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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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Genetics Society of America
2019
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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. |
format | Online Article Text |
id | pubmed-6366910 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Genetics Society of America |
record_format | MEDLINE/PubMed |
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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