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IonBreeders: bioinformatics plugins toward genomics-assisted breeding
Polymorphism information generated by next-generation sequencing (NGS) technologies has enabled applications of genome-wide markers assisted breeding. However, handling such large-scale data remains a challenge for experimental researchers and breeders, calling for the urgent development of a flexib...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Japanese Society of Breeding
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7372021/ https://www.ncbi.nlm.nih.gov/pubmed/32714063 http://dx.doi.org/10.1270/jsbbs.19141 |
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author | Ogiso-Tanaka, Eri Yabe, Shiori Tanaka, Tsuyoshi |
author_facet | Ogiso-Tanaka, Eri Yabe, Shiori Tanaka, Tsuyoshi |
author_sort | Ogiso-Tanaka, Eri |
collection | PubMed |
description | Polymorphism information generated by next-generation sequencing (NGS) technologies has enabled applications of genome-wide markers assisted breeding. However, handling such large-scale data remains a challenge for experimental researchers and breeders, calling for the urgent development of a flexible and straightforward analysis tool for NGS data. We developed “IonBreeders” as bioinformatics plugins that implement general analysis steps from genotyping to genomic prediction. IonBreeders comprises three plugins, “ABH”, “IMPUTATION”, and “GENOMIC PREDICTION”, for format conversion of genotyping data, preprocessing and imputation of genotyping data, and genomic prediction, respectively. “ABH” converts genotyping data derived from NGS into the ABH format, which is acceptable for our further plugins and with other breeding software tools, R/qtl, MapMaker, and AntMap. “IMPUTATION” filters out non-informative markers and imputes missing marker genotypes. In “GENOMIC PREDICTION”, users can use four statistical methods based on their target trait, quantitative trait locus effect, and number of markers, and construct a prediction model for genomic selection. IonBreeders is operated in Torrent Suite, but can also handle genotype data in standard formats, e.g., Variant Call Format (VCF), by format conversion using free software or our provided scripts. |
format | Online Article Text |
id | pubmed-7372021 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Japanese Society of Breeding |
record_format | MEDLINE/PubMed |
spelling | pubmed-73720212020-07-23 IonBreeders: bioinformatics plugins toward genomics-assisted breeding Ogiso-Tanaka, Eri Yabe, Shiori Tanaka, Tsuyoshi Breed Sci Note Polymorphism information generated by next-generation sequencing (NGS) technologies has enabled applications of genome-wide markers assisted breeding. However, handling such large-scale data remains a challenge for experimental researchers and breeders, calling for the urgent development of a flexible and straightforward analysis tool for NGS data. We developed “IonBreeders” as bioinformatics plugins that implement general analysis steps from genotyping to genomic prediction. IonBreeders comprises three plugins, “ABH”, “IMPUTATION”, and “GENOMIC PREDICTION”, for format conversion of genotyping data, preprocessing and imputation of genotyping data, and genomic prediction, respectively. “ABH” converts genotyping data derived from NGS into the ABH format, which is acceptable for our further plugins and with other breeding software tools, R/qtl, MapMaker, and AntMap. “IMPUTATION” filters out non-informative markers and imputes missing marker genotypes. In “GENOMIC PREDICTION”, users can use four statistical methods based on their target trait, quantitative trait locus effect, and number of markers, and construct a prediction model for genomic selection. IonBreeders is operated in Torrent Suite, but can also handle genotype data in standard formats, e.g., Variant Call Format (VCF), by format conversion using free software or our provided scripts. Japanese Society of Breeding 2020-06 2020-06-05 /pmc/articles/PMC7372021/ /pubmed/32714063 http://dx.doi.org/10.1270/jsbbs.19141 Text en Copyright © 2020 by JAPANESE SOCIETY OF BREEDING http://creativecommons.org/licenses/by-nc-nd/3.0 This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Note Ogiso-Tanaka, Eri Yabe, Shiori Tanaka, Tsuyoshi IonBreeders: bioinformatics plugins toward genomics-assisted breeding |
title | IonBreeders: bioinformatics plugins toward genomics-assisted breeding |
title_full | IonBreeders: bioinformatics plugins toward genomics-assisted breeding |
title_fullStr | IonBreeders: bioinformatics plugins toward genomics-assisted breeding |
title_full_unstemmed | IonBreeders: bioinformatics plugins toward genomics-assisted breeding |
title_short | IonBreeders: bioinformatics plugins toward genomics-assisted breeding |
title_sort | ionbreeders: bioinformatics plugins toward genomics-assisted breeding |
topic | Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7372021/ https://www.ncbi.nlm.nih.gov/pubmed/32714063 http://dx.doi.org/10.1270/jsbbs.19141 |
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