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175 results on '"Michael Hucka"'

1. Nine best practices for research software registries and repositories

Author

Daniel Garijo, Hervé Ménager, Lorraine Hwang, Ana Trisovic, Michael Hucka, Thomas Morrell, Alice Allen, Task Force on Best Practices for Software Registries, and SciCodes Consortium

Subjects
Best practices, Research software repository, Research software registry, Software metadata, Repository policies, Research software registry guidelines, Electronic computers. Computer science, QA75.5-76.95
Abstract

Scientific software registries and repositories improve software findability and research transparency, provide information for software citations, and foster preservation of computational methods in a wide range of disciplines. Registries and repositories play a critical role by supporting research reproducibility and replicability, but developing them takes effort and few guidelines are available to help prospective creators of these resources. To address this need, the FORCE11 Software Citation Implementation Working Group convened a Task Force to distill the experiences of the managers of existing resources in setting expectations for all stakeholders. In this article, we describe the resultant best practices which include defining the scope, policies, and rules that govern individual registries and repositories, along with the background, examples, and collaborative work that went into their development. We believe that establishing specific policies such as those presented here will help other scientific software registries and repositories better serve their users and their disciplines.

Published
2022
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2. SBML Level 3: an extensible format for the exchange and reuse of biological models

Author

Sarah M Keating, Dagmar Waltemath, Matthias König, Fengkai Zhang, Andreas Dräger, Claudine Chaouiya, Frank T Bergmann, Andrew Finney, Colin S Gillespie, Tomáš Helikar, Stefan Hoops, Rahuman S Malik‐Sheriff, Stuart L Moodie, Ion I Moraru, Chris J Myers, Aurélien Naldi, Brett G Olivier, Sven Sahle, James C Schaff, Lucian P Smith, Maciej J Swat, Denis Thieffry, Leandro Watanabe, Darren J Wilkinson, Michael L Blinov, Kimberly Begley, James R Faeder, Harold F Gómez, Thomas M Hamm, Yuichiro Inagaki, Wolfram Liebermeister, Allyson L Lister, Daniel Lucio, Eric Mjolsness, Carole J Proctor, Karthik Raman, Nicolas Rodriguez, Clifford A Shaffer, Bruce E Shapiro, Joerg Stelling, Neil Swainston, Naoki Tanimura, John Wagner, Martin Meier‐Schellersheim, Herbert M Sauro, Bernhard Palsson, Hamid Bolouri, Hiroaki Kitano, Akira Funahashi, Henning Hermjakob, John C Doyle, Michael Hucka, SBML Level 3 Community members, Richard R Adams, Nicholas A Allen, Bastian R Angermann, Marco Antoniotti, Gary D Bader, Jan Červený, Mélanie Courtot, Chris D Cox, Piero Dalle Pezze, Emek Demir, William S Denney, Harish Dharuri, Julien Dorier, Dirk Drasdo, Ali Ebrahim, Johannes Eichner, Johan Elf, Lukas Endler, Chris T Evelo, Christoph Flamm, Ronan MT Fleming, Martina Fröhlich, Mihai Glont, Emanuel Gonçalves, Martin Golebiewski, Hovakim Grabski, Alex Gutteridge, Damon Hachmeister, Leonard A Harris, Benjamin D Heavner, Ron Henkel, William S Hlavacek, Bin Hu, Daniel R Hyduke, Hidde de Jong, Nick Juty, Peter D Karp, Jonathan R Karr, Douglas B Kell, Roland Keller, Ilya Kiselev, Steffen Klamt, Edda Klipp, Christian Knüpfer, Fedor Kolpakov, Falko Krause, Martina Kutmon, Camille Laibe, Conor Lawless, Lu Li, Leslie M Loew, Rainer Machne, Yukiko Matsuoka, Pedro Mendes, Huaiyu Mi, Florian Mittag, Pedro T Monteiro, Kedar Nath Natarajan, Poul MF Nielsen, Tramy Nguyen, Alida Palmisano, Jean‐Baptiste Pettit, Thomas Pfau, Robert D Phair, Tomas Radivoyevitch, Johann M Rohwer, Oliver A Ruebenacker, Julio Saez‐Rodriguez, Martin Scharm, Henning Schmidt, Falk Schreiber, Michael Schubert, Roman Schulte, Stuart C Sealfon, Kieran Smallbone, Sylvain Soliman, Melanie I Stefan, Devin P Sullivan, Koichi Takahashi, Bas Teusink, David Tolnay, Ibrahim Vazirabad, Axel von Kamp, Ulrike Wittig, Clemens Wrzodek, Finja Wrzodek, Ioannis Xenarios, Anna Zhukova, and Jeremy Zucker

