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Fragman: an R package for fragment analysis
BACKGROUND: Determination of microsatellite lengths or other DNA fragment types is an important initial component of many genetic studies such as mutation detection, linkage and quantitative trait loci (QTL) mapping, genetic diversity, pedigree analysis, and detection of heterozygosity. A handful of...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4839125/ https://www.ncbi.nlm.nih.gov/pubmed/27098093 http://dx.doi.org/10.1186/s12863-016-0365-6 |
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author | Covarrubias-Pazaran, Giovanny Diaz-Garcia, Luis Schlautman, Brandon Salazar, Walter Zalapa, Juan |
author_facet | Covarrubias-Pazaran, Giovanny Diaz-Garcia, Luis Schlautman, Brandon Salazar, Walter Zalapa, Juan |
author_sort | Covarrubias-Pazaran, Giovanny |
collection | PubMed |
description | BACKGROUND: Determination of microsatellite lengths or other DNA fragment types is an important initial component of many genetic studies such as mutation detection, linkage and quantitative trait loci (QTL) mapping, genetic diversity, pedigree analysis, and detection of heterozygosity. A handful of commercial and freely available software programs exist for fragment analysis; however, most of them are platform dependent and lack high-throughput applicability. RESULTS: We present the R package Fragman to serve as a freely available and platform independent resource for automatic scoring of DNA fragment lengths diversity panels and biparental populations. The program analyzes DNA fragment lengths generated in Applied Biosystems® (ABI) either manually or automatically by providing panels or bins. The package contains additional tools for converting the allele calls to GenAlEx, JoinMap® and OneMap software formats mainly used for genetic diversity and generating linkage maps in plant and animal populations. Easy plotting functions and multiplexing friendly capabilities are some of the strengths of this R package. Fragment analysis using a unique set of cranberry (Vaccinium macrocarpon) genotypes based on microsatellite markers is used to highlight the capabilities of Fragman. CONCLUSION: Fragman is a valuable new tool for genetic analysis. The package produces equivalent results to other popular software for fragment analysis while possessing unique advantages and the possibility of automation for high-throughput experiments by exploiting the power of R. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12863-016-0365-6) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4839125 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-48391252016-04-22 Fragman: an R package for fragment analysis Covarrubias-Pazaran, Giovanny Diaz-Garcia, Luis Schlautman, Brandon Salazar, Walter Zalapa, Juan BMC Genet Software BACKGROUND: Determination of microsatellite lengths or other DNA fragment types is an important initial component of many genetic studies such as mutation detection, linkage and quantitative trait loci (QTL) mapping, genetic diversity, pedigree analysis, and detection of heterozygosity. A handful of commercial and freely available software programs exist for fragment analysis; however, most of them are platform dependent and lack high-throughput applicability. RESULTS: We present the R package Fragman to serve as a freely available and platform independent resource for automatic scoring of DNA fragment lengths diversity panels and biparental populations. The program analyzes DNA fragment lengths generated in Applied Biosystems® (ABI) either manually or automatically by providing panels or bins. The package contains additional tools for converting the allele calls to GenAlEx, JoinMap® and OneMap software formats mainly used for genetic diversity and generating linkage maps in plant and animal populations. Easy plotting functions and multiplexing friendly capabilities are some of the strengths of this R package. Fragment analysis using a unique set of cranberry (Vaccinium macrocarpon) genotypes based on microsatellite markers is used to highlight the capabilities of Fragman. CONCLUSION: Fragman is a valuable new tool for genetic analysis. The package produces equivalent results to other popular software for fragment analysis while possessing unique advantages and the possibility of automation for high-throughput experiments by exploiting the power of R. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12863-016-0365-6) contains supplementary material, which is available to authorized users. BioMed Central 2016-04-21 /pmc/articles/PMC4839125/ /pubmed/27098093 http://dx.doi.org/10.1186/s12863-016-0365-6 Text en © Covarrubias-Pazaran et al. 2016 Open AccessThis article is 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 you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Software Covarrubias-Pazaran, Giovanny Diaz-Garcia, Luis Schlautman, Brandon Salazar, Walter Zalapa, Juan Fragman: an R package for fragment analysis |
title | Fragman: an R package for fragment analysis |
title_full | Fragman: an R package for fragment analysis |
title_fullStr | Fragman: an R package for fragment analysis |
title_full_unstemmed | Fragman: an R package for fragment analysis |
title_short | Fragman: an R package for fragment analysis |
title_sort | fragman: an r package for fragment analysis |
topic | Software |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4839125/ https://www.ncbi.nlm.nih.gov/pubmed/27098093 http://dx.doi.org/10.1186/s12863-016-0365-6 |
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