title: SFannotation: A Simple and Fast Protein Function Annotation System.
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.
authors.affiliation: Korean BioInformation Center (KOBIC), Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon 305-806, Korea.
authors.forename: Dong Su
authors.initials: DS
authors.lastname: Yu
authors.affiliation: BioNano Health Guard Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon 305-806, Korea.
authors.forename: Byung Kwon
authors.initials: BK
authors.lastname: Kim
keywords: bioinformatics; gene product; protein annotation