The landscape of false-positive transcription factor binding site predictions in yeast.
Published: 2007
Language: eng
Number of pages: 99
ISBN-13: 9780494274330
Description: A major shortcoming of most available methods for transcription factor binding site (TFBS) discovery is that they produce a high rate of false-positive motifs (FP-TFBS). Little attention thus far has been devoted to systematically identifying and characterizing FP-TFBS discovered in any organism. This study maps out the entire landscape of FP-TFBS discovered in promoter sequences of S. cerevisiae, and determines the extent to which TFBS and FP-TFBS from yeast can be discriminated.We found that the landscape of FP-TFBS can be described by 347 distinct clusters. Based on per-position degeneracy levels of profiles, we were able to discriminate a control set of 102 known yeast TFBS profiles from representatives of the FP-TFBS clusters with a sensitivity of 77% and specificity of 95%. We successfully conducted further experiments with human TFBS datasets to validate our approach.
Notes: Source: Masters Abstracts International, Volume: 45-06, page: 3062.

Thesis (M.Sc.)--University of Toronto, 2007.

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