A Systematic Strategy for the Discovery of Candidate Genes Responsible for Phenotypic Variation

It is increasingly common to combine genome-wide expression data with quantitative trait mapping data to aid in the search for sequence polymorphisms responsible for phenotypic variation. By joining these complex but different data types at the level of the biological pathway, we can take advantage...

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Autores principales: Fisher, P., Noyes, H., Kemp, Stephen J., Stevens, R., Brass, A.
Formato: Capítulo de libro
Lenguaje:Inglés
Publicado: Springer 2009
Acceso en línea:https://hdl.handle.net/10568/1313
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author Fisher, P.
Noyes, H.
Kemp, Stephen J.
Stevens, R.
Brass, A.
author_browse Brass, A.
Fisher, P.
Kemp, Stephen J.
Noyes, H.
Stevens, R.
author_facet Fisher, P.
Noyes, H.
Kemp, Stephen J.
Stevens, R.
Brass, A.
author_sort Fisher, P.
collection Repository of Agricultural Research Outputs (CGSpace)
description It is increasingly common to combine genome-wide expression data with quantitative trait mapping data to aid in the search for sequence polymorphisms responsible for phenotypic variation. By joining these complex but different data types at the level of the biological pathway, we can take advantage of existing biological knowledge to systematically identify possible mechanisms of genotype–phenotype interaction. With the development of web services and workflows, this process can be made rapid and systematic. Our methodology was applied to a use case of resistance to African trypanosomiasis in mice. Workflows developed in this investigation, including a guide to loading and executing them with example data, are available at http://www.myexperiment.org/users/43/workflows.
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spelling CGSpace13132023-12-08T19:36:04Z A Systematic Strategy for the Discovery of Candidate Genes Responsible for Phenotypic Variation Fisher, P. Noyes, H. Kemp, Stephen J. Stevens, R. Brass, A. It is increasingly common to combine genome-wide expression data with quantitative trait mapping data to aid in the search for sequence polymorphisms responsible for phenotypic variation. By joining these complex but different data types at the level of the biological pathway, we can take advantage of existing biological knowledge to systematically identify possible mechanisms of genotype–phenotype interaction. With the development of web services and workflows, this process can be made rapid and systematic. Our methodology was applied to a use case of resistance to African trypanosomiasis in mice. Workflows developed in this investigation, including a guide to loading and executing them with example data, are available at http://www.myexperiment.org/users/43/workflows. 2009 2010-04-21T13:01:56Z 2010-04-21T13:01:56Z Book Chapter https://hdl.handle.net/10568/1313 en Limited Access Springer Fisher P., Noyes H., Kemp S., Stevens R. and Brass A. 2009. A Systematic Strategy for the Discovery of Candidate Genes Responsible for Phenotypic Variation Methods in Molecular Biology. IN: Cardiovascular Genomics: Methods and protocols. Dordrecht: Springer: 329-345
spellingShingle Fisher, P.
Noyes, H.
Kemp, Stephen J.
Stevens, R.
Brass, A.
A Systematic Strategy for the Discovery of Candidate Genes Responsible for Phenotypic Variation
title A Systematic Strategy for the Discovery of Candidate Genes Responsible for Phenotypic Variation
title_full A Systematic Strategy for the Discovery of Candidate Genes Responsible for Phenotypic Variation
title_fullStr A Systematic Strategy for the Discovery of Candidate Genes Responsible for Phenotypic Variation
title_full_unstemmed A Systematic Strategy for the Discovery of Candidate Genes Responsible for Phenotypic Variation
title_short A Systematic Strategy for the Discovery of Candidate Genes Responsible for Phenotypic Variation
title_sort systematic strategy for the discovery of candidate genes responsible for phenotypic variation
url https://hdl.handle.net/10568/1313
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