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R/qtl2: Software for Mapping Quantitative Trait Loci with High-Dimensional Data and Multiparent Populations

R/qtl2 is an interactive software environment for mapping quantitative trait loci (QTL) in experimental populations. The R/qtl2 software expands the scope of the widely used R/qtl software package to include multiparent populations derived from more than two founder strains, such as the Collaborativ...

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Autores principales: Broman, Karl W., Gatti, Daniel M., Simecek, Petr, Furlotte, Nicholas A., Prins, Pjotr, Sen, Śaunak, Yandell, Brian S., Churchill, Gary A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Genetics Society of America 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6366910/
https://www.ncbi.nlm.nih.gov/pubmed/30591514
http://dx.doi.org/10.1534/genetics.118.301595
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author Broman, Karl W.
Gatti, Daniel M.
Simecek, Petr
Furlotte, Nicholas A.
Prins, Pjotr
Sen, Śaunak
Yandell, Brian S.
Churchill, Gary A.
author_facet Broman, Karl W.
Gatti, Daniel M.
Simecek, Petr
Furlotte, Nicholas A.
Prins, Pjotr
Sen, Śaunak
Yandell, Brian S.
Churchill, Gary A.
author_sort Broman, Karl W.
collection PubMed
description R/qtl2 is an interactive software environment for mapping quantitative trait loci (QTL) in experimental populations. The R/qtl2 software expands the scope of the widely used R/qtl software package to include multiparent populations derived from more than two founder strains, such as the Collaborative Cross and Diversity Outbred mice, heterogeneous stocks, and MAGIC plant populations. R/qtl2 is designed to handle modern high-density genotyping data and high-dimensional molecular phenotypes, including gene expression and proteomics. R/qtl2 includes the ability to perform genome scans using a linear mixed model to account for population structure, and also includes features to impute SNPs based on founder strain genomes and to carry out association mapping. The R/qtl2 software provides all of the basic features needed for QTL mapping, including graphical displays and summary reports, and it can be extended through the creation of add-on packages. R/qtl2, which is free and open source software written in the R and C++ programming languages, comes with a test framework.
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spelling pubmed-63669102019-02-08 R/qtl2: Software for Mapping Quantitative Trait Loci with High-Dimensional Data and Multiparent Populations Broman, Karl W. Gatti, Daniel M. Simecek, Petr Furlotte, Nicholas A. Prins, Pjotr Sen, Śaunak Yandell, Brian S. Churchill, Gary A. Genetics Investigations R/qtl2 is an interactive software environment for mapping quantitative trait loci (QTL) in experimental populations. The R/qtl2 software expands the scope of the widely used R/qtl software package to include multiparent populations derived from more than two founder strains, such as the Collaborative Cross and Diversity Outbred mice, heterogeneous stocks, and MAGIC plant populations. R/qtl2 is designed to handle modern high-density genotyping data and high-dimensional molecular phenotypes, including gene expression and proteomics. R/qtl2 includes the ability to perform genome scans using a linear mixed model to account for population structure, and also includes features to impute SNPs based on founder strain genomes and to carry out association mapping. The R/qtl2 software provides all of the basic features needed for QTL mapping, including graphical displays and summary reports, and it can be extended through the creation of add-on packages. R/qtl2, which is free and open source software written in the R and C++ programming languages, comes with a test framework. Genetics Society of America 2019-02 2019-02-05 /pmc/articles/PMC6366910/ /pubmed/30591514 http://dx.doi.org/10.1534/genetics.118.301595 Text en Copyright © 2019 Broman et al. Available freely online through the author-supported open access option. This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Investigations
Broman, Karl W.
Gatti, Daniel M.
Simecek, Petr
Furlotte, Nicholas A.
Prins, Pjotr
Sen, Śaunak
Yandell, Brian S.
Churchill, Gary A.
R/qtl2: Software for Mapping Quantitative Trait Loci with High-Dimensional Data and Multiparent Populations
title R/qtl2: Software for Mapping Quantitative Trait Loci with High-Dimensional Data and Multiparent Populations
title_full R/qtl2: Software for Mapping Quantitative Trait Loci with High-Dimensional Data and Multiparent Populations
title_fullStr R/qtl2: Software for Mapping Quantitative Trait Loci with High-Dimensional Data and Multiparent Populations
title_full_unstemmed R/qtl2: Software for Mapping Quantitative Trait Loci with High-Dimensional Data and Multiparent Populations
title_short R/qtl2: Software for Mapping Quantitative Trait Loci with High-Dimensional Data and Multiparent Populations
title_sort r/qtl2: software for mapping quantitative trait loci with high-dimensional data and multiparent populations
topic Investigations
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6366910/
https://www.ncbi.nlm.nih.gov/pubmed/30591514
http://dx.doi.org/10.1534/genetics.118.301595
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