Corpus 1,272 assessed · 1,173 scored · 643 reproduced ≥75 · 168 flagged ·∅ 74.1/100
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GSE71553

GEO first seen 2016

High Density Rice Array (HDRA6.4) developed by the McCouch-Rice Lab at Cornell University

Organism
Oryza sativa
Samples
1,568
Type
Genome variation profiling b...
Submitted
2015-07-30

A High Density Rice Array (HDRA) was developed as an Affymetrix Custom GeneChip Array by the McCouch Rice Lab at Cornell University. The HDRA assays 700,000 SNPs, or approximately one SNP every 0.54 Kb across the rice genome (genome size = 380 Mb). It was designed to capture most of the haplotype variation observed in a