Improving MEME via a two-tiered significance analysis.

ABSTRACT:

Motivation

With over 9000 unique users recorded in the first half of 2013, MEME is one of the most popular motif-finding tools available. Reliable estimates of the statistical significance of motifs can greatly increase the usefulness of any motif finder. By analogy, it is difficult to imagine evaluating a BLAST result without its accompanying E-value. Currently MEME evaluates its EM-generated candidate motifs using an extension of BLAST's E-value to the motif-finding context. Although we previously indicated the drawbacks of MEME's current significance evaluation, we did not offer a practical substitute suited for its needs, especially because MEME also relies on the E-value internally to rank competing candidate motifs.

Results

Here we offer a two-tiered significance analy

SUBMITTER: Tanaka E 

PROVIDER: S-EPMC4080741 | biostudies-literature | 2014 Jul

REPOSITORIES: biostudies-literature