Dmitri Papatsenko1, Ihor R Lemischka2. 1. Department of Regenerative and Developmental Biology, Black Family Stem Cell Institute andDepartment of Pharmacology and System Therapeutics, Icahn School of Medicine at Mount Sinai, Systems Biology Center New York, One Gustave L. Levy Place, New York, NY 10029, USA Department of Regenerative and Developmental Biology, Black Family Stem Cell Institute andDepartment of Pharmacology and System Therapeutics, Icahn School of Medicine at Mount Sinai, Systems Biology Center New York, One Gustave L. Levy Place, New York, NY 10029, USA. 2. Department of Regenerative and Developmental Biology, Black Family Stem Cell Institute andDepartment of Pharmacology and System Therapeutics, Icahn School of Medicine at Mount Sinai, Systems Biology Center New York, One Gustave L. Levy Place, New York, NY 10029, USA Department of Regenerative and Developmental Biology, Black Family Stem Cell Institute andDepartment of Pharmacology and System Therapeutics, Icahn School of Medicine at Mount Sinai, Systems Biology Center New York, One Gustave L. Levy Place, New York, NY 10029, USA Department of Regenerative and Developmental Biology, Black Family Stem Cell Institute andDepartment of Pharmacology and System Therapeutics, Icahn School of Medicine at Mount Sinai, Systems Biology Center New York, One Gustave L. Levy Place, New York, NY 10029, USA.
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.
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.
Authors: Rong Lu; Florian Markowetz; Richard D Unwin; Jeffrey T Leek; Edoardo M Airoldi; Ben D MacArthur; Alexander Lachmann; Roye Rozov; Avi Ma'ayan; Laurie A Boyer; Olga G Troyanskaya; Anthony D Whetton; Ihor R Lemischka Journal: Nature Date: 2009-11-19 Impact factor: 49.962
Authors: Jesse Stricker; Scott Cookson; Matthew R Bennett; William H Mather; Lev S Tsimring; Jeff Hasty Journal: Nature Date: 2008-10-29 Impact factor: 49.962
Authors: Dmitri Papatsenko; Henia Darr; Ivan V Kulakovskiy; Avinash Waghray; Vsevolod J Makeev; Ben D MacArthur; Ihor R Lemischka Journal: Stem Cell Reports Date: 2015-08-11 Impact factor: 7.765