BioMercator V3: an upgrade of genetic map compilation and quantitative trait loci meta-analysis algorithms

Summary: Compilation of genetic maps combined to quantitative trait loci (QTL) meta-analysis has proven to be a powerful approach contributing to the identification of candidate genes underlying quantitative traits. BioMercator was the first software offering a complete set of algorithms and visuali...

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Detalles Bibliográficos
Autores principales: Sosnowski, Olivier, Charcosset, Alain, Joets, Johann
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2012
Materias:
Applications Note
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3400960/
https://www.ncbi.nlm.nih.gov/pubmed/22661647
http://dx.doi.org/10.1093/bioinformatics/bts313
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author Sosnowski, Olivier
Charcosset, Alain
Joets, Johann
author_facet Sosnowski, Olivier
Charcosset, Alain
Joets, Johann
author_sort Sosnowski, Olivier
collection PubMed
description Summary: Compilation of genetic maps combined to quantitative trait loci (QTL) meta-analysis has proven to be a powerful approach contributing to the identification of candidate genes underlying quantitative traits. BioMercator was the first software offering a complete set of algorithms and visualization tool covering all steps required to perform QTL meta-analysis. Despite several limitations, the software is still widely used. We developed a new version proposing additional up to date methods and improving graphical representation and exploration of large datasets. Availability and implementation: BioMercator V3 is implemented in JAVA and freely available (http://moulon.inra.fr/biomercator) Contact: joets@moulon.inra.fr
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spelling pubmed-34009602012-07-20 BioMercator V3: an upgrade of genetic map compilation and quantitative trait loci meta-analysis algorithms Sosnowski, Olivier Charcosset, Alain Joets, Johann Bioinformatics Applications Note Summary: Compilation of genetic maps combined to quantitative trait loci (QTL) meta-analysis has proven to be a powerful approach contributing to the identification of candidate genes underlying quantitative traits. BioMercator was the first software offering a complete set of algorithms and visualization tool covering all steps required to perform QTL meta-analysis. Despite several limitations, the software is still widely used. We developed a new version proposing additional up to date methods and improving graphical representation and exploration of large datasets. Availability and implementation: BioMercator V3 is implemented in JAVA and freely available (http://moulon.inra.fr/biomercator) Contact: joets@moulon.inra.fr Oxford University Press 2012-08-01 2012-06-02 /pmc/articles/PMC3400960/ /pubmed/22661647 http://dx.doi.org/10.1093/bioinformatics/bts313 Text en © The Author(s) 2012. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/3.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Applications Note
Sosnowski, Olivier
Charcosset, Alain
Joets, Johann
BioMercator V3: an upgrade of genetic map compilation and quantitative trait loci meta-analysis algorithms
title BioMercator V3: an upgrade of genetic map compilation and quantitative trait loci meta-analysis algorithms
title_full BioMercator V3: an upgrade of genetic map compilation and quantitative trait loci meta-analysis algorithms
title_fullStr BioMercator V3: an upgrade of genetic map compilation and quantitative trait loci meta-analysis algorithms
title_full_unstemmed BioMercator V3: an upgrade of genetic map compilation and quantitative trait loci meta-analysis algorithms
title_short BioMercator V3: an upgrade of genetic map compilation and quantitative trait loci meta-analysis algorithms
title_sort biomercator v3: an upgrade of genetic map compilation and quantitative trait loci meta-analysis algorithms
topic Applications Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3400960/
https://www.ncbi.nlm.nih.gov/pubmed/22661647
http://dx.doi.org/10.1093/bioinformatics/bts313
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AT joetsjohann biomercatorv3anupgradeofgeneticmapcompilationandquantitativetraitlocimetaanalysisalgorithms

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