• The bio.tools registry of software tools and data resources for the life sciences 

      Ison, Jon; Ienasescu, Hans-Ioan; Chmura, Piotr; Rydza, Emil; Ménager, Hervé; Kalaš, Matúš; Schwämmle, Veit; Grüning, Björn A.; Beard, Niall; Lopez, Rodrigo; Duvaud, Severine; Stockinger, Heinz; Persson, Bengt; Svobodová Vařeková, Radka; Raček, Tomáš; Vondrášek, Jiří; Peterson, Hedi; Salumets, Ahto; Jonassen, Inge; et al., +18 authors (total 37) (Peer reviewed; Journal article, 2019-08-12)
      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 ...
    • BioHackathon series in 2011 and 2012: penetration of ontology and linked data in life science domains 

      Katayama, Toshiaki; Wilkinson, Mark D.; Aoki-Kinoshita, Kiyoko F.; Kawashima, Shuichi; Yamamoto, Yasunori; Yamaguchi, Atsuko; Okamoto, Shinobu; Kawano, Shin; Kim, Jin-Dong; Wang, Yue; Wu, Hongyan; Kano, Yoshinobu; Ono, Hiromasa; Bono, Hidemasa; Kocbek, Simon; Aerts, Jan; Akune, Yukie; Antezana, Erick; Arakawa, Kazuharu; Aranda, Bruno; Baran, Joachim; Bolleman, Jerven; Bonnal, Raoul J. P.; Buttigieg, Pier Luigi; Campbell, Matthew P.; Chen, Yi-an; Chiba, Hirokazu; Cock, Peter J. A.; Cohen, K. Bretonnel; Constantin, Alexandru; Duck, Geraint; Dumontier, Michel; Fujisawa, Takatomo; Fujiwara, Toyofumi; Goto, Naohisa; Hoehndorf, Robert; Igarashi, Yoshinobu; Itaya, Hidetoshi; Ito, Maori; Iwasaki, Wataru; Kalaš, Matúš; Katoda, Takeo; Kim, Taehong; Kokubu, Anna; Komiyama, Yusuke; Kotera, Masaaki; Laibe, Camille; Lapp, Hilmar; Lütteke, Thomas; Marshall, M. Scott; Mori, Takaaki; Mori, Hiroshi; Morita, Mizuki; Murakami, Katsuhiko; Nakao, Mitsuteru; Narimatsu, Hisashi; Nishide, Hiroyo; Nishimura, Yosuke; Nyström-Persson, Johan; Ogishima, Soichi; Okamura, Yasunobu; Okuda, Shujiro; Oshita, Kazuki; Packer, Nicki H; Prins, Pjotr; Ranzinger, Rene; Rocca-Serra, Philippe; Sansone, Susanna; Sawaki, Hiromichi; Shin, Sung-Ho; Splendiani, Andrea; Strozzi, Francesco; Tadaka, Shu; Toukach, Philip; Uchiyama, Ikuo; Umezaki, Masahito; Vos, Rutger; Whetzel, Patricia L.; Yamada, Issaku; Yamasaki, Chisato; Yamashita, Riu; York, William S.; Zmasek, Christian M.; Kawamoto, Shoko; Takagi, Toshihisa (Peer reviewed; Journal article, 2014-02-05)
      Abstract The application of semantic technologies to the integration of biological data and the interoperability of bioinformatics analysis and visualization tools has been the common theme of a series of annual BioHackathons ...
    • Bioimage analysis workflows: community resources to navigate through a complex ecosystem [version 1; peer review: 2 approved] 

      Paul-Gilloteaux, Perrine; Tosi, Sébastien; Hériche, Jean-Karim; Gaignard, Alban; Ménager, Hervé; Marée, Raphaël; Baecker, Volker; Klemm, Anna; Kalaš, Matúš; Zhang, Chong; Miura, Kota; Colombelli, Julien (Journal article; Peer reviewed, 2021)
      Workflows are the keystone of bioimage analysis, and the NEUBIAS (Network of European BioImage AnalystS) community is trying to gather the actors of this field and organize the information around them. One of its most ...
    • BioSimulators: a central registry of simulation engines and services for recommending specific tools 

      Shaikh, Bilal; Smith, Lucian P; Vasilescu, Dan; Marupilla, Gnaneswara; Wilson, Michael; Agmon, Eran; Agnew, Henry; Andrews, Steven S; Anwar, Azraf; Beber, Moritz E; Bergmann, Frank T; Brooks, David; Brusch, Lutz; Calzone, Laurence; Choi, Kiri; Cooper, Joshua; Detloff, John; Drawert, Brian; Dumontier, Michel; Ermentrout, G Bard; Faeder, James R; Freiburger, Andrew P; Fröhlich, Fabian; Funahashi, Akira; Garny, Alan; Gennari, John H; Gleeson, Padraig; Goelzer, Anne; Haiman, Zachary; Hasenauer, Jan; Hellerstein, Joseph L; Hermjakob, Henning; Hoops, Stefan; Ison, Jon C; Jahn, Diego; Jakubowski, Henry V; Jordan, Ryann; Kalaš, Matúš; König, Matthias; Liebermeister, Wolfram; Sheriff, Rahuman S. Malik; Mandal, Synchon; McDougal, Robert; Medley, J Kyle; Mendes, Pedro; Müller, Robert; Myers, Chris J; Naldi, Aurelien; Nguyen, Tung V. N; Nickerson, David P; Olivier, Brett G; Patoliya, Drashti; Paulevé, Loïc; Petzold, Linda R; Priya, Ankita; Rampadarath, Anand K; Rohwer, Johann M; Saglam, Ali S; Singh, Dilawar; Sinha, Ankur; Snoep, Jacky; Sorby, Hugh; Spangler, Ryan; Starruß, Jörn; Thomas, Payton J; Van Niekerk, David; Weindl, Daniel; Zhang, Fengkai; Zhukova, Anna; Goldberg, Arthur P; Schaff, James C; Blinov, Michael L; Sauro, Herbert M; Moraru, Ion I; Karr, Jonathan R (Journal article; Peer reviewed, 2022)
      Computational models have great potential to accelerate bioscience, bioengineering, and medicine. However, it remains challenging to reproduce and reuse simulations, in part, because the numerous formats and methods for ...
    • biotoolsSchema: a formalized schema for bioinformatics software description 

      Ison, Jon; Ienasescu, Hans; Rydza, Emil; Chmura, Piotr; Rapacki, Kristoffer; Gaignard, Alban; Schwämmle, Veit; van Helden, Jacques; Kalaš, Matúš; Ménager, Hervé (Journal article; Peer reviewed, 2021)
      Background Life scientists routinely face massive and heterogeneous data analysis tasks and must find and access the most suitable databases or software in a jungle of web-accessible resources. The diversity of information ...
    • BioXSD: the common data-exchange format for everyday bioinformatics web services 

      Kalaš, Matúš; Puntervoll, Pål; Joseph, Alexandre; Bartaševičiūtė, Edita; Töpfer, Armin; Venkataraman, Prabakar; Pettifer, Steve; Bryne, Jan Christian; Ison, Jon; Blanchet, Christophe; Rapacki, Kristoffer; Jonassen, Inge (Peer reviewed; Journal article, 2010)
      Motivation: The world-wide community of life scientists has access to a large number of public bioinformatics databases and tools, which are developed and deployed using diverse technologies and designs. More and more of ...
    • Community curation of bioinformatics software and data resources 

      Ison, Jon; Ménager, Hervé; Brancotte, Bryan; Jaaniso, Erik; Salumets, Ahto; Raček, Tomáš; Lamprecht, Anna-Lena; Palmblad, Magnus; Kalaš, Matúš; Chmura, Piotr; Hancock, John M; Schwämmle, Veit; Ienasescu, Hans-Ioan (Peer reviewed; Journal article, 2019)
      The corpus of bioinformatics resources is huge and expanding rapidly, presenting life scientists with a growing challenge in selecting tools that fit the desired purpose. To address this, the European Infrastructure for ...
    • Community-driven development for computational biology at Sprints, Hackathons and Codefests 

      Möller, Steffen; Afgan, Enis; Banck, Michael; Bonnal, Raoul J. P.; Booth, Timothy; Chilton, John; Cock, Peter J. A.; Gumbel, Markus; Harris, Nomi; Holland, Richard; Kalaš, Matúš; Kaján, László; Kibukawa, Eri; Powel, David R.; Prins, Pjotr; Quinn, Jacqueline; Sallou, Olivier; Strozzi, Francesco; Seemann, Torsten; Sloggett, Clare; Soiland-Reyes, Stian; Spooner, William; Steinbiss, Sascha; Tille, Andreas; Travis, Anthony J.; Guimera, Roman V.; Katayama, Toshiaki; Chapman, Brad A. (Peer reviewed; Journal article, 2014-11-27)
      Background: Computational biology comprises a wide range of technologies and approaches. Multiple technologies can be combined to create more powerful workflows if the individuals contributing the data or providing tools ...
    • EDAM-bioimaging: the ontology of bioimage informatics operations, topics, data, and formats (update 2020) 

      Kalaš, Matúš; Plantard, Laure; Lindblad, Joakim; Jones, Martin; Sladoje, Nataša; Kirschmann, Moritz A.; Chessel, Anatole; Scholz, Leandro; Rössler, Fabianne; Nicolás Sáenz, Laura; Gómez de Mariscal, Estibaliz; Bogovic, John; Dufour, Alexandre; Heiligenstein, Xavier; Waithe, Dominic; Domart, Marie-Charlotte; Karreman, Matthia; Van de Plas, Raf; Haase, Robert; Hörl, David; Paavolainen, Lassi; Vrhovac Madunić, Ivana; Karaica, Dean; Muñoz-Barrutia, Arrate; Sampaio, Paula; Sage, Daniel; Munck, Sebastian; Golani, Ofra; Moore, Josh; Levet, Florian; Ison, Jon; Gaignard, Alban; Ménager, Hervé; Zhang, Chong; Miura, Kota; Colombelli, Julien; Paul-Gilloteaux, Perrine (Others, 2020)
      EDAM is a well-established ontology of operations, topics, types of data, and data formats that are used in bioinformatics and its neighbouring fields [1,2] . EDAM-bioimaging is an extension of EDAM dedicated to bioimage ...
    • EDAM: an ontology of bioinformatics operations, types of data and identifiers, topics and formats 

      Ison, Jon; Kalaš, Matúš; Jonassen, Inge; Bolser, Dan; Uludag, Mahmut; McWilliam, Hamish; Malone, James; Lopez, Rodrigo; Pettifer, Steve; Rice, Peter (Peer reviewed; Journal article, 2013)
      Motivation: Advancing the search, publication and integration of bioinformatics tools and resources demands consistent machine-understandable descriptions. A comprehensive ontology allowing such descriptions is therefore ...
    • EDAM: the bioscientific data analysis ontology (update 2021) [version 1; not peer reviewed] 

      Black, Melissa; Lamothe, Lucie; Eldakroury, Hager; Kierkegaard, Mads; Priya, Ankita; Machinda, Anne; Singh Khanduja, Uttam; Patoliya, Drashti; Rathi, Rashika; Che Nico, Tawah Peggy; Umutesi, Gloria; Blankenburg, Claudia; Op, Anita; Chieke, Precious; Babatunde, Omodolapo; Laurie, Steve; Neumann, Steffen; Schwämmle, Veit; Kuzmin, Ivan; Hunter, Chris; Karr, Jonathan; Ison, Jon; Gaignard, Alban; Brancotte, Bryan; Ménager, Hervé; Kalaš, Matúš (Others, 2021)
      EDAM [1] is a domain ontology of data analysis and data management in bio- and other sciences, and science-based applications. It comprises concepts related to analysis, modelling, optimisation, and data life-cycle. ...
    • EDAM: the ontology of bioinformatics operations, topics, data, and formats (update 2020) 

      Kalaš, Matúš; Ménager, Hervé; Gaignard, Alban; Schwämmle, Veit; Ison, Jon (Others, 2020)
      Project website: http://edamontology.org Source code: https://github.com/edamontology/edamontology License: CC BY-SA 4.0 EDAM is an ontology of well-established, familiar concepts that are prevalent within bioinformatics, ...
    • Efforts towards accessible and reliable bioinformatics 

      Kalaš, Matúš (Doctoral thesis, 2015-11-19)
      The aim of the presented work was contributing to making scientific computing more accessible, reliable, and thus more efficient for researchers, primarily computational biologists and molecular biologists. Many approaches ...
    • The EMBRACE web service collection 

      Pettifer, Steve; Ison, Jon; Kalaš, Matúš; Thorne, David; McDermott, Philip; Jonassen, Inge; Ali, Liaquat; Fernandez, Jose M; Rodriguez, Jose M; Pisano, David G; Blanchet, Christophe; Uludag, Mahmut; Rice, Peter; Bartaseviciute, Edita; Rapacki, Kristoffer; Hekkelman, Maarten; Sand, Olivier; Stockinger, Heinz; Clegg, Andrew B; Bongcam-Rudloff, Eric; Salzemann, Jean; Breton, Vincent; Attwood, Teresa K; Cameron, Graham; Vriend, Gert (Peer reviewed; Journal article, 2010-05-10)
      The EMBRACE (European Model for Bioinformatics Research and Community Education) web service collection is the culmination of a 5-year project that set out to investigate issues involved in developing and deploying web ...
    • FreeContact: Fast and free software for protein contact prediction from residue co-evolution 

      Kaján, László; Hopf, Thomas A.; Kalaš, Matúš; Marks, Debora S.; Rost, Burkhard (Peer reviewed; Journal article, 2014-03-26)
      Background: 20 years of improved technology and growing sequences now renders residue-residue contact constraints in large protein families through correlated mutations accurate enough to drive de novo predictions of protein ...
    • FreeContact: fast and free software for protein contact prediction from residue co-evolution 

      Kaján, László; Hopf, Thomas A.; Kalaš, Matúš; Marks, Debora S.; Rost, Burkhard (Peer reviewed; Journal article, 2014-03-26)
      Background: 20 years of improved technology and growing sequences now renders residue-residue contact constraints in large protein families through correlated mutations accurate enough to drive de novo predictions of protein ...
    • Galaxy: A Decade of Realising CWFR Concepts 

      Serrano-Solano, Beatriz; Fouilloux, Anne; Eguinoa, Ignacio; Kalaš, Matúš; Grüning, Björn; Coppens, Frederik (Journal article; Peer reviewed, 2022)
      Despite recent encouragement to follow the FAIR principles, the day-to-day research practices have not changed substantially. Due to new developments and the increasing pressure to apply best practices, initiatives to ...
    • The Genomic HyperBrowser: an analysis web server for genome-scale data 

      Sandve, Geir Kjetil; Gundersen, Sveinung; Johansen, Morten; Glad, Ingrid Kristine; Gunathasan, Krishanthi; Holden, Lars; Holden, Marit; Liestøl, Knut; Nygård, Ståle; Nygaard, Vegard; Paulsen, Jonas; Rydbeck, Halfdan; Trengereid, Kai; Clancy, Trevor; Drabløs, Finn; Ferkingstad, Egil; Kalaš, Matúš; Lien, Tonje Gulbrandsen; Rye, Morten Beck; Frigessi, Arnoldo; Hovig, Johannes Eivind (Peer reviewed; Journal article, 2013-04-30)
      The immense increase in availability of genomic scale datasets, such as those provided by the ENCODE and Roadmap Epigenomics projects, presents unprecedented opportunities for individual researchers to pose novel falsifiable ...
    • Identifying elemental genomic track types and representing them uniformly 

      Gundersen, Sveinung; Kalaš, Matúš; Abul, Osman; Frigessi, Arnoldo; Hovig, Eivind; Sandve, Geir Kjetil (Peer reviewed; Journal article, 2011-12-30)
      Background: With the recent advances and availability of various high-throughput sequencing technologies, data on many molecular aspects, such as gene regulation, chromatin dynamics, and the three-dimensional organization ...
    • Norwegian e-Infrastructure for Life Sciences (NeLS) 

      Tekle, Kidane M; Gundersen, Sveinung; Klepper, Kjetil; Bongo, Lars Ailo; Raknes, Inge Alexander; Li, Xiaxi; Zhang, Wei; Andreetta, Christian; Mulugeta, Teshome Dagne; Kalaš, Matúš; Rye, Morten Beck; Hjerde, Erik; Antony Samy, Jeevan Karloss; Fornous, Ghislain; Azab, Abdulrahman; Våge, Dag Inge; Hovig, Eivind; Willassen, Nils Peder; Drabløs, Finn; Nygård, Ståle; Petersen, Kjell; Jonassen, Inge (Peer reviewed; Journal article, 2018)
      The Norwegian e-Infrastructure for Life Sciences (NeLS) has been developed by ELIXIR Norway to provide its users with a system enabling data storage, sharing, and analysis in a project-oriented fashion. The system is ...