FunNet 1.00-3 – Functional Analysis of Transcriptional Networks

FunNet 1.00-3

:: DESCRIPTION

FunNet” is an integrative tool for analyzing gene co-expression networks from microarray expression data. The analytic model implemented in this library involves two abstraction layers: transcriptional and functional (biological roles). A functional profiling technique using Gene Ontology and KEGG annotations is applied to extract a list of relevant biological themes from microarray expression profiling data.

::DEVELOPER

 Corneliu Henegar

:: SCREENSHOTS

N/A

:: REQUIREMENTS

:: DOWNLOAD

 FunNet

:: MORE INFORMATION

Citation

FunNet: an integrative tool for exploring transcriptional interactions
Prifti E, Zucker JD, Clément K and Henegar C.
Bioinformatics 2008, doi: 10.1093/bioinformatics/btn492.

RTN 2.10.1 – Reconstruction and Analysis of Transcriptional Networks

RTN 2.10.1

:: DESCRIPTION

RTN provides classes and methods for transcriptional network inference and and analysis.

::DEVELOPER

the Markowetz lab

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux / MacOsX / Windows
  • R
  • BioConductor

:: DOWNLOAD

 RTN

:: MORE INFORMATION

Citation

Nat Commun. 2013;4:2464. doi: 10.1038/ncomms3464.
Master regulators of FGFR2 signalling and breast cancer risk.
Fletcher MN1, Castro MA, Wang X, de Santiago I, O’Reilly M, Chin SF, Rueda OM, Caldas C, Ponder BA, Markowetz F, Meyer KB.