Rapid detection, classification and accurate alignment of up to a million or more related protein sequences.

ABSTRACT:

Motivation

The patterns of sequence similarity and divergence present within functionally diverse, evolutionarily related proteins contain implicit information about corresponding biochemical similarities and differences. A first step toward accessing such information is to statistically analyze these patterns, which, in turn, requires that one first identify and accurately align a very large set of protein sequences. Ideally, the set should include many distantly related, functionally divergent subgroups. Because it is extremely difficult, if not impossible for fully automated methods to align such sequences correctly, researchers often resort to manual curation based on detailed structural and biochemical information. However, multiply-aligning vast numbers of sequences in this w

SUBMITTER: Neuwald AF 

PROVIDER: S-EPMC2732367 | biostudies-literature | 2009 Aug

REPOSITORIES: biostudies-literature