Tag: Factor

TargetOrtho 2.0 – A Phylogenetic Footprinting Tool to Identify Transcription Factor Targets

TargetOrtho 2.0

:: DESCRIPTION

TargetOrtho provides a cost- and time-efficient in silico approach for the identification of novel TF target genes, and, together with its CRM search function, is poised to unravel the regulatory logic of diverse biological processes.

::DEVELOPER

Hobert Lab

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux
  • Python

:: DOWNLOAD

 TargetOrtho

:: MORE INFORMATION

Citation

Genetics. 2014 May;197(1):61-76. doi: 10.1534/genetics.113.160721. Epub 2014 Feb 20.
TargetOrtho: a phylogenetic footprinting tool to identify transcription factor targets.
Glenwinkel L1, Wu D, Minevich G, Hobert O.

MultiTF-PPI – Competitive Transcription Factor Binding Prediction

MultiTF-PPI

:: DESCRIPTION

MultiTF-PPI is a probabilistic protein-protein interaction guided method for competitive transcription factor binding prediction.

::DEVELOPER

Computational systems biology group

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux/ MacOsX / Windows
  • Matlab

:: DOWNLOAD

MultiTF-PPI

:: MORE INFORMATION

PASTAA – Detecting Transcriptions Factors Associated with Functional Categories

PASTAA

:: DESCRIPTION

PASTAA is a software for detecting transcriptions factors associated with functional categories, which utilizes the prediction of binding affinities of a TF to promoters. This binding strength information is compared to the likelihood of membership of the corresponding genes in the functional category under study. Coherence between the two ranked datasets is seen as an indicator of association between a TF and the category. PASTAA is applied primarily to the determination of TFs driving tissue-specific expression.

::DEVELOPER

the Computational Molecular Biology Department at the Max Planck Institute for Molecular Genetics in Berlin, Germany.

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux
  • C++ compiler

:: DOWNLOAD

 PASTAA

:: MORE INFORMATION

Citation

Helge G. Roider*, Thomas Manke, Sean O’Keeffe, Martin Vingron and Stefan A. Haas
PASTAA: identifying transcription factors associated with sets of co-regulated genes
Bioinformatics (2009) 25 (4): 435-442.