GraphSpace: stimulating interdisciplinary collaborations in network biology

Author:

Bharadwaj Aditya1,Singh Divit P1,Ritz Anna2,Tegge Allison N13,Poirel Christopher L4,Kraikivski Pavel5,Adames Neil6,Luther Kurt17,Kale Shiv D8,Peccoud Jean6,Tyson John J5,Murali T M19

Affiliation:

1. Department of Computer Science, Virginia Tech, Blacksburg, VA, USA

2. Biology Department, Reed College, Portland, OR, USA

3. Department of Statistics, Virginia Tech, Blacksburg, VA, USA

4. RedOwl Analytics, Baltimore, MD, USA

5. Department of Biological Sciences, Virginia Tech, Blacksburg, VA, USA

6. Department of Chemical and Biological Engineering, Colorado State University, Fort Collins, CO, USA

7. Center for Human-Computer Interaction, Virginia Tech, Blacksburg, VA, USA

8. Biocomplexity Institute, Virginia Tech, Blacksburg, VA, USA

9. ICTAS Centre for Systems Biology of Engineered Tissues, Virginia Tech, Blacksburg, VA, USA

Funder

National Science Foundation

Environmental Protection Agency

M. J. Murdock Charitable Trust

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

Reference6 articles.

1. Cytoscape.js: a graph theory library for visualisation and analysis;Franz;Bioinformatics,2015

2. From START to FINISH: computational analysis of cell cycle control in budding yeast;Kraikivski;NPJ Syst. Biol. Appl,2015

3. Top-down network analysis to drive bottom-up modeling of physiological processes;Poirel;J. Comput. Biol,2013

4. NDEx, the network data exchange;Pratt;Cell Syst,2015

5. Pathways on demand: Automated reconstruction of human signaling networks;Ritz;NPJ Syst. Biol. Appl,2016

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