Community standards to facilitate development and address challenges in metabolic modeling-Reference-Cited by-同舟云学术

Community standards to facilitate development and address challenges in metabolic modeling

Published:2020-08 Issue:8 Volume:16 Page:
ISSN:1744-4292
Container-title:Molecular Systems Biology
language:en
Short-container-title:Mol Syst Biol

Author:

Carey Maureen A¹^ORCID,Dräger Andreas²³⁴^ORCID,Beber Moritz E⁵^ORCID,Papin Jason A¹⁶^ORCID,Yurkovich James T⁷^ORCID

Affiliation:

1. Division of Infectious Diseases and International Health Department of Medicine University of Virginia Charlottesville VA USA

2. Computational Systems Biology of Infection and Antimicrobial‐Resistant Pathogens Institute for Biomedical Informatics (IBMI) University of Tübingen Tübingen Germany

3. Department of Computer Science University of Tübingen Tübingen Germany

4. German Center for Infection Research (DZIF), partner site Tübingen Tübingen Germany

5. Novo Nordisk Foundation Center for Biosustainability Technical University of Denmark Kemitorvet Denmark

6. Department of Biomedical Engineering University of Virginia Charlottesville VA USA

7. Institute for Systems Biology Seattle WA USA

Funder

Pharmaceutical Research and Manufacturers of America Foundation

National Center for Complementary and Integrative Health

National Institute of General Medical Sciences

Publisher

EMBO

Subject

Applied Mathematics,Computational Theory and Mathematics,General Agricultural and Biological Sciences,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,Information Systems

Link

https://onlinelibrary.wiley.com/doi/pdf/10.15252/msb.20199235

Reference22 articles.

1. COMBINE archive and OMEX format: one file to share all information to reproduce a modeling project

2. Novel Plasmodium falciparum metabolic network reconstruction identifies shifts associated with clinical antimalarial resistance

3. Improving Collaboration by Standardization Efforts in Systems Biology

4. COBRApy: COnstraints-Based Reconstruction and Analysis for Python

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