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Accession: PRJNA1055582 ID: 1055582

Extreme trait GWAS (Et-GWAS): Unraveling rare variants in the 3000 rice genome

Using extreme bulk pooling and allele frequency assessment, the Graphical User Interface (GUI) enabled association technique successfully revealed relationships between genetic variations and grain yield under drought stress condition.
AccessionPRJNA1055582
Data TypeRaw sequence reads
ScopeMultispecies
SubmissionRegistration date: 21-Dec-2023
- International Rice research institute
- International Rice Research Institute
RelevanceAgricultural
Project Data:
Resource NameNumber
of Links
Sequence data
SRA Experiments9
Other datasets
BioSample9
SRA Data Details
ParameterValue
Data volume, Gbases117
Data volume, Mbytes38649

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