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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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Korea Genome Organization
2014
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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 |
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author | Yu, Dong Su Kim, Byung Kwon |
author_facet | Yu, Dong Su Kim, Byung Kwon |
author_sort | Yu, Dong Su |
collection | PubMed |
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 | Online Article Text |
id | pubmed-4099352 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Korea Genome Organization |
record_format | MEDLINE/PubMed |
spelling | pubmed-40993522014-07-16 SFannotation: A Simple and Fast Protein Function Annotation System Yu, Dong Su Kim, Byung Kwon Genomics Inform Application Note 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. Korea Genome Organization 2014-06 2014-06-30 /pmc/articles/PMC4099352/ /pubmed/25031571 http://dx.doi.org/10.5808/GI.2014.12.2.76 Text en Copyright © 2014 by the Korea Genome Organization http://creativecommons.org/licenses/by-nc/3.0/ It is identical to the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/). |
spellingShingle | Application Note Yu, Dong Su Kim, Byung Kwon SFannotation: A Simple and Fast Protein Function Annotation System |
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 | Application Note |
url | 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 |
work_keys_str_mv | AT yudongsu sfannotationasimpleandfastproteinfunctionannotationsystem AT kimbyungkwon sfannotationasimpleandfastproteinfunctionannotationsystem |