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SNP and Mutation Data on the Web – Hidden Treasures for Uncovering

SNP data has grown exponentially over the last two years, SNP database evolution has matched this growth, as initial development of several independent SNP databases has given way to one central SNP database, dbSNP. Other SNP databases have instead evolved to complement this central database by prov...

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Detalles Bibliográficos
Autor principal: Barnes, Michael R.
Formato: Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2002
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2447234/
https://www.ncbi.nlm.nih.gov/pubmed/18628874
http://dx.doi.org/10.1002/cfg.131
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author Barnes, Michael R.
author_facet Barnes, Michael R.
author_sort Barnes, Michael R.
collection PubMed
description SNP data has grown exponentially over the last two years, SNP database evolution has matched this growth, as initial development of several independent SNP databases has given way to one central SNP database, dbSNP. Other SNP databases have instead evolved to complement this central database by providing gene specific focus and an increased level of curation and analysis on subsets of data, derived from the central data set. By contrast, human mutation data, which has been collected over many years, is still stored in disparate sources, although moves are afoot to move to a similar central database. These developments are timely, human mutation and polymorphism data both hold complementary keys to a better understanding of how genes function and malfunction in disease. The impending availability of a complete human genome presents us with an ideal framework to integrate both these forms of data, as our understanding of the mechanisms of disease increase, the full genomic context of variation may become increasingly significant.
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spelling pubmed-24472342008-07-14 SNP and Mutation Data on the Web – Hidden Treasures for Uncovering Barnes, Michael R. Comp Funct Genomics Research Article SNP data has grown exponentially over the last two years, SNP database evolution has matched this growth, as initial development of several independent SNP databases has given way to one central SNP database, dbSNP. Other SNP databases have instead evolved to complement this central database by providing gene specific focus and an increased level of curation and analysis on subsets of data, derived from the central data set. By contrast, human mutation data, which has been collected over many years, is still stored in disparate sources, although moves are afoot to move to a similar central database. These developments are timely, human mutation and polymorphism data both hold complementary keys to a better understanding of how genes function and malfunction in disease. The impending availability of a complete human genome presents us with an ideal framework to integrate both these forms of data, as our understanding of the mechanisms of disease increase, the full genomic context of variation may become increasingly significant. Hindawi Publishing Corporation 2002-02 /pmc/articles/PMC2447234/ /pubmed/18628874 http://dx.doi.org/10.1002/cfg.131 Text en Copyright © 2002 Hindawi Publishing Corporation. http://creativecommons.org/licenses/by/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Barnes, Michael R.
SNP and Mutation Data on the Web – Hidden Treasures for Uncovering
title SNP and Mutation Data on the Web – Hidden Treasures for Uncovering
title_full SNP and Mutation Data on the Web – Hidden Treasures for Uncovering
title_fullStr SNP and Mutation Data on the Web – Hidden Treasures for Uncovering
title_full_unstemmed SNP and Mutation Data on the Web – Hidden Treasures for Uncovering
title_short SNP and Mutation Data on the Web – Hidden Treasures for Uncovering
title_sort snp and mutation data on the web – hidden treasures for uncovering
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2447234/
https://www.ncbi.nlm.nih.gov/pubmed/18628874
http://dx.doi.org/10.1002/cfg.131
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