Wohlers, I, Farouni, R, Freeberg, M, Johnson, J, Bargull, M, Kensche, P, Webster, T, Eppley, J, Stahl, C, Rose, A, Reynolds, A, Wang, L, Garnier, X, Dirmeier, S, Knudsen, M, Taylor, J, Srivastava, A, Rai, V, Agren, R, Junge, A, Guimera, R, Khan, A, Schmeier, S, He, G, Pinello, L, Hagglund, E, Mikheyev, A, Preussner, J, Waters, N, Li, W, Capellades, J, Chande, A, Pirola, Y, Hiltemann, S, Bendall, M, Singh, S, Dunn, W, Drouin, A, Domenico, T, Bruijn, I, Larson, D, Chicco, D, Grassi, E, Gonnella, G, B, J, Giacomoni, F, Clarke, E, Blankenberg, D, Tran, C, Patro, R, Laurent, S, Gopez, M, Sennblad, B, Baaijens, J, Ewels, P, Wright, P, Enache, O, Roger, P, Dampier, W, Koppstein, D, Devisetty, U, Rausch, T, Cornwell, M, Salatino, A, Seiler, J, Jung, M, Kornobis, E, Cumbo, F, Stocker, B, Moskalenko, O, Bogema, D, Workentine, M, Newhouse, S, Leprevost, F, Arvai, K, Koster, J, Urology, and Pathology

Subjects
0301 basic medicine, Computer science, [SDV]Life Sciences [q-bio], Medizin, computer.software_genre, Biochemistry, User-Computer Interface, 03 medical and health sciences, 0302 clinical medicine, Software system, Molecular Biology, ComputingMilieux_MISCELLANEOUS, Social software engineering, Database, business.industry, Software development, INF/01 - INFORMATICA, Computational Biology, Cell Biology, Software distribution, 030104 developmental biology, Software construction, [SDE]Environmental Sciences, Package development process, Backporting, [INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM], business, computer, Software, 030217 neurology & neurosurgery, Biotechnology
Abstract

International audience; We present Bioconda (https://bioconda.github.io), a distribution of bioinformatics software for the lightweight, multi- platform and language-agnostic package manager Conda. Currently, Bioconda o ers a collection of over 3000 software packages, which is continuously maintained, updated, and extended by a growing global community of more than 200 contributors. Bio- conda improves analysis reproducibility by allowing users to de ne isolated environments with de ned software versions, all of which are easily installed and managed without administrative privileges.

Published
2018
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34. The Importance of Interfacial Tension in Emulsification: Connecting Scaling Relations Used in Large Scale Preparation with Microfluidic Measurement Methods

Author

Schroën, C.G.P.H., de Ruiter, J., Berton-Carabin, C.C., Schroën, C.G.P.H., de Ruiter, J., and Berton-Carabin, C.C.

Abstract

This paper starts with short descriptions of emulsion preparation methods used at large and smaller scales. We give scaling relations as they are generally used, and focus on the central role that interfacial tension plays in these relations. The actual values of the interfacial tension are far from certain given the dynamic behavior of surface-active components, and the lack of measurementmethods that can be applied to conditions as they occur during large-scale preparation. Microfluidic techniques are expected to be very instrumental in closing this gap. Reduction of interfacial tension resulting from emulsifier adsorption at the oil-water interface is a complex process that consists ofvarious steps. We discuss them here, and present methods used to probe them. Specifically, methods based on microfluidic tools are of great interest to study short droplet formation times, and also coalescence behavior of droplets. We present the newest insights in this field, which are expected to bring interfacial tension observations to a level that is of direct relevance for the large-scale preparation of emulsions, and that of other multi-phase products.

Published
2020

36. Mouse models in the era of large human tumour sequencing studies

Author

De Ruiter, J. R., Wessels, L.F.A., and Jonkers, J.

