Biology – Quantitative Biology – Quantitative Methods
Scientific paper
2010-11-04
Bioinformatics 26, 2060-2061 (2010)
Biology
Quantitative Biology
Quantitative Methods
16 pages
Scientific paper
Summary: Macromolecular assembly vertebrates essential cellular processes, such as gene regulation and signal transduction. A major challenge for conventional computational methods to study these processes is tackling the exponential increase of the number of configurational states with the number of components. CplexA is a Mathematica package that uses functional programming to efficiently compute probabilities and average properties over such exponentially large number of states from the energetics of the interactions. The package is particularly suited to study gene expression at complex promoters controlled by multiple, local and distal, DNA binding sites for transcription factors. Availability: CplexA is freely available together with documentation at http://sourceforge.net/projects/cplexa/.
Saiz Leonor
Vilar Jose M. G.
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