Management, presentation and interpretation of genome scans using GSCANDB.

MOTIVATION: Advances in high-throughput genotyping have made it possible to carry out genome-wide association studies using very high densities of genetic markers. This has led to the problem of the storage, management, quality control, presentation and interpretation of results. In order to achiev...

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المؤلفون الرئيسيون: Taylor, M, Valdar, W, Kumar, A, Flint, J, Mott, R
التنسيق: Journal article
اللغة:English
منشور في: 2007
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author Taylor, M
Valdar, W
Kumar, A
Flint, J
Mott, R
author_facet Taylor, M
Valdar, W
Kumar, A
Flint, J
Mott, R
author_sort Taylor, M
collection OXFORD
description MOTIVATION: Advances in high-throughput genotyping have made it possible to carry out genome-wide association studies using very high densities of genetic markers. This has led to the problem of the storage, management, quality control, presentation and interpretation of results. In order to achieve a successful outcome, it may be necessary to analyse the data in different ways and compare the results with genome annotations and other genome scans. RESULTS: We created GSCANDB, a database for genome scan data, using a MySQL backend and Perl-CGI web interface. It displays genome scans of multiple phenotypes analysed in different ways and projected onto genome annotations derived from EnsMart. The current version is optimized for analysis of mouse data, but is customizable to other species. AVAILABILITY: Source code and example data are available under the GPL, in versions tailored to either human or mouse association studies, from http://gscan.well.ox.ac.uk/software.
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spelling oxford-uuid:b05ad6ab-a217-42ef-9a9a-1de00dc24eec2022-03-27T03:55:50ZManagement, presentation and interpretation of genome scans using GSCANDB.Journal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:b05ad6ab-a217-42ef-9a9a-1de00dc24eecEnglishSymplectic Elements at Oxford2007Taylor, MValdar, WKumar, AFlint, JMott, R MOTIVATION: Advances in high-throughput genotyping have made it possible to carry out genome-wide association studies using very high densities of genetic markers. This has led to the problem of the storage, management, quality control, presentation and interpretation of results. In order to achieve a successful outcome, it may be necessary to analyse the data in different ways and compare the results with genome annotations and other genome scans. RESULTS: We created GSCANDB, a database for genome scan data, using a MySQL backend and Perl-CGI web interface. It displays genome scans of multiple phenotypes analysed in different ways and projected onto genome annotations derived from EnsMart. The current version is optimized for analysis of mouse data, but is customizable to other species. AVAILABILITY: Source code and example data are available under the GPL, in versions tailored to either human or mouse association studies, from http://gscan.well.ox.ac.uk/software.
spellingShingle Taylor, M
Valdar, W
Kumar, A
Flint, J
Mott, R
Management, presentation and interpretation of genome scans using GSCANDB.
title Management, presentation and interpretation of genome scans using GSCANDB.
title_full Management, presentation and interpretation of genome scans using GSCANDB.
title_fullStr Management, presentation and interpretation of genome scans using GSCANDB.
title_full_unstemmed Management, presentation and interpretation of genome scans using GSCANDB.
title_short Management, presentation and interpretation of genome scans using GSCANDB.
title_sort management presentation and interpretation of genome scans using gscandb
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