Subjects
driver genes, cancer, mouse models, genetic screening, GEMMs, oncogenomics
Abstract

Cancer is a complex disease in which cells progressively accumulate mutations disrupting their cellular processes. A fraction of these mutations drive tumourigenesis by affecting oncogenes or tumour suppressor genes, but many mutations are passengers with no clear contribution to tumour development. The advancement of DNA and RNA sequencing technologies has enabled in-depth analysis of thousands of human tumours from various tissues to perform systematic characterization of their (epi)genomes and transcriptomes in order to identify (epi)genetic changes associated with cancer. Combined with considerable progress in algorithmic development, this expansion in scale has resulted in the identification of many cancer-associated mutations, genes and pathways that are considered to be potential drivers of tumour development. However, it remains challenging to systematically identify drivers affected by complex genomic rearrangements and drivers residing in non-coding regions of the genome or in complex amplicons or deletions of copy-number driven tumours. Furthermore, functional characterization is challenging in the human context due to the lack of genetically tractable experimental model systems in which the effects of mutations can be studied in the context of their tumour microenvironment. In this respect, mouse models of human cancer provide unique opportunities for pinpointing novel driver genes and their detailed characterization. In this review, we provide an overview of approaches for complementing human studies with data from mouse models. We also discuss state-of-the-art technological developments for cancer gene discovery and validation in mice.

Published
2018

40. Mouse models in the era of large human tumour sequencing studies

Author

De Ruiter, J. R. (author), Wessels, L.F.A. (author), Jonkers, J. (author), De Ruiter, J. R. (author), Wessels, L.F.A. (author), and Jonkers, J. (author)

Abstract

Cancer is a complex disease in which cells progressively accumulate mutations disrupting their cellular processes. A fraction of these mutations drive tumourigenesis by affecting oncogenes or tumour suppressor genes, but many mutations are passengers with no clear contribution to tumour development. The advancement of DNA and RNA sequencing technologies has enabled in-depth analysis of thousands of human tumours from various tissues to perform systematic characterization of their (epi)genomes and transcriptomes in order to identify (epi)genetic changes associated with cancer. Combined with considerable progress in algorithmic development, this expansion in scale has resulted in the identification of many cancer-associated mutations, genes and pathways that are considered to be potential drivers of tumour development. However, it remains challenging to systematically identify drivers affected by complex genomic rearrangements and drivers residing in non-coding regions of the genome or in complex amplicons or deletions of copy-number driven tumours. Furthermore, functional characterization is challenging in the human context due to the lack of genetically tractable experimental model systems in which the effects of mutations can be studied in the context of their tumour microenvironment. In this respect, mouse models of human cancer provide unique opportunities for pinpointing novel driver genes and their detailed characterization. In this review, we provide an overview of approaches for complementing human studies with data from mouse models. We also discuss state-of-the-art technological developments for cancer gene discovery and validation in mice., Pattern Recognition and Bioinformatics

Published
2018
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41. Adjuvant Chemotherapy: Theoretical Considerations and Model Studies

Author

van Putten, L. M., de Ruiter, J., van de Velde, C. J. H., Mulder, J. H., Gerritsen, A. F. C., Allfrey, V. G., editor, Allgöwer, M., editor, Berenblum, I., editor, Bergel, F., editor, Bernard, J., editor, Bernhard, W., editor, Blokhin, N. N., editor, Bock, H. E., editor, Braun, W., editor, Bucalossi, P., editor, Chaklin, A. V., editor, Chorazy, M., editor, Cunningham, G. J., editor, Della Porta, G., editor, Denoix, P., editor, Dulbecco, R., editor, Eagle, H., editor, Eker, R., editor, Good, R. A., editor, Grabar, P., editor, Harris, R. J. C., editor, Hecker, E., editor, Herbeuval, R., editor, Higginson, J., editor, Hueper, W. C., editor, Isliker, H., editor, Kieler, J., editor, Kirsten, W. H., editor, Klein, G., editor, Koprowski, H., editor, Koss, L. G., editor, Martz, G., editor, Mathé, G., editor, Mühlbock, O., editor, Nakahara, W., editor, Old, L. J., editor, Potter, V. R., editor, Sabin, A. B., editor, Sachs, L., editor, Saxén, E. A., editor, Schmidt, C. G., editor, Spiegelman, S., editor, Szybalski, W., editor, Tagnon, H., editor, Taylor, R. M., editor, Tissières, A., editor, Uehlinger, E., editor, Wissler, R. W., editor, Rentchnick, P., editor, Bonadonna, Gianni, editor, Mathé, Georges, editor, and Salmon, Sydney E., editor

Published
1979
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42. Temporal preparation for speaking in question-answer sequences

Author

Magyari, L., De Ruiter, J., and Levinson, S.

