Ontology highlight
ABSTRACT:
SUBMITTER: Chang GS
PROVIDER: S-EPMC2527991 | biostudies-literature | 2008 Sep
REPOSITORIES: biostudies-literature
Chang Gue Su GS Hong Yoojin Y Ko Kyung Dae KD Bhardwaj Gaurav G Holmes Edward C EC Patterson Randen L RL van Rossum Damian B DB
Proceedings of the National Academy of Sciences of the United States of America 20080902 36
Inferring evolutionary relationships among highly divergent protein sequences is a daunting task. In particular, when pairwise sequence alignments between protein sequences fall <25% identity, the phylogenetic relationships among sequences cannot be estimated with statistical certainty. Here, we show that phylogenetic profiles generated with the Gestalt Domain Detection Algorithm-Basic Local Alignment Tool (GDDA-BLAST) are capable of deriving, ab initio, phylogenetic relationships for highly div ...[more]