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Haplotag: Software for Haplotype-Based Genotyping-by-Sequencing Analysis
Genotyping-by-sequencing (GBS), and related methods, are based on high-throughput short-read sequencing of genomic complexity reductions followed by discovery of single nucleotide polymorphisms (SNPs) within sequence tags. This provides a powerful and economical approach to whole-genome genotyping,...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Genetics Society of America
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4825656/ https://www.ncbi.nlm.nih.gov/pubmed/26818073 http://dx.doi.org/10.1534/g3.115.024596 |
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author | Tinker, Nicholas A. Bekele, Wubishet A. Hattori, Jiro |
author_facet | Tinker, Nicholas A. Bekele, Wubishet A. Hattori, Jiro |
author_sort | Tinker, Nicholas A. |
collection | PubMed |
description | Genotyping-by-sequencing (GBS), and related methods, are based on high-throughput short-read sequencing of genomic complexity reductions followed by discovery of single nucleotide polymorphisms (SNPs) within sequence tags. This provides a powerful and economical approach to whole-genome genotyping, facilitating applications in genomics, diversity analysis, and molecular breeding. However, due to the complexity of analyzing large data sets, applications of GBS may require substantial time, expertise, and computational resources. Haplotag, the novel GBS software described here, is freely available, and operates with minimal user-investment on widely available computer platforms. Haplotag is unique in fulfilling the following set of criteria: (1) operates without a reference genome; (2) can be used in a polyploid species; (3) provides a discovery mode, and a production mode; (4) discovers polymorphisms based on a model of tag-level haplotypes within sequenced tags; (5) reports SNPs as well as haplotype-based genotypes; and (6) provides an intuitive visual “passport” for each inferred locus. Haplotag is optimized for use in a self-pollinating plant species. |
format | Online Article Text |
id | pubmed-4825656 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Genetics Society of America |
record_format | MEDLINE/PubMed |
spelling | pubmed-48256562016-04-11 Haplotag: Software for Haplotype-Based Genotyping-by-Sequencing Analysis Tinker, Nicholas A. Bekele, Wubishet A. Hattori, Jiro G3 (Bethesda) Investigations Genotyping-by-sequencing (GBS), and related methods, are based on high-throughput short-read sequencing of genomic complexity reductions followed by discovery of single nucleotide polymorphisms (SNPs) within sequence tags. This provides a powerful and economical approach to whole-genome genotyping, facilitating applications in genomics, diversity analysis, and molecular breeding. However, due to the complexity of analyzing large data sets, applications of GBS may require substantial time, expertise, and computational resources. Haplotag, the novel GBS software described here, is freely available, and operates with minimal user-investment on widely available computer platforms. Haplotag is unique in fulfilling the following set of criteria: (1) operates without a reference genome; (2) can be used in a polyploid species; (3) provides a discovery mode, and a production mode; (4) discovers polymorphisms based on a model of tag-level haplotypes within sequenced tags; (5) reports SNPs as well as haplotype-based genotypes; and (6) provides an intuitive visual “passport” for each inferred locus. Haplotag is optimized for use in a self-pollinating plant species. Genetics Society of America 2016-01-26 /pmc/articles/PMC4825656/ /pubmed/26818073 http://dx.doi.org/10.1534/g3.115.024596 Text en Copyright © 2016 Tinker 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 | Investigations Tinker, Nicholas A. Bekele, Wubishet A. Hattori, Jiro Haplotag: Software for Haplotype-Based Genotyping-by-Sequencing Analysis |
title | Haplotag: Software for Haplotype-Based Genotyping-by-Sequencing Analysis |
title_full | Haplotag: Software for Haplotype-Based Genotyping-by-Sequencing Analysis |
title_fullStr | Haplotag: Software for Haplotype-Based Genotyping-by-Sequencing Analysis |
title_full_unstemmed | Haplotag: Software for Haplotype-Based Genotyping-by-Sequencing Analysis |
title_short | Haplotag: Software for Haplotype-Based Genotyping-by-Sequencing Analysis |
title_sort | haplotag: software for haplotype-based genotyping-by-sequencing analysis |
topic | Investigations |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4825656/ https://www.ncbi.nlm.nih.gov/pubmed/26818073 http://dx.doi.org/10.1534/g3.115.024596 |
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