QuickSNP: an automated web server for selection of tagSNPs

Although large-scale genetic association studies involving hundreds to thousands of SNPs have become feasible, the associated cost is substantial. Even with the increased efficiency introduced by the use of tagSNPs, researchers are often seeking ways to maximize resource utilization given a set of S...

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Main Authors: Grover, Deepak, Woodfield, Alonzo S., Verma, Ranjana, Zandi, Peter P., Levinson, Douglas F., Potash, James B.
Format: Online
Language:English
Published: Oxford University Press 2007
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1933212/
id pubmed-1933212
recordtype oai_dc
spelling pubmed-19332122007-07-31 QuickSNP: an automated web server for selection of tagSNPs Grover, Deepak Woodfield, Alonzo S. Verma, Ranjana Zandi, Peter P. Levinson, Douglas F. Potash, James B. Articles Although large-scale genetic association studies involving hundreds to thousands of SNPs have become feasible, the associated cost is substantial. Even with the increased efficiency introduced by the use of tagSNPs, researchers are often seeking ways to maximize resource utilization given a set of SNP-based gene-mapping goals. We have developed a web server named QuickSNP in order to provide cost-effective selection of SNPs, and to fill in some of the gaps in existing SNP selection tools. One useful feature of QuickSNP is the option to select only gene-centric SNPs from a chromosomal region in an automated fashion. Other useful features include automated selection of coding non-synonymous SNPs, SNP filtering based on inter-SNP distances and information regarding the availability of genotyping assays for SNPs and whether they are present on whole genome chips. The program produces user-friendly summary tables and results, and a link to a UCSC Genome Browser track illustrating the position of the selected tagSNPs in relation to genes and other genomic features. We hope the unique combination of features of this server will be useful for researchers aiming to select markers for their genotyping studies. The server is freely available and can be accessed at the URL http://bioinformoodics.jhmi.edu/quickSNP.pl. Oxford University Press 2007-07 2007-05-21 /pmc/articles/PMC1933212/ /pubmed/17517769 http://dx.doi.org/10.1093/nar/gkm329 Text en © 2007 The Author(s) http://creativecommons.org/licenses/by-nc/2.0/uk/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
repository_type Open Access Journal
institution_category Foreign Institution
institution US National Center for Biotechnology Information
building NCBI PubMed
collection Online Access
language English
format Online
author Grover, Deepak
Woodfield, Alonzo S.
Verma, Ranjana
Zandi, Peter P.
Levinson, Douglas F.
Potash, James B.
spellingShingle Grover, Deepak
Woodfield, Alonzo S.
Verma, Ranjana
Zandi, Peter P.
Levinson, Douglas F.
Potash, James B.
QuickSNP: an automated web server for selection of tagSNPs
author_facet Grover, Deepak
Woodfield, Alonzo S.
Verma, Ranjana
Zandi, Peter P.
Levinson, Douglas F.
Potash, James B.
author_sort Grover, Deepak
title QuickSNP: an automated web server for selection of tagSNPs
title_short QuickSNP: an automated web server for selection of tagSNPs
title_full QuickSNP: an automated web server for selection of tagSNPs
title_fullStr QuickSNP: an automated web server for selection of tagSNPs
title_full_unstemmed QuickSNP: an automated web server for selection of tagSNPs
title_sort quicksnp: an automated web server for selection of tagsnps
description Although large-scale genetic association studies involving hundreds to thousands of SNPs have become feasible, the associated cost is substantial. Even with the increased efficiency introduced by the use of tagSNPs, researchers are often seeking ways to maximize resource utilization given a set of SNP-based gene-mapping goals. We have developed a web server named QuickSNP in order to provide cost-effective selection of SNPs, and to fill in some of the gaps in existing SNP selection tools. One useful feature of QuickSNP is the option to select only gene-centric SNPs from a chromosomal region in an automated fashion. Other useful features include automated selection of coding non-synonymous SNPs, SNP filtering based on inter-SNP distances and information regarding the availability of genotyping assays for SNPs and whether they are present on whole genome chips. The program produces user-friendly summary tables and results, and a link to a UCSC Genome Browser track illustrating the position of the selected tagSNPs in relation to genes and other genomic features. We hope the unique combination of features of this server will be useful for researchers aiming to select markers for their genotyping studies. The server is freely available and can be accessed at the URL http://bioinformoodics.jhmi.edu/quickSNP.pl.
publisher Oxford University Press
publishDate 2007
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1933212/
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