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107 Publications visible to you, out of a total of 107

Abstract

This is the final version of the Recommendations and Guidelines from the RDA COVID19 Working Group, and has been endorsed through the official RDA process.

Author: RDA COVID-19 Working Group

Date Published: 28th May 2020

Publication Type: Manual

Abstract (Expand)

These are the conference proceedings of COMBINE 2019, the 10th Computational Modeling in Biology Network (COMBINE) meeting that took place in Heidelberg (Germany) from July 15th to July 19th, 2019. Thee Computational Modeling in Biology Network (COMBINE) is an initiative to coordinate the development of the various community standards and formats for computational models in the life sciences. It was created in 2010 to enable the sharing of resources, tools, and other infrastructure, and to coordinate standardization efforts for modeling in biology. COMBINE brings standard communities together around activities that are mutually beneficial. These activities include making specification documents available from a common location, providing a central point of contact, and organizing regular face-to-face meetings. To this end, the COMBINE network organizes an annual conference style meeting (the COMBINE Forum) and annual hackathon style events called HARMONY (Hackathon on Resources for Modeling in Biology), as well as tutorials and training events. At COMBINE 2019 a combination of keynote lectures, invited talks and interactive breakout discussions, as well as contributed talks, posters and lightning talks, selected from submitted abstracts, provided the basis for the meeting, offering diverse formats to exchange information, to discuss and work on interoperability problems and to demonstrate support for standards implemented in modelling tools, platforms and databases. One special focus of COMBINE 2019 was on the standardization need in systems medicine, which has been recognized as a necessity for computer-assisted personalized medicine. To direct attention to this topic, the European standardization framework for data integration and data-driven in silico models (EUSTANDS4PM) organized a workshop as part of COMBINE 2019. Also, reproducibility in modelling was a main topic, as reflected by several sessions and workshops. Besides these focus themes, also sessions, workshops and breakout discussions around single standards, their further development and their interoperability helped to advance the standardization, standing in the tradition of COMBINE.

Authors: Martin Golebiewski, Dagmar Waltemath

Date Published: 15th Jul 2019

Publication Type: Proceedings

Abstract

Not specified

Authors: Falk Schreiber, Björn Sommer, Gary D. Bader, Padraig Gleeson, Martin Golebiewski, Michael Hucka, Sarah M. Keating, Matthias König, Chris Myers, David Nickerson, Dagmar Waltemath

Date Published: 26th Jun 2019

Publication Type: Journal

Abstract

Not specified

Authors: Susanna-Assunta Sansone, Peter McQuilton, Philippe Rocca-Serra, Alejandra Gonzalez-Beltran, Massimiliano Izzo, Allyson L. Lister, Milo Thurston

Date Published: 1st Apr 2019

Publication Type: Journal

Abstract

Not specified

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

Date Published: 1st Mar 2019

Publication Type: Journal

Abstract

Not specified

Authors: Natalie J. Stanford, Martin Scharm, Paul D. Dobson, Martin Golebiewski, Michael Hucka, Varun B. Kothamachu, David Nickerson, Stuart Owen, Jürgen Pahle, Ulrike Wittig, Dagmar Waltemath, Carole Goble, Pedro Mendes, Jacky Snoep

Date Published: 2019

Publication Type: InBook

Abstract (Expand)

Data standards support the reliable exchange of information, the interoperability of tools, and the reproducibility of scientific results. In systems biology standards are agreed ways of structuring, describing, and associating models and data, as well as their respective parts, graphical visualization, and information about applied experimental or computational methods. Such standards also assist with describing how constituent parts interact together, or are linked, and how they are embedded in their environmental and experimental context. Here the focus will be on standards for formatting models and their content, and on metadata checklists and ontologies that support modeling.

Author: Martin Golebiewski

Date Published: 2019

Publication Type: Journal

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