gQTL: A Web Application for QTL Analysis Using the Collaborative Cross Mouse Genetic Reference Population

Multi-parental recombinant inbred populations, such as the Collaborative Cross (CC) mouse genetic reference population, are increasingly being used for analysis of quantitative trait loci (QTL). However specialized analytic software for these complex populations is typically built in R that works on...

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Detalles Bibliográficos
Autores principales: Konganti, Kranti, Ehrlich, Andre, Rusyn, Ivan, Threadgill, David W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Genetics Society of America 2018
Materias:
Software and Data Resources
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6071593/
https://www.ncbi.nlm.nih.gov/pubmed/29880557
http://dx.doi.org/10.1534/g3.118.200230
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author Konganti, Kranti
Ehrlich, Andre
Rusyn, Ivan
Threadgill, David W.
author_facet Konganti, Kranti
Ehrlich, Andre
Rusyn, Ivan
Threadgill, David W.
author_sort Konganti, Kranti
collection PubMed
description Multi-parental recombinant inbred populations, such as the Collaborative Cross (CC) mouse genetic reference population, are increasingly being used for analysis of quantitative trait loci (QTL). However specialized analytic software for these complex populations is typically built in R that works only on command-line, which limits the utility of these powerful resources for many users. To overcome analytic limitations, we developed gQTL, a web accessible, simple graphical user interface application based on the DOQTL platform in R to perform QTL mapping using data from CC mice.
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spelling pubmed-60715932018-08-03 gQTL: A Web Application for QTL Analysis Using the Collaborative Cross Mouse Genetic Reference Population Konganti, Kranti Ehrlich, Andre Rusyn, Ivan Threadgill, David W. G3 (Bethesda) Software and Data Resources Multi-parental recombinant inbred populations, such as the Collaborative Cross (CC) mouse genetic reference population, are increasingly being used for analysis of quantitative trait loci (QTL). However specialized analytic software for these complex populations is typically built in R that works only on command-line, which limits the utility of these powerful resources for many users. To overcome analytic limitations, we developed gQTL, a web accessible, simple graphical user interface application based on the DOQTL platform in R to perform QTL mapping using data from CC mice. Genetics Society of America 2018-06-07 /pmc/articles/PMC6071593/ /pubmed/29880557 http://dx.doi.org/10.1534/g3.118.200230 Text en Copyright © 2018 Konganti et al. http://creativecommons.org/licenses/by/4.0/ 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 Software and Data Resources
Konganti, Kranti
Ehrlich, Andre
Rusyn, Ivan
Threadgill, David W.
gQTL: A Web Application for QTL Analysis Using the Collaborative Cross Mouse Genetic Reference Population
title gQTL: A Web Application for QTL Analysis Using the Collaborative Cross Mouse Genetic Reference Population
title_full gQTL: A Web Application for QTL Analysis Using the Collaborative Cross Mouse Genetic Reference Population
title_fullStr gQTL: A Web Application for QTL Analysis Using the Collaborative Cross Mouse Genetic Reference Population
title_full_unstemmed gQTL: A Web Application for QTL Analysis Using the Collaborative Cross Mouse Genetic Reference Population
title_short gQTL: A Web Application for QTL Analysis Using the Collaborative Cross Mouse Genetic Reference Population
title_sort gqtl: a web application for qtl analysis using the collaborative cross mouse genetic reference population
topic Software and Data Resources
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6071593/
https://www.ncbi.nlm.nih.gov/pubmed/29880557
http://dx.doi.org/10.1534/g3.118.200230
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