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SFannotation: A Simple and Fast Protein Function Annotation System

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...

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Detalles Bibliográficos
Autores principales: Yu, Dong Su, Kim, Byung Kwon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korea Genome Organization 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4099352/
https://www.ncbi.nlm.nih.gov/pubmed/25031571
http://dx.doi.org/10.5808/GI.2014.12.2.76
Descripción
Sumario: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.