NetwoRx specifications

Information


Unique identifier OMICS_21112
Name NetwoRx
Alternative name Connecting Drugs to Networks and Phenotypes in Saccharomyces Cerevisiae
Restrictions to use Academic or non-commercial use
Community driven No
Data access File download, Browse
User data submission Not allowed
Version 1.0.2
Maintained Yes

Maintainer


  • person_outline Igor Jurisica

Publication for Connecting Drugs to Networks and Phenotypes in Saccharomyces Cerevisiae

NetwoRx citation

library_books

Consistency Analysis of Genome Scale Models of Bacterial Metabolism: A Metamodel Approach

2015
PLoS One
PMCID: 4668087
PMID: 26629901
DOI: 10.1371/journal.pone.0143626

[…] ysis was performed using the python-based toolbox COBRApy []. LP and MILP problems were solved using the Gurobi Solver [] accessed through COBRApy. Graph algorithms were accessed through Python-based NetworX library []. Graphs were draw using the yEd Graph Editor []. Computations were done on a desktop computer with an Intel® Core™ i7 CPU 950 processor, with 23.5 GiB, running under Fedora 17 Linux […]

NetwoRx institution(s)
Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada; Ontario Cancer Institute, The Campbell Family Institute for Cancer Research, and Techna Institute, University Health Network, Toronto, ON, Canada; Department of Computer Science, University of Toronto, Toronto, ON, Canada
NetwoRx funding source(s)
Ontario Research Fund [GL2-01-030 and RE-03-020]; Canada Institutes for Health Research [BIO-99745]; Canada Foundation for Innovation [CFI 12301, 203373, 29272 and 225404]; Canada Research Chair Program; and the Ontario Ministry of Health and Long-term Care.

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