Published December 2017 | Version public
Book Section - Chapter

A brief history of COMBINE

  • 1. ROR icon University of Utah
  • 2. ROR icon University of Toronto
  • 3. ROR icon University College London
  • 4. ROR icon Heidelberg Institute for Theoretical Studies
  • 5. ROR icon California Institute of Technology
  • 6. ROR icon Babraham Institute
  • 7. ROR icon University of Auckland
  • 8. ROR icon University of Konstanz
  • 9. ROR icon University of Rostock

Abstract

Standards for data exchange are critical to the development of any field. They enable researchers and practitioners to transport information reliably, to apply a variety of tools to their problems, and to reproduce scientific results. Over the past two decades, a range of standards have been developed to facilitate the exchange and reuse of information in the domain of representation and modeling of biological systems. These standards are complementary, so the interactions between their developers increased over time. By the end of the last decade, the community of researchers decided that more interoperability is required between the standards, and that common development is needed to make better use of effort, time, and money devoted to this activity. The COmputational MOdeling in Biology NEtwork (COMBINE) was created to enable the sharing of resources, tools, and other infrastructure. This paper provides a brief history of this endeavor and the challenges that remain.

Additional Information

© 2017 IEEE. CM is supported by the National Science Foundation under Grant No. CCF-1218095 and DBI-1356041. MH is supported by NIGMS award R01070923. GDB is supported by NHGRI award U41HG006623. NLN is supported by BBSRC grant BB/P013384/1. DPN is supported by the Aotearoa Foundation and NIGMS award P50-GM094503. MG is supported by the German Federal Ministry of Education and Research (BMBF) through the Liver Systems Medicine (LiSyM) project and was also supported by the German Federal Ministry for Economic Affairs and Energy (BMWi) through the NormSys project (FKZ 01FS14019). Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the NSF or our other funding agencies.

Additional details

Identifiers

Eprint ID
86428
DOI
10.1109/WSC.2017.8247840
Resolver ID
CaltechAUTHORS:20180516-143900255

Related works

Funding

NSF
CCF-1218095
NSF
DBI-1356041
NIH
R01070923
NIH
U41HG006623
Biotechnology and Biological Sciences Research Council (BBSRC)
BB/P013384/1
Aotearoa Foundation
NIH
P50-GM094503
Bundesministerium für Bildung und Forschung (BMBF)
Bundesministerium für Wirtschaft und Energie (BMWi)
FKZ 01FS14019
National Human Genome Research Institute

Dates

Created
2018-05-18
Created from EPrint's datestamp field
Updated
2021-11-15
Created from EPrint's last_modified field