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EXPLoRA-web: linkage analysis of quantitative trait loci using bulk segregant analysis

Identification of genomic regions associated with a phenotype of interest is a fundamental step toward solving questions in biology and improving industrial research. Bulk segregant analysis (BSA) combined with high-throughput sequencing is a technique to efficiently identify these genomic regions a...

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Autores principales: Pulido-Tamayo, Sergio, Duitama, Jorge, Marchal, Kathleen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4987886/
https://www.ncbi.nlm.nih.gov/pubmed/27105844
http://dx.doi.org/10.1093/nar/gkw298
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author Pulido-Tamayo, Sergio
Duitama, Jorge
Marchal, Kathleen
author_facet Pulido-Tamayo, Sergio
Duitama, Jorge
Marchal, Kathleen
author_sort Pulido-Tamayo, Sergio
collection PubMed
description Identification of genomic regions associated with a phenotype of interest is a fundamental step toward solving questions in biology and improving industrial research. Bulk segregant analysis (BSA) combined with high-throughput sequencing is a technique to efficiently identify these genomic regions associated with a trait of interest. However, distinguishing true from spuriously linked genomic regions and accurately delineating the genomic positions of these truly linked regions requires the use of complex statistical models currently implemented in software tools that are generally difficult to operate for non-expert users. To facilitate the exploration and analysis of data generated by bulked segregant analysis, we present EXPLoRA-web, a web service wrapped around our previously published algorithm EXPLoRA, which exploits linkage disequilibrium to increase the power and accuracy of quantitative trait loci identification in BSA analysis. EXPLoRA-web provides a user friendly interface that enables easy data upload and parallel processing of different parameter configurations. Results are provided graphically and as BED file and/or text file and the input is expected in widely used formats, enabling straightforward BSA data analysis. The web server is available at http://bioinformatics.intec.ugent.be/explora-web/.
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spelling pubmed-49878862016-08-22 EXPLoRA-web: linkage analysis of quantitative trait loci using bulk segregant analysis Pulido-Tamayo, Sergio Duitama, Jorge Marchal, Kathleen Nucleic Acids Res Web Server issue Identification of genomic regions associated with a phenotype of interest is a fundamental step toward solving questions in biology and improving industrial research. Bulk segregant analysis (BSA) combined with high-throughput sequencing is a technique to efficiently identify these genomic regions associated with a trait of interest. However, distinguishing true from spuriously linked genomic regions and accurately delineating the genomic positions of these truly linked regions requires the use of complex statistical models currently implemented in software tools that are generally difficult to operate for non-expert users. To facilitate the exploration and analysis of data generated by bulked segregant analysis, we present EXPLoRA-web, a web service wrapped around our previously published algorithm EXPLoRA, which exploits linkage disequilibrium to increase the power and accuracy of quantitative trait loci identification in BSA analysis. EXPLoRA-web provides a user friendly interface that enables easy data upload and parallel processing of different parameter configurations. Results are provided graphically and as BED file and/or text file and the input is expected in widely used formats, enabling straightforward BSA data analysis. The web server is available at http://bioinformatics.intec.ugent.be/explora-web/. Oxford University Press 2016-07-08 2016-04-21 /pmc/articles/PMC4987886/ /pubmed/27105844 http://dx.doi.org/10.1093/nar/gkw298 Text en © The Author(s) 2016. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Web Server issue
Pulido-Tamayo, Sergio
Duitama, Jorge
Marchal, Kathleen
EXPLoRA-web: linkage analysis of quantitative trait loci using bulk segregant analysis
title EXPLoRA-web: linkage analysis of quantitative trait loci using bulk segregant analysis
title_full EXPLoRA-web: linkage analysis of quantitative trait loci using bulk segregant analysis
title_fullStr EXPLoRA-web: linkage analysis of quantitative trait loci using bulk segregant analysis
title_full_unstemmed EXPLoRA-web: linkage analysis of quantitative trait loci using bulk segregant analysis
title_short EXPLoRA-web: linkage analysis of quantitative trait loci using bulk segregant analysis
title_sort explora-web: linkage analysis of quantitative trait loci using bulk segregant analysis
topic Web Server issue
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4987886/
https://www.ncbi.nlm.nih.gov/pubmed/27105844
http://dx.doi.org/10.1093/nar/gkw298
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