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Enhancing the prediction of transcription factor binding sites by incorporating structural properties and nucleotide covariations

Abstract:

A problem faced by many algorithms for finding transcription factor (TF) binding sites is the high number of false positive hits that result with the increased sensitivity of their prediction. A main contributing factor to this is the short and degenerate nature of these sites which results in a low signal-to-noise ratio. In order to counter this problem, one needs to look beyond the assumption that individual bases of a TF binding site act independently from each other when binding to a tran...

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Publisher copy:
10.1089/cmb.2006.13.929

Authors


Z.Zhang S.Gunewardena P. Jeavons More by this author
Journal:
Journal of Computational Biology
Volume:
13
Issue:
4
Pages:
929-945
Publication date:
2006
DOI:
URN:
uuid:654d2b1e-8b19-4bb2-8b07-1593ddd6ace5
Local pid:
cs:1450

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