Cargando…

Functional analysis of novel SNPs and mutations in human and mouse genomes

BACKGROUND: With the flood of information generated by the new generation of sequencing technologies, more efficient bioinformatics tools are needed for in-depth impact analysis of novel genomic variations. FANS (Functional Analysis of Novel SNPs) was developed to streamline comprehensive but tediou...

Descripción completa

Detalles Bibliográficos
Autores principales: Liu, Chuan-Kun, Chen, Yan-Hau, Tang, Cheng-Yang, Chang, Shu-Chuan, Lin, Yi-Jung, Tsai, Ming-Fang, Chen, Yuan-Tsong, Yao, Adam
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2638150/
https://www.ncbi.nlm.nih.gov/pubmed/19091009
http://dx.doi.org/10.1186/1471-2105-9-S12-S10
_version_ 1782164396305285120
author Liu, Chuan-Kun
Chen, Yan-Hau
Tang, Cheng-Yang
Chang, Shu-Chuan
Lin, Yi-Jung
Tsai, Ming-Fang
Chen, Yuan-Tsong
Yao, Adam
author_facet Liu, Chuan-Kun
Chen, Yan-Hau
Tang, Cheng-Yang
Chang, Shu-Chuan
Lin, Yi-Jung
Tsai, Ming-Fang
Chen, Yuan-Tsong
Yao, Adam
author_sort Liu, Chuan-Kun
collection PubMed
description BACKGROUND: With the flood of information generated by the new generation of sequencing technologies, more efficient bioinformatics tools are needed for in-depth impact analysis of novel genomic variations. FANS (Functional Analysis of Novel SNPs) was developed to streamline comprehensive but tedious functional analysis steps into a few clicks and to offer a carefully designed presentation of results so researchers can focus more on thinking instead of typing and calculating. RESULTS: FANS harnesses the power of public information databases and powerful tools from six well established websites to enhance the efficiency of analysis of novel variations. FANS can process any point change in any coding region or GT-AG splice site to provide a clear picture of the disease risk of a prioritized variation by classifying splicing and functional alterations into one of nine risk subtypes with five risk levels. CONCLUSION: FANS significantly simplifies the analysis operations to a four-step procedure while still covering all major areas of interest to researchers. FANS offers a convenient way to prioritize the variations and select the ones with most functional impact for validation. Additionally, the program offers a distinct improvement in efficiency over manual operations in our benchmark test.
format Text
id pubmed-2638150
institution National Center for Biotechnology Information
language English
publishDate 2008
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-26381502009-02-11 Functional analysis of novel SNPs and mutations in human and mouse genomes Liu, Chuan-Kun Chen, Yan-Hau Tang, Cheng-Yang Chang, Shu-Chuan Lin, Yi-Jung Tsai, Ming-Fang Chen, Yuan-Tsong Yao, Adam BMC Bioinformatics Research BACKGROUND: With the flood of information generated by the new generation of sequencing technologies, more efficient bioinformatics tools are needed for in-depth impact analysis of novel genomic variations. FANS (Functional Analysis of Novel SNPs) was developed to streamline comprehensive but tedious functional analysis steps into a few clicks and to offer a carefully designed presentation of results so researchers can focus more on thinking instead of typing and calculating. RESULTS: FANS harnesses the power of public information databases and powerful tools from six well established websites to enhance the efficiency of analysis of novel variations. FANS can process any point change in any coding region or GT-AG splice site to provide a clear picture of the disease risk of a prioritized variation by classifying splicing and functional alterations into one of nine risk subtypes with five risk levels. CONCLUSION: FANS significantly simplifies the analysis operations to a four-step procedure while still covering all major areas of interest to researchers. FANS offers a convenient way to prioritize the variations and select the ones with most functional impact for validation. Additionally, the program offers a distinct improvement in efficiency over manual operations in our benchmark test. BioMed Central 2008-12-12 /pmc/articles/PMC2638150/ /pubmed/19091009 http://dx.doi.org/10.1186/1471-2105-9-S12-S10 Text en Copyright © 2008 Liu et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Liu, Chuan-Kun
Chen, Yan-Hau
Tang, Cheng-Yang
Chang, Shu-Chuan
Lin, Yi-Jung
Tsai, Ming-Fang
Chen, Yuan-Tsong
Yao, Adam
Functional analysis of novel SNPs and mutations in human and mouse genomes
title Functional analysis of novel SNPs and mutations in human and mouse genomes
title_full Functional analysis of novel SNPs and mutations in human and mouse genomes
title_fullStr Functional analysis of novel SNPs and mutations in human and mouse genomes
title_full_unstemmed Functional analysis of novel SNPs and mutations in human and mouse genomes
title_short Functional analysis of novel SNPs and mutations in human and mouse genomes
title_sort functional analysis of novel snps and mutations in human and mouse genomes
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2638150/
https://www.ncbi.nlm.nih.gov/pubmed/19091009
http://dx.doi.org/10.1186/1471-2105-9-S12-S10
work_keys_str_mv AT liuchuankun functionalanalysisofnovelsnpsandmutationsinhumanandmousegenomes
AT chenyanhau functionalanalysisofnovelsnpsandmutationsinhumanandmousegenomes
AT tangchengyang functionalanalysisofnovelsnpsandmutationsinhumanandmousegenomes
AT changshuchuan functionalanalysisofnovelsnpsandmutationsinhumanandmousegenomes
AT linyijung functionalanalysisofnovelsnpsandmutationsinhumanandmousegenomes
AT tsaimingfang functionalanalysisofnovelsnpsandmutationsinhumanandmousegenomes
AT chenyuantsong functionalanalysisofnovelsnpsandmutationsinhumanandmousegenomes
AT yaoadam functionalanalysisofnovelsnpsandmutationsinhumanandmousegenomes