Compensation for nucleotide bias in a genome by representation as a discrete channel with noise | Zendy

Mark Schreiber | Zendy; Chris M. Brown | Zendy

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Compensation for nucleotide bias in a genome by representation as a discrete channel with noise

Author(s) -

Mark Schreiber,

Chris M. Brown

Publication year - 2002

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/18.4.507

Subject(s) - compensation (psychology) , noise (video) , computer science , representation (politics) , channel (broadcasting) , computational biology , biology , artificial intelligence , psychology , telecommunications , law , politics , political science , psychoanalysis , image (mathematics)

Calculation of the information content of motifs in genomes highly biased in nucleotide composition is likely to lead to overestimates of the amount of useful information in the motif. Calculating relative information can compensate for biases, however the resulting information content is the amount seen by an observer and not by a macromolecule binding to the motif. The latter is needed to calculate the discriminatory power of the motif and to compare motifs between species.

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