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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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Publication status:
Published

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Publisher copy:
10.1089/cmb.2006.13.929

Authors


Gunewardena, S More by this author
Jeavons, P More by this author
Journal:
Journal of computational biology : a journal of computational molecular cell biology
Volume:
13
Issue:
4
Pages:
929-945
Publication date:
2006-05-05
DOI:
EISSN:
1557-8666
ISSN:
1066-5277
URN:
uuid:6c15a20b-069c-431a-b5b7-33f0238b4965
Source identifiers:
284754
Local pid:
pubs:284754

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