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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...
Autores principales: | , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2008
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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 |
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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 |
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