Optimally recovering rate variation information from genomes and sequences: pattern filtering.

Abstract excerpt

Nucleotide substitution rates vary at different positions within genes and genomes, but rates are difficult to estimate, because they are masked by the stochastic nature of substitutions. In this paper, a linear method, pattern filtering, is described which can optimally separate the signals (related to substitution rates or to other measures of sequence change) from stochastic noise. Pattern filtering promises...

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