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.
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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.