Subjects
preparation, speech production, timing, Psychology, anticipation, Interactional Foundations of Language, turn-taking, GeneralLiterature_REFERENCE(e.g.,dictionaries,encyclopedias,glossaries), Language & Communication
Abstract

In every-day conversations, the gap between turns of conversational partners is most frequently between 0 and 200 ms. We were interested how speakers achieve such fast transitions. We designed an experiment in which participants listened to pre-recorded questions about images presented on a screen and were asked to answer these questions. We tested whether speakers already prepare their answers while they listen to questions and whether they can prepare for the time of articulation by anticipating when questions end. In the experiment, it was possible to guess the answer at the beginning of the questions in half of the experimental trials. We also manipulated whether it was possible to predict the length of the last word of the questions. The results suggest when listeners know the answer early they start speech production already during the questions. Speakers can also time when to speak by predicting the duration of turns. These temporal predictions can be based on the length of anticipated words and on the overall probability of turn durations.

Published
2017

48. Relay Cost Bounding for Contactless EMV Payments

Author

Chothia, T., Garcia, F.D., De Ruiter, J., Van Den Breekel, J.M., Thompson, M., Böhme, R., Okamoto, T., Mathematics and Computer Science, and Böhme, R.

Subjects
Computer science, business.industry, media_common.quotation_subject, ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS, Cryptography, Payment, Computer security, computer.software_genre, Relay attack, Payment card, law.invention, Payment protocol, Relay, law, Mobile phone, ComputingMethodologies_DOCUMENTANDTEXTPROCESSING, Overhead (computing), Lecture Notes in Computer Science, Smart card, Digital Security, business, computer, media_common
Abstract

This paper looks at relay attacks against contactless payment cards, which could be used to wirelessly pickpocket money from victims. We discuss the two leading contactless EMV payment protocols (Visa’s payWave and MasterCard’s PayPass). Stopping a relay attack against cards using these protocols is hard: either the overhead of the communication is low compared to the (cryptographic) computation by the card or the messages can be cached before they are requested by the terminal. We propose a solution that fits within the EMV Contactless specification to make a payment protocol that is resistant to relay attacks from commercial off-the-shelf devices, such as mobile phones. This solution does not require significant changes to the cards and can easily be added to existing terminals. To prove that our protocol really does stop relay attacks, we develop a new method of automatically checking defences against relay attacks using the applied pi-calculus and the tool ProVerif.

Published
2015
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49. Repeated bouncing of drops on wetting and non-wetting surfaces mediated by a persisting thin air film

Author

de Ruiter, J., Lagraauw, R., van den Ende, Henricus T.M., Mugele, Friedrich Gunther, Physics of Complex Fluids, and Faculty of Science and Technology

Subjects
METIS-308392, IR-93811
Abstract

Submitted for the DFD14 Meeting of The American Physical Society Repeated bouncing of drops on wetting and non-wetting sur- faces mediated by a persisting thin air lm JOLET DE RUITER, RUDY LAGRAAUW, DIRK VAN DEN ENDE, FRIEDER MUGELE, MESA+ Institute for Nanotechnology, University of Twente — Liquid drops impinging onto solid surfaces undergo a variety of impact scenarios such as splashing, sticking, and bouncing, depending on impact conditions and substrate properties. Bouncing requires efficient conversion of initial kinetic energy into surface energy and back into kinetic energy. This process is believed to be limited to non-wetting, in particular superhydrophobic surfaces, for which viscous dissipation during drop-substrate contact is minimal. Here, we report a novel bouncing mechanism that applies equally to non-wetting and wetting systems for flat surfaces with contact angles down to 10 degrees. For initial impact speeds up to about 0.5 m/s we demonstrate using dual wavelength interferometry that aqueous and non-aqueous drops remain separated from the substrate by air films of (sub)micrometer thickness at all times throughout a series of up to 16 consecutive bouncing events. We show that the purely dissipative force arising from the viscous squeeze-out of air is responsible for both the momentum transfer and for a substantial part of the residual energy dissipation. Jolet de Ruiter MESA+ Institute for Nanotechnology, University of Twente Date submitted: 31 Jul 2014 Electronic form version 1.4

Published
2014

50. Bouncing on thin air

Author

de Ruiter, J., Lagraauw, R., van den Ende, Henricus T.M., Mugele, Friedrich Gunther, and Physics of Complex Fluids

Subjects
METIS-308243
Published
2014

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