首页    期刊浏览 2024年11月28日 星期四
登录注册

文章基本信息

  • 标题:Verification of Arabidopsis stock collections using SNPmatch, a tool for genotyping high-plexed samples
  • 本地全文:下载
  • 作者:Rahul Pisupati ; Ilka Reichardt ; Ümit Seren
  • 期刊名称:Scientific Data
  • 电子版ISSN:2052-4463
  • 出版年度:2017
  • 卷号:4
  • DOI:10.1038/sdata.2017.184
  • 语种:English
  • 出版社:Nature Publishing Group
  • 摘要: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.
国家哲学社会科学文献中心版权所有