UniRef clusters: a comprehensive and scalable alternative for improving sequence similarity searches.

ABSTRACT:

Motivation

UniRef databases provide full-scale clustering of UniProtKB sequences and are utilized for a broad range of applications, particularly similarity-based functional annotation. Non-redundancy and intra-cluster homogeneity in UniRef were recently improved by adding a sequence length overlap threshold. Our hypothesis is that these improvements would enhance the speed and sensitivity of similarity searches and improve the consistency of annotation within clusters.

Results

Intra-cluster molecular function consistency was examined by analysis of Gene Ontology terms. Results show that UniRef clusters bring together proteins of identical molecular function in more than 97% of the clusters, implying that clusters are useful for annotation and can also be used to detect anno

SUBMITTER: Suzek BE 

PROVIDER: S-EPMC4375400 | biostudies-literature | 2015 Mar

REPOSITORIES: biostudies-literature