AI Article Synopsis
- The study focuses on the importance of analyzing small biological networks, known as network motifs, which typically consist of 3-5 components.
- A software tool called NetExplore has been developed to generate, classify, and analyze these network motifs, allowing for visualization of various solutions.
- NetExplore is available for use online and is implemented using Perl-CGI, with access provided through specific web links.
Article Abstract
Motivation: Quantitative and qualitative assessment of biological data often produces small essential recurrent networks, containing 3-5 components called network motifs. In this context, model solutions for small network motifs represent very high interest.
Results: Software package NetExplore has been created in order to generate, classify and analyze solutions for network motifs including up to six network components. NetExplore allows plotting and visualization of the solution's phase spaces and bifurcation diagrams.
Availability And Implementation: The current version of NetExplore has been implemented in Perl-CGI and is accessible at the following locations: http://line.bioinfolab.net/nex/NetExplore.htm and http://nex.autosome.ru/nex/NetExplore.htm.
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|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4462664 | PMC |
| http://dx.doi.org/10.1093/bioinformatics/btv058 | DOI Listing |
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