<HashMap><database>ENA</database><file_versions><headers><Content-Type>application/xml</Content-Type></headers><body><files><Vcf>ftp://ftp.sra.ebi.ac.uk/vol1/analysis/ERZ655/ERZ655466/68_Osativa_lines.vcf.gz</Vcf><Vcf>ftp://ftp.sra.ebi.ac.uk/vol1/analysis/ERZ655/ERZ655466/68_Osativa_lines.vcf.gz.tbi</Vcf><Vcf>ftp://ftp.sra.ebi.ac.uk/vol1/analysis/ERZ655/ERZ655466/68_Osativa_lines.vcf.gz.csi</Vcf></files><type>primary</type></body><statusCode>OK</statusCode><statusCodeValue>200</statusCodeValue></file_versions><scores/><additional><omics_type>Genomics</omics_type><center_name>European Bioinformatics Institute</center_name><center_name>Bioscience and Biotechnology Center, Nagoya University Genetic Resources Center, National Agriculture and Food Research Organization (NARO)</center_name><full_dataset_link>https://www.ebi.ac.uk/ena/browser/view/PRJEB27093</full_dataset_link><broker_name>EBI</broker_name><scientific_name>Oryza sativa</scientific_name><long_description>We initiated the project to identify factors regulating the deepwater response in rice. we carried out a genome-wide association study (GWAS) using a diversity panel of 28 Asian cultivated rice and a specialized panel consisting of 40 deepwater rice varieties. The extracted genomic DNA was subjected to genotyping with single-nucleotide polymorphism (SNP) markers using an Affymetrix GeneChip Rice 44k SNP Genotyping Array.</long_description><repository>ENA</repository></additional><is_claimable>false</is_claimable><name></name><description>Genome wide association study of deepwater rice (Oryza sativa)</description><dates><last_updated>2021-01-08</last_updated><first_public>2018-06-30</first_public></dates><accession>PRJEB27093</accession><cross_references><taxon>4530</taxon></cross_references></HashMap>