Cargando…

GALLO: An R package for genomic annotation and integration of multiple data sources in livestock for positional candidate loci

BACKGROUND: The development of high-throughput sequencing and genotyping methodologies has enabled the identification of thousands of genomic regions associated with several complex traits. The integration of multiple sources of biological information is a crucial step required to better understand...

Descripción completa

Detalles Bibliográficos
Autores principales: Fonseca, Pablo A S, Suárez-Vega, Aroa, Marras, Gabriele, Cánovas, Ángela
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7772745/
https://www.ncbi.nlm.nih.gov/pubmed/33377911
http://dx.doi.org/10.1093/gigascience/giaa149
_version_ 1783629933556269056
author Fonseca, Pablo A S
Suárez-Vega, Aroa
Marras, Gabriele
Cánovas, Ángela
author_facet Fonseca, Pablo A S
Suárez-Vega, Aroa
Marras, Gabriele
Cánovas, Ángela
author_sort Fonseca, Pablo A S
collection PubMed
description BACKGROUND: The development of high-throughput sequencing and genotyping methodologies has enabled the identification of thousands of genomic regions associated with several complex traits. The integration of multiple sources of biological information is a crucial step required to better understand patterns regulating the development of these traits. FINDINGS: Genomic Annotation in Livestock for positional candidate LOci (GALLO) is an R package developed for the accurate annotation of genes and quantitative trait loci (QTLs) located in regions identified in common genomic analyses performed in livestock, such as genome-wide association studies and transcriptomics using RNA sequencing. Moreover, GALLO allows the graphical visualization of gene and QTL annotation results, data comparison among different grouping factors (e.g., methods, breeds, tissues, statistical models, studies), and QTL enrichment in different livestock species such as cattle, pigs, sheep, and chickens. CONCLUSIONS: Consequently, GALLO is a useful package for annotation, identification of hidden patterns across datasets, and data mining previously reported associations, as well as the efficient examination of the genetic architecture of complex traits in livestock.
format Online
Article
Text
id pubmed-7772745
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Oxford University Press
record_format MEDLINE/PubMed
spelling pubmed-77727452021-01-05 GALLO: An R package for genomic annotation and integration of multiple data sources in livestock for positional candidate loci Fonseca, Pablo A S Suárez-Vega, Aroa Marras, Gabriele Cánovas, Ángela Gigascience Technical Note BACKGROUND: The development of high-throughput sequencing and genotyping methodologies has enabled the identification of thousands of genomic regions associated with several complex traits. The integration of multiple sources of biological information is a crucial step required to better understand patterns regulating the development of these traits. FINDINGS: Genomic Annotation in Livestock for positional candidate LOci (GALLO) is an R package developed for the accurate annotation of genes and quantitative trait loci (QTLs) located in regions identified in common genomic analyses performed in livestock, such as genome-wide association studies and transcriptomics using RNA sequencing. Moreover, GALLO allows the graphical visualization of gene and QTL annotation results, data comparison among different grouping factors (e.g., methods, breeds, tissues, statistical models, studies), and QTL enrichment in different livestock species such as cattle, pigs, sheep, and chickens. CONCLUSIONS: Consequently, GALLO is a useful package for annotation, identification of hidden patterns across datasets, and data mining previously reported associations, as well as the efficient examination of the genetic architecture of complex traits in livestock. Oxford University Press 2020-12-30 /pmc/articles/PMC7772745/ /pubmed/33377911 http://dx.doi.org/10.1093/gigascience/giaa149 Text en © The Author(s) 2020. Published by Oxford University Press GigaScience. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Technical Note
Fonseca, Pablo A S
Suárez-Vega, Aroa
Marras, Gabriele
Cánovas, Ángela
GALLO: An R package for genomic annotation and integration of multiple data sources in livestock for positional candidate loci
title GALLO: An R package for genomic annotation and integration of multiple data sources in livestock for positional candidate loci
title_full GALLO: An R package for genomic annotation and integration of multiple data sources in livestock for positional candidate loci
title_fullStr GALLO: An R package for genomic annotation and integration of multiple data sources in livestock for positional candidate loci
title_full_unstemmed GALLO: An R package for genomic annotation and integration of multiple data sources in livestock for positional candidate loci
title_short GALLO: An R package for genomic annotation and integration of multiple data sources in livestock for positional candidate loci
title_sort gallo: an r package for genomic annotation and integration of multiple data sources in livestock for positional candidate loci
topic Technical Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7772745/
https://www.ncbi.nlm.nih.gov/pubmed/33377911
http://dx.doi.org/10.1093/gigascience/giaa149
work_keys_str_mv AT fonsecapabloas galloanrpackageforgenomicannotationandintegrationofmultipledatasourcesinlivestockforpositionalcandidateloci
AT suarezvegaaroa galloanrpackageforgenomicannotationandintegrationofmultipledatasourcesinlivestockforpositionalcandidateloci
AT marrasgabriele galloanrpackageforgenomicannotationandintegrationofmultipledatasourcesinlivestockforpositionalcandidateloci
AT canovasangela galloanrpackageforgenomicannotationandintegrationofmultipledatasourcesinlivestockforpositionalcandidateloci