- Author:
Dong Su YU
1
;
Byung Kwon KIM
Author Information
- Publication Type:Original Article
- Keywords: bioinformatics; gene product; protein annotation
- MeSH: Computational Biology; Databases, Protein; Molecular Sequence Annotation
- From:Genomics & Informatics 2014;12(2):76-78
- CountryRepublic of Korea
- Language:English
- Abstract: Owing to the generation of vast amounts of sequencing data by using cost-effective, high-throughput sequencing technologies with improved computational approaches, many putative proteins have been discovered after assembly and structural annotation. Putative proteins are typically annotated using a functional annotation system that uses extant databases, but the expansive size of these databases often causes a bottleneck for rapid functional annotation. We developed SFannotation, a simple and fast functional annotation system that rapidly annotates putative proteins against four extant databases, Swiss-Prot, TIGRFAMs, Pfam, and the non-redundant sequence database, by using a best-hit approach with BLASTP and HMMSEARCH.