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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Main Authors: Dong Su Yu, Byung Kwon Kim
Format: Article
Language:English
Published: BioMed Central 2014-06-01
Series:Genomics & Informatics
Subjects:
Online Access:http://genominfo.org/upload/pdf/gni-12-76.pdf
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author Dong Su Yu
Byung Kwon Kim
author_facet Dong Su Yu
Byung Kwon Kim
author_sort Dong Su Yu
collection DOAJ
description 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.
format Article
id doaj-art-510eccdcab7b41298c374c67278ea154
institution Kabale University
issn 1598-866X
2234-0742
language English
publishDate 2014-06-01
publisher BioMed Central
record_format Article
series Genomics & Informatics
spelling doaj-art-510eccdcab7b41298c374c67278ea1542025-02-02T14:17:56ZengBioMed CentralGenomics & Informatics1598-866X2234-07422014-06-01122767810.5808/GI.2014.12.2.76128SFannotation: A Simple and Fast Protein Function Annotation SystemDong Su Yu0Byung Kwon Kim1Korean BioInformation Center (KOBIC), Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon 305-806, Korea.BioNano Health Guard Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon 305-806, Korea.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.http://genominfo.org/upload/pdf/gni-12-76.pdfbioinformaticsgene productprotein annotation
spellingShingle Dong Su Yu
Byung Kwon Kim
SFannotation: A Simple and Fast Protein Function Annotation System
Genomics & Informatics
bioinformatics
gene product
protein annotation
title SFannotation: A Simple and Fast Protein Function Annotation System
title_full SFannotation: A Simple and Fast Protein Function Annotation System
title_fullStr SFannotation: A Simple and Fast Protein Function Annotation System
title_full_unstemmed SFannotation: A Simple and Fast Protein Function Annotation System
title_short SFannotation: A Simple and Fast Protein Function Annotation System
title_sort sfannotation a simple and fast protein function annotation system
topic bioinformatics
gene product
protein annotation
url http://genominfo.org/upload/pdf/gni-12-76.pdf
work_keys_str_mv AT dongsuyu sfannotationasimpleandfastproteinfunctionannotationsystem
AT byungkwonkim sfannotationasimpleandfastproteinfunctionannotationsystem