Cargando…

QTLminer: identifying genes regulating quantitative traits

BACKGROUND: Quantitative trait locus (QTL) mapping identifies genomic regions that likely contain genes regulating a quantitative trait. However, QTL regions may encompass tens to hundreds of genes. To find the most promising candidate genes that regulate the trait, the biologist typically collects...

Descripción completa

Detalles Bibliográficos
Autores principales: Alberts, Rudi, Schughart, Klaus
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2964687/
https://www.ncbi.nlm.nih.gov/pubmed/20950438
http://dx.doi.org/10.1186/1471-2105-11-516
_version_ 1782189412045553664
author Alberts, Rudi
Schughart, Klaus
author_facet Alberts, Rudi
Schughart, Klaus
author_sort Alberts, Rudi
collection PubMed
description BACKGROUND: Quantitative trait locus (QTL) mapping identifies genomic regions that likely contain genes regulating a quantitative trait. However, QTL regions may encompass tens to hundreds of genes. To find the most promising candidate genes that regulate the trait, the biologist typically collects information from multiple resources about the genes in the QTL interval. This process is very laborious and time consuming. RESULTS: QTLminer is a bioinformatics tool that automatically performs QTL region analysis. It is available in GeneNetwork and it integrates information such as gene annotation, gene expression and sequence polymorphisms for all the genes within a given genomic interval. CONCLUSIONS: QTLminer substantially speeds up discovery of the most promising candidate genes within a QTL region.
format Text
id pubmed-2964687
institution National Center for Biotechnology Information
language English
publishDate 2010
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-29646872010-10-28 QTLminer: identifying genes regulating quantitative traits Alberts, Rudi Schughart, Klaus BMC Bioinformatics Software BACKGROUND: Quantitative trait locus (QTL) mapping identifies genomic regions that likely contain genes regulating a quantitative trait. However, QTL regions may encompass tens to hundreds of genes. To find the most promising candidate genes that regulate the trait, the biologist typically collects information from multiple resources about the genes in the QTL interval. This process is very laborious and time consuming. RESULTS: QTLminer is a bioinformatics tool that automatically performs QTL region analysis. It is available in GeneNetwork and it integrates information such as gene annotation, gene expression and sequence polymorphisms for all the genes within a given genomic interval. CONCLUSIONS: QTLminer substantially speeds up discovery of the most promising candidate genes within a QTL region. BioMed Central 2010-10-15 /pmc/articles/PMC2964687/ /pubmed/20950438 http://dx.doi.org/10.1186/1471-2105-11-516 Text en Copyright ©2010 Alberts and Schughart; 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 Software
Alberts, Rudi
Schughart, Klaus
QTLminer: identifying genes regulating quantitative traits
title QTLminer: identifying genes regulating quantitative traits
title_full QTLminer: identifying genes regulating quantitative traits
title_fullStr QTLminer: identifying genes regulating quantitative traits
title_full_unstemmed QTLminer: identifying genes regulating quantitative traits
title_short QTLminer: identifying genes regulating quantitative traits
title_sort qtlminer: identifying genes regulating quantitative traits
topic Software
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2964687/
https://www.ncbi.nlm.nih.gov/pubmed/20950438
http://dx.doi.org/10.1186/1471-2105-11-516
work_keys_str_mv AT albertsrudi qtlmineridentifyinggenesregulatingquantitativetraits
AT schughartklaus qtlmineridentifyinggenesregulatingquantitativetraits