Subjects
computational modeling, file format, interoperability, reproducibility, systems biology, Biology (General), QH301-705.5, Medicine (General), R5-920
Abstract

Abstract Systems biology has experienced dramatic growth in the number, size, and complexity of computational models. To reproduce simulation results and reuse models, researchers must exchange unambiguous model descriptions. We review the latest edition of the Systems Biology Markup Language (SBML), a format designed for this purpose. A community of modelers and software authors developed SBML Level 3 over the past decade. Its modular form consists of a core suited to representing reaction‐based models and packages that extend the core with features suited to other model types including constraint‐based models, reaction‐diffusion models, logical network models, and rule‐based models. The format leverages two decades of SBML and a rich software ecosystem that transformed how systems biologists build and interact with models. More recently, the rise of multiscale models of whole cells and organs, and new data sources such as single‐cell measurements and live imaging, has precipitated new ways of integrating data with models. We provide our perspectives on the challenges presented by these developments and how SBML Level 3 provides the foundation needed to support this evolution.

Published
2020
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3. SBMLPkgSpec: a LaTeX style file for SBML package specification documents

Author

Michael Hucka

Subjects
SBML, XML, Data formats, Software, Simulation, Systems biology, Medicine, Biology (General), QH301-705.5, Science (General), Q1-390
Abstract

Abstract Objective The Systems Biology Markup Language (SBML) is a popular open format for storing and exchanging computational models in biology. The definition of SBML is captured in formal specification documents. SBMLPkgSpec is a LaTeX document style intended to fill the need for a standard format for writing such specification documents. Results Specification documents for SBML Level 3 extensions (known as packages in SBML) are made more uniform with the use of a standard template. SBMLPkgSpec is a LaTeX class that provides a document framework for SBML Level 3 package specifications, to simplify the work of document authors while improving the overall quality of the family of SBML specifications.

Published
2017
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4. Do genome‐scale models need exact solvers or clearer standards?

Author

Ali Ebrahim, Eivind Almaas, Eugen Bauer, Aarash Bordbar, Anthony P Burgard, Roger L Chang, Andreas Dräger, Iman Famili, Adam M Feist, Ronan MT Fleming, Stephen S Fong, Vassily Hatzimanikatis, Markus J Herrgård, Allen Holder, Michael Hucka, Daniel Hyduke, Neema Jamshidi, Sang Yup Lee, Nicolas Le Novère, Joshua A Lerman, Nathan E Lewis, Ding Ma, Radhakrishnan Mahadevan, Costas Maranas, Harish Nagarajan, Ali Navid, Jens Nielsen, Lars K Nielsen, Juan Nogales, Alberto Noronha, Csaba Pal, Bernhard O Palsson, Jason A Papin, Kiran R Patil, Nathan D Price, Jennifer L Reed, Michael Saunders, Ryan S Senger, Nikolaus Sonnenschein, Yuekai Sun, and Ines Thiele

Subjects
Biology (General), QH301-705.5, Medicine (General), R5-920
Abstract

Graphical Abstract Recent results obtained by Chindelevitch et al (2014) are challenged by Ebrahim et al, illustrating several issues in the reproducibility of computational biology methods.

Published
2015
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5. Controlled vocabularies and semantics in systems biology

Author

Mélanie Courtot, Nick Juty, Christian Knüpfer, Dagmar Waltemath, Anna Zhukova, Andreas Dräger, Michel Dumontier, Andrew Finney, Martin Golebiewski, Janna Hastings, Stefan Hoops, Sarah Keating, Douglas B Kell, Samuel Kerrien, James Lawson, Allyson Lister, James Lu, Rainer Machne, Pedro Mendes, Matthew Pocock, Nicolas Rodriguez, Alice Villeger, Darren J Wilkinson, Sarala Wimalaratne, Camille Laibe, Michael Hucka, and Nicolas Le Novère

Subjects
dynamics, kinetics, model, ontology, simulation, Biology (General), QH301-705.5, Medicine (General), R5-920
Abstract

Abstract The use of computational modeling to describe and analyze biological systems is at the heart of systems biology. Model structures, simulation descriptions and numerical results can be encoded in structured formats, but there is an increasing need to provide an additional semantic layer. Semantic information adds meaning to components of structured descriptions to help identify and interpret them unambiguously. Ontologies are one of the tools frequently used for this purpose. We describe here three ontologies created specifically to address the needs of the systems biology community. The Systems Biology Ontology (SBO) provides semantic information about the model components. The Kinetic Simulation Algorithm Ontology (KiSAO) supplies information about existing algorithms available for the simulation of systems biology models, their characterization and interrelationships. The Terminology for the Description of Dynamics (TEDDY) categorizes dynamical features of the simulation results and general systems behavior. The provision of semantic information extends a model's longevity and facilitates its reuse. It provides useful insight into the biology of modeled processes, and may be used to make informed decisions on subsequent simulation experiments.

Published
2011
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6. Correction to: Meeting report from the fourth meeting of the Computational Modeling in Biology Network (COMBINE)

Author

Dagmar Waltemath, Frank T. Bergmann, Claudine Chaouiya, Tobias Czauderna, Padraig Gleeson, Carole Goble, Martin Golebiewski, Michael Hucka, Nick Juty, Olga Krebs, Nicolas Le Novère, Huaiyu Mi, Ion I. Moraru, Chris J. Myers, David Nickerson, Brett G. Olivier, Nicolas Rodriguez, Falk Schreiber, Lucian Smith, Fengkai Zhang, and Eric Bonnet

Subjects
Genetics, QH426-470
Abstract

Following publication of the original article [1], the author requested this addition to the ‘Acknowledgements’ section of the article: “DW is funded by the German Federal Ministry of Education and Research (e: Bio program SEMS, FKZ 031 6194)”.

Published
2018
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7. Minimum Information About a Simulation Experiment (MIASE).

Author

Dagmar Waltemath, Richard Adams, Daniel A Beard, Frank T Bergmann, Upinder S Bhalla, Randall Britten, Vijayalakshmi Chelliah, Michael T Cooling, Jonathan Cooper, Edmund J Crampin, Alan Garny, Stefan Hoops, Michael Hucka, Peter Hunter, Edda Klipp, Camille Laibe, Andrew K Miller, Ion Moraru, David Nickerson, Poul Nielsen, Macha Nikolski, Sven Sahle, Herbert M Sauro, Henning Schmidt, Jacky L Snoep, Dominic Tolle, Olaf Wolkenhauer, and Nicolas Le Novère

Subjects
Biology (General), QH301-705.5
Published
2011
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9. BioModels - 15 years of sharing computational models in life science.

Author

Rahuman S. Malik-Sheriff, Mihai Glont, Tung V. N. Nguyen, Krishan K. Tiwari, Matthew G. Roberts, Ashley Xavier, Manh T. Vu, Jinghao Men, Matthieu Maire, Sarubini Kananathan, Emma L. Fairbanks, Johannes P. Meyer, Chinmay Arankalle, Thawfeek M. Varusai, Vincent Knight-Schrijver, Lu Li 0002, Corina Dueñas-Roca, Gaurhari Dass, Sarah M. Keating, Young Mi Park, Nicola Buso, Nicolas Rodriguez 0001, Michael Hucka, and Henning Hermjakob

Published
2020
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11. Harmonizing semantic annotations for computational models in biology.

Author

Maxwell Lewis Neal, Matthias König 0003, David P. Nickerson, Goksel Misirli, Reza Kalbasi, Andreas Dräger, Koray Atalag, Vijayalakshmi Chelliah, Michael T. Cooling, Daniel L. Cook, Sharon M. Crook, Miguel de Alba, Samuel H. Friedman, Alan Garny, John H. Gennari, Padraig Gleeson, Martin Golebiewski, Michael Hucka, Nick S. Juty, Chris J. Myers, Brett G. Olivier, Herbert M. Sauro, Martin Scharm, Jacky L. Snoep, Vasundra Touré, Anil Wipat, Olaf Wolkenhauer, and Dagmar Waltemath

Published
2019
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12. A brief history of COMBINE.

Author

Chris J. Myers, Gary D. Bader, Padraig Gleeson, Martin Golebiewski, Michael Hucka, Nicolas Le Novère, David P. Nickerson, Falk Schreiber, and Dagmar Waltemath

Published
2017
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14. Nine Best Practices for Research Software Registries and Repositories: A Concise Guide.

Author

Alain Monteil, Alejandra N. González-Beltrán, Alexandros Ioannidis, Alice Allen, Allen Lee, Anita E. Bandrowski, Bruce E. Wilson, Bryce D. Mecum, Caifan Du, Carly Robinson, Daniel Garijo, Daniel S. Katz, David Long, Genevieve Milliken, Hervé Ménager, Jessica Hausman, Jurriaan H. Spaaks, Katrina Fenlon, Kristin Vanderbilt, Lorraine J. Hwang, Lynn Davis, Martin Fenner, Michael R. Crusoe, Michael Hucka, Mingfang Wu, Neil P. Chue Hong, Peter J. Teuben, Shelley Stall, Stephan Druskat, Ted Carnevale, and Thomas Morrell

Published
2020

17. The first 10 years of the international coordination network for standards in systems and synthetic biology (COMBINE).

Author

Dagmar Waltemath, Martin Golebiewski, Michael L. Blinov, Padraig Gleeson, Henning Hermjakob, Michael Hucka, Esther Thea Inau, Sarah M. Keating, Matthias König 0003, Olga Krebs, Rahuman S. Malik-Sheriff, David P. Nickerson, Ernst Oberortner, Herbert M. Sauro, Falk Schreiber, Lucian P. Smith, Melanie I. Stefan, Ulrike Wittig, and Chris J. Myers

Published
2020
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21. Specifications of standards in systems and synthetic biology: status and developments in 2022 and the COMBINE meeting 2022

Author

Matthias König, Padraig Gleeson, Martin Golebiewski, Thomas E. Gorochowski, Michael Hucka, Sarah M. Keating, Chris J. Myers, David P. Nickerson, Björn Sommer, Dagmar Waltemath, and Falk Schreiber

Subjects
General Medicine
Abstract

This special issue of the Journal of Integrative Bioinformatics contains updated specifications of COMBINE standards in systems and synthetic biology. The 2022 special issue presents three updates to the standards: CellML 2.0.1, SBML Level 3 Package: Spatial Processes, Version 1, Release 1, and Synthetic Biology Open Language (SBOL) Version 3.1.0. This document can also be used to identify the latest specifications for all COMBINE standards. In addition, this editorial provides a brief overview of the COMBINE 2022 meeting in Berlin.

Published
2023

22. Toward Community Standards and Software for Whole-Cell Modeling.

Author

Dagmar Waltemath, Jonathan R. Karr, Frank T. Bergmann, Vijayalakshmi Chelliah, Michael Hucka, Marcus Krantz, Wolfram Liebermeister, Pedro Mendes 0001, Chris J. Myers, Pinar Pir, Begum Alaybeyoglu, Naveen K. Aranganathan, Kambiz Baghalian, Arne T. Bittig, Paulo E. Pinto Burke, Matteo Cantarelli, Yin Hoon Chew, Rafael S. Costa, Joseph Cursons, Tobias Czauderna, Arthur P. Goldberg, Harold F. Gómez, Jens Hahn, Tuure Hameri, Daniel F. Hernandez Gardiol, Denis Kazakiewicz, Ilya Kiselev, Vincent Knight-Schrijver, Christian Knüpfer, Matthias König 0003, Daewon Lee, Audald Lloret-Villas, Nikita Mandrik, J. Kyle Medley, Bertrand Moreau, Hojjat Naderi-Meshkin, Sucheendra K. Palaniappan, Daniel Priego-Espinosa, Martin Scharm, Mahesh Sharma, Kieran Smallbone, Natalie J. Stanford, Je-Hoon Song, Tom Theile, Milenko Tokic, Namrata Tomar, Vasundra Touré, Jannis Uhlendorf, Thawfeek M. Varusai, Leandro H. Watanabe, Florian Wendland, Markus Wolfien, James T. Yurkovich, Yan Zhu 0006, Argyris Zardilis, Anna Zhukova, and Falk Schreiber

Published
2016
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27. JSBML 1.0: providing a smorgasbord of options to encode systems biology models.

Author

Nicolas Rodriguez 0001, Alex Thomas, Leandro H. Watanabe, Ibrahim Y. Vazirabad, Victor Kofia, Harold F. Gómez, Florian Mittag, Jakob Matthes, Jan Rudolph, Finja Wrzodek, Eugen Netz, Alexander Diamantikos, Johannes Eichner, Roland Keller, Clemens Wrzodek, Sebastian Fröhlich, Nathan E. Lewis, Chris J. Myers, Nicolas Le Novère, Bernhard ø. Palsson, Michael Hucka, and Andreas Dräger

Published
2015
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28. BioModels: ten-year anniversary.

Author

Vijayalakshmi Chelliah, Nick S. Juty, Ishan Ajmera, Raza Ali, Marine Dumousseau, Mihai Glont, Michael Hucka, Gaël Jalowicki, Sarah M. Keating, Vincent Knight-Schrijver, Audald Lloret-Villas, Kedar Nath Natarajan, Jean-Baptiste Pettit, Nicolas Rodriguez 0001, Michael Schubert, Sarala M. Wimalaratne, Yangyang Zhao, Henning Hermjakob, Nicolas Le Novère, and Camille Laibe

Published
2015
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34. Ten Simple Rules for FAIR Sharing of Experimental and Clinical Data with the Modeling Community

Author

Jan Grzegorzewski, Martin Golebiewski, Brett G. Olivier, Sarah M. Keating, David P. Nickerson, Henning Hermjakob, Matthias König, Dagmar Waltemath, Michael Hucka, Rahuman S. Malik Sheriff, and Falk Schreiber

Subjects
life_sciences_other, Data sharing, Computer science, Simple (abstract algebra), Data mining, computer.software_genre, computer
Abstract

Science continues to become more interdisciplinary and to involve increasingly complex data sets. Many projects in the biomedical and health-related sciences follow or aim to follow the principles of FAIR data sharing, which has been demonstrated to foster collaboration, to lead to better research outcomes, and to help ensure reproducibility of results. Data generated in the course of biomedical and health research present specific challenges for FAIR sharing in the sense that they are heterogeneous and highly sensitive to context and the needs of protection and privacy. Data sharing must respect these features without impeding timely dissemination of results, so that they can contribute to time-critical advances in medical therapy and treatment. Modeling and simulation of biomedical processes have become established tools, and a global community has been developing algorithms, methodologies, and standards for applying biomedical simulation models in clinical research. However, it can be difficult for clinician scientists to follow the specific rules and recommendations for FAIR data sharing within this domain. We seek to clarify the standard workflow for sharing experimental and clinical data with the simulation modeling community. By following these recommendations, data sharing will be improved, collaborations will become more effective, and the FAIR publication and subsequent reuse of data will become possible at the level of quality necessary to support biomedical and health-related sciences.

Published
2021
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35. The systems biology markup language (SBML): a medium for representation and exchange of biochemical network models.

Author

Michael Hucka, Andrew Finney, Herbert M. Sauro, H. Bolouri, John C. Doyle 0001, Hiroaki Kitano, Adam P. Arkin, Benjamin J. Bornstein, Dennis Bray, Athel Cornish-Bowden, Autumn A. Cuellar, Serge Dronov, Ernst Dieter Gilles, Martin Ginkel, Victoria Gor, Igor Goryanin, W. J. Hedley, T. Charles Hodgman, Jan-Hendrik S. Hofmeyr, Peter J. Hunter, Nick S. Juty, J. L. Kasberger, Andreas Kremling, Ursula Kummer, Nicolas Le Novère, Leslie M. Loew, D. Lucio, Pedro Mendes 0001, E. Minch, Eric Mjolsness, Yoichi Nakayama, M. R. Nelson, Poul M. F. Nielsen, T. Sakurada, James C. Schaff, Bruce E. Shapiro, Thomas Simon Shimizu, Hugh D. Spence, Jörg Stelling, Koichi Takahashi, Masaru Tomita, J. Wagner, and J. Wang

Published
2003
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43. Nine best practices for research software registries and repositories

Author

Daniel, Garijo, Hervé, Ménager, Lorraine, Hwang, Ana, Trisovic, Michael, Hucka, Thomas, Morrell, and Alice, Allen

Subjects
General Computer Science
Abstract

Scientific software registries and repositories improve software findability and research transparency, provide information for software citations, and foster preservation of computational methods in a wide range of disciplines. Registries and repositories play a critical role by supporting research reproducibility and replicability, but developing them takes effort and few guidelines are available to help prospective creators of these resources. To address this need, the FORCE11 Software Citation Implementation Working Group convened a Task Force to distill the experiences of the managers of existing resources in setting expectations for all stakeholders. In this article, we describe the resultant best practices which include defining the scope, policies, and rules that govern individual registries and repositories, along with the background, examples, and collaborative work that went into their development. We believe that establishing specific policies such as those presented here will help other scientific software registries and repositories better serve their users and their disciplines.

Published
2021

46. The Systems Biology Markup Language (SBML)

Author

Sarah M. Keating, Claudine Chaouiya, Fengkai Zhang, Darren J. Wilkinson, Brett G. Olivier, Rahumann Sheriff, James C. Schaff, Frank Bergmann, Lucian P. Smith, Dagmar Waltemath, Stefan Hoops, Sven Sahle, Andreas Dräger, Michael Hucka, Chris J. Myers, Matthias König, Nicolas Le Novère, California Institute of Technology (CALTECH), Institut de Mathématiques de Marseille (I2M), Aix Marseille Université (AMU)-École Centrale de Marseille (ECM)-Centre National de la Recherche Scientifique (CNRS), Virginia Polytechnic Institute and State University [Blacksburg], European Bioinformatics Institute [Hinxton] (EMBL-EBI), EMBL Heidelberg, Bioquant, Universität Heidelberg [Heidelberg] = Heidelberg University, University of Rostock, Centre National de la Recherche Scientifique (CNRS)-École Centrale de Marseille (ECM)-Aix Marseille Université (AMU), Universität Heidelberg [Heidelberg], Rostock University, Database and Information Systems, Systems Bioinformatics, and AIMMS

Subjects
0301 basic medicine, Standards, Markup language, computer.internet_protocol, Computer science, computer.software_genre, Models, Biological, 03 medical and health sciences, Computer Simulation, Software system, SBML, ComputingMilieux_MISCELLANEOUS, Research Articles, Visualization, Programming language, Systems Biology, [SDV.BBM.MN]Life Sciences [q-bio]/Biochemistry, Molecular Biology/Molecular Networks [q-bio.MN], General Medicine, Systems Biology Markup Language, Data structure, File format, [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation, Systems Biology Markup Language, Standards, Visualization, Representation, Representation, 030104 developmental biology, MathML, Programming language specification, Programming Languages, [INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM], computer, TP248.13-248.65, XML, Biotechnology
Abstract

Computational models can help researchers to interpret data, understand biological functions, and make quantitative predictions. The Systems Biology Markup Language (SBML) is a file format for representing computational models in a declarative form that different software systems can exchange. SBML is oriented towards describing biological processes of the sort common in research on a number of topics, including metabolic pathways, cell signaling pathways, and many others. By supporting SBML as an input/output format, different tools can all operate on an identical representation of a model, removing opportunities for translation errors and assuring a common starting point for analyses and simulations. This document provides the specification for Release 2 of Version 2 of SBML Level 3 Core. The specification defines the data structures prescribed by SBML as well as their encoding in XML, the eXtensible Markup Language. Release 2 corrects some errors and clarifies some ambiguities discovered in Release 1. This specification also defines validation rules that determine the validity of an SBML document, and provides many examples of models in SBML form. Other materials and software are available from the SBML project website at http://sbml.org/.

Published
2019
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50. COMBINE archive: One File To Share Them All.

Author

Frank T. Bergmann, Richard Adams, Stuart L. Moodie, Jonathan Cooper, Mihai Glont, Martin Golebiewski, Michael Hucka, Camille Laibe, Andrew K. Miller, David P. Nickerson, Brett G. Olivier, Nicolas Rodriguez 0001, Herbert M. Sauro, Martin Scharm, Stian Soiland-Reyes, Dagmar Waltemath, Florent Yvon, and Nicolas Le Novère

Published
2014

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