NET-SYNTHESIS: A software for synthesis, inference and simplification of signal transduction networks

Sema Kachalo, Ranran Zhang, Eduardo Sontag, Réka Albert, Bhaskar DasGupta

Research output: Contribution to journalArticle

29 Scopus citations

Abstract

We present a software for combined synthesis, inference and simplification of signal transduction networks. The main idea of our method lies in representing observed indirect causal relationships as network paths and using techniques from combinatorial optimization to find the sparsest graph consistent with all experimental observations. We illustrate the biological usability of our software by applying it to a previously published signal transduction network and by using it to synthesize and simplify a novel network corresponding to activation-induced cell death in large granular lymphocyte leukemia.

Original languageEnglish (US)
Pages (from-to)293-295
Number of pages3
JournalBioinformatics
Volume24
Issue number2
DOIs
StatePublished - Jan 15 2008

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All Science Journal Classification (ASJC) codes

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

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