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Verification of Arabidopsis stock collections using SNPmatch, a tool for genotyping high-plexed samples

Large-scale studies such as the Arabidopsis thaliana ‘1,001 Genomes’ Project require routine genotyping of stocks to avoid sample contamination. To genotype samples efficiently and economically, sequencing must be inexpensive and data processing simple. Here we present SNPmatch, a tool that identifi...

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Autores principales: Pisupati, Rahul, Reichardt, Ilka, Seren, Ümit, Korte, Pamela, Nizhynska, Viktoria, Kerdaffrec, Envel, Uzunova, Kristina, Rabanal, Fernando A., Filiault, Daniele L., Nordborg, Magnus
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5744633/
https://www.ncbi.nlm.nih.gov/pubmed/29257129
http://dx.doi.org/10.1038/sdata.2017.184
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author Pisupati, Rahul
Reichardt, Ilka
Seren, Ümit
Korte, Pamela
Nizhynska, Viktoria
Kerdaffrec, Envel
Uzunova, Kristina
Rabanal, Fernando A.
Filiault, Daniele L.
Nordborg, Magnus
author_facet Pisupati, Rahul
Reichardt, Ilka
Seren, Ümit
Korte, Pamela
Nizhynska, Viktoria
Kerdaffrec, Envel
Uzunova, Kristina
Rabanal, Fernando A.
Filiault, Daniele L.
Nordborg, Magnus
author_sort Pisupati, Rahul
collection PubMed
description Large-scale studies such as the Arabidopsis thaliana ‘1,001 Genomes’ Project require routine genotyping of stocks to avoid sample contamination. To genotype samples efficiently and economically, sequencing must be inexpensive and data processing simple. Here we present SNPmatch, a tool that identifies strains (or inbred lines, or accessions) by matching them to a SNP database. We tested the tool by performing low-coverage resequencing of over 2,000 strains from our lab seed stock collection. SNPmatch correctly genotyped samples from 1-fold coverage sequencing data, and could also identify the parents of F1 or F2 individuals. SNPmatch can be run either on the command line or through AraGeno (https://arageno.gmi.oeaw.ac.at), a web interface that permits sample genotyping from a user-uploaded VCF or BED file.
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spelling pubmed-57446332017-12-28 Verification of Arabidopsis stock collections using SNPmatch, a tool for genotyping high-plexed samples Pisupati, Rahul Reichardt, Ilka Seren, Ümit Korte, Pamela Nizhynska, Viktoria Kerdaffrec, Envel Uzunova, Kristina Rabanal, Fernando A. Filiault, Daniele L. Nordborg, Magnus Sci Data Article Large-scale studies such as the Arabidopsis thaliana ‘1,001 Genomes’ Project require routine genotyping of stocks to avoid sample contamination. To genotype samples efficiently and economically, sequencing must be inexpensive and data processing simple. Here we present SNPmatch, a tool that identifies strains (or inbred lines, or accessions) by matching them to a SNP database. We tested the tool by performing low-coverage resequencing of over 2,000 strains from our lab seed stock collection. SNPmatch correctly genotyped samples from 1-fold coverage sequencing data, and could also identify the parents of F1 or F2 individuals. SNPmatch can be run either on the command line or through AraGeno (https://arageno.gmi.oeaw.ac.at), a web interface that permits sample genotyping from a user-uploaded VCF or BED file. Nature Publishing Group 2017-12-19 /pmc/articles/PMC5744633/ /pubmed/29257129 http://dx.doi.org/10.1038/sdata.2017.184 Text en Copyright © 2017, The Author(s) http://creativecommons.org/licenses/by/4.0/ Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as 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 images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Pisupati, Rahul
Reichardt, Ilka
Seren, Ümit
Korte, Pamela
Nizhynska, Viktoria
Kerdaffrec, Envel
Uzunova, Kristina
Rabanal, Fernando A.
Filiault, Daniele L.
Nordborg, Magnus
Verification of Arabidopsis stock collections using SNPmatch, a tool for genotyping high-plexed samples
title Verification of Arabidopsis stock collections using SNPmatch, a tool for genotyping high-plexed samples
title_full Verification of Arabidopsis stock collections using SNPmatch, a tool for genotyping high-plexed samples
title_fullStr Verification of Arabidopsis stock collections using SNPmatch, a tool for genotyping high-plexed samples
title_full_unstemmed Verification of Arabidopsis stock collections using SNPmatch, a tool for genotyping high-plexed samples
title_short Verification of Arabidopsis stock collections using SNPmatch, a tool for genotyping high-plexed samples
title_sort verification of arabidopsis stock collections using snpmatch, a tool for genotyping high-plexed samples
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5744633/
https://www.ncbi.nlm.nih.gov/pubmed/29257129
http://dx.doi.org/10.1038/sdata.2017.184
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