Browsing Bergen Open Research Archive by Author "Patoliya, Drashti"

Now showing items 1-2 of 2

    • 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 ...

    • EDAM: the bioscientific data analysis ontology (update 2021) [version 1; not peer reviewed] 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. ...