Submission GVM000064
2020-04-13
Shanghai Normal University
OrganismOryza sativa
VersionIRGSP build 4
Disease/Trait
BioProjectPRJCA002430
Sample numbers981
Abstract

We developed a method OutcrossSeq for mapping agronomically important loci in outcrossing crop based on whole-genome low-cost resequencing of large genetic population.We applied OutcrossSeq in hybrid crops (rice,Double Cross).

Release date2020-12-31
Available data
OutcorssSeq_Rice_Chr2.vcf.gz       http    ftp
OutcorssSeq_Rice_Chr1.vcf.gz       http    ftp
OutcorssSeq_Rice_Chr3.vcf.gz       http    ftp
OutcorssSeq_Rice_Chr4.vcf.gz       http    ftp
OutcorssSeq_Rice_Chr5.vcf.gz       http    ftp
OutcorssSeq_Rice_Chr6.vcf.gz       http    ftp
OutcorssSeq_Rice_Chr7.vcf.gz       http    ftp
OutcorssSeq_Rice_Chr8.vcf.gz       http    ftp
OutcorssSeq_Rice_Chr9.vcf.gz       http    ftp
OutcorssSeq_Rice_Chr10.vcf.gz       http    ftp
OutcorssSeq_Rice_Chr12.vcf.gz       http    ftp
OutcorssSeq_Rice_Chr11.vcf.gz       http    ftp