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qtl.outbred: Interfacing outbred line cross data with the R/qtl mapping software

BACKGROUND: qtl.outbred is an extendible interface in the statistical environment, R, for combining quantitative trait loci (QTL) mapping tools. It is built as an umbrella package that enables outbred genotype probabilities to be calculated and/or imported into the software package R/qtl. FINDINGS:...

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Detalles Bibliográficos
Autores principales: Nelson, Ronald M, Shen, Xia, Carlborg, Örjan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3117720/
https://www.ncbi.nlm.nih.gov/pubmed/21615912
http://dx.doi.org/10.1186/1756-0500-4-154
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author Nelson, Ronald M
Shen, Xia
Carlborg, Örjan
author_facet Nelson, Ronald M
Shen, Xia
Carlborg, Örjan
author_sort Nelson, Ronald M
collection PubMed
description BACKGROUND: qtl.outbred is an extendible interface in the statistical environment, R, for combining quantitative trait loci (QTL) mapping tools. It is built as an umbrella package that enables outbred genotype probabilities to be calculated and/or imported into the software package R/qtl. FINDINGS: Using qtl.outbred, the genotype probabilities from outbred line cross data can be calculated by interfacing with a new and efficient algorithm developed for analyzing arbitrarily large datasets (included in the package) or imported from other sources such as the web-based tool, GridQTL. CONCLUSION: qtl.outbred will improve the speed for calculating probabilities and the ability to analyse large future datasets. This package enables the user to analyse outbred line cross data accurately, but with similar effort than inbred line cross data.
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spelling pubmed-31177202011-06-18 qtl.outbred: Interfacing outbred line cross data with the R/qtl mapping software Nelson, Ronald M Shen, Xia Carlborg, Örjan BMC Res Notes Technical Note BACKGROUND: qtl.outbred is an extendible interface in the statistical environment, R, for combining quantitative trait loci (QTL) mapping tools. It is built as an umbrella package that enables outbred genotype probabilities to be calculated and/or imported into the software package R/qtl. FINDINGS: Using qtl.outbred, the genotype probabilities from outbred line cross data can be calculated by interfacing with a new and efficient algorithm developed for analyzing arbitrarily large datasets (included in the package) or imported from other sources such as the web-based tool, GridQTL. CONCLUSION: qtl.outbred will improve the speed for calculating probabilities and the ability to analyse large future datasets. This package enables the user to analyse outbred line cross data accurately, but with similar effort than inbred line cross data. BioMed Central 2011-05-26 /pmc/articles/PMC3117720/ /pubmed/21615912 http://dx.doi.org/10.1186/1756-0500-4-154 Text en Copyright ©2011 Nelson et al; 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 Technical Note
Nelson, Ronald M
Shen, Xia
Carlborg, Örjan
qtl.outbred: Interfacing outbred line cross data with the R/qtl mapping software
title qtl.outbred: Interfacing outbred line cross data with the R/qtl mapping software
title_full qtl.outbred: Interfacing outbred line cross data with the R/qtl mapping software
title_fullStr qtl.outbred: Interfacing outbred line cross data with the R/qtl mapping software
title_full_unstemmed qtl.outbred: Interfacing outbred line cross data with the R/qtl mapping software
title_short qtl.outbred: Interfacing outbred line cross data with the R/qtl mapping software
title_sort qtl.outbred: interfacing outbred line cross data with the r/qtl mapping software
topic Technical Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3117720/
https://www.ncbi.nlm.nih.gov/pubmed/21615912
http://dx.doi.org/10.1186/1756-0500-4-154
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