CLAIM 20131010 – Coupling Co-expression Data and Protein-protein Interaction Networks for Functional Protein Analysis

CLAIM 20131010

:: DESCRIPTION

CLAIM (CLuster Analysis Integration Method) is a new method for integrating co-expression data obtained through microarray experiments (MA) and protein-protein interaction (PPI) network data. Microarray and PPI data are separately clustered; the clusters are then merged in a special graph; cliques of this graph would identify a group of functionally related proteins. The biological insight provided by these groups is analyzed on the basis of co-localization and mRNA developmental expression, pointing out the new information that can be obtained by this method.

::DEVELOPER

The Bioinformatics Group, Poznan University of Technology.

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux
  • C++ Complier

:: DOWNLOAD

 CLAIM

:: MORE INFORMATION

Citation

OMICS. 2014 Feb;18(2):155-65. doi: 10.1089/omi.2013.0050. Epub 2014 Jan 3.
An integrated approach (CLuster Analysis Integration Method) to combine expression data and protein-protein interaction networks in agrigenomics: application on Arabidopsis thaliana.
Santoni D1, Swiercz A, Zmieńko A, Kasprzak M, Blazewicz M, Bertolazzi P, Felici G.

FFCA 1.01 – Feasibility-based Flux Coupling Analysis of Metabolic Networks

FFCA 1.01

:: DESCRIPTION

FFCA is a Matlab based tool for flux coupling analysis. An LP solver should be installed separately and made “visible” from within Matlab. FFCA currently supports the usage of Linprog, Clp, Lindo and Glpk.

::DEVELOPER

Prof. Dr. Alexander Bockmayr

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Windows/Linux/MacOsX
  • Linux

:: DOWNLOAD

 FFCA

:: MORE INFORMATION

Citation

L. David, S.-A. Marashi, A.Larhlimi, B. Mieth, A. Bockmayr.
FFCA: a feasibility-based method for flux coupling analysis of metabolic networks“,
BMC Bioinformatics 2011, 12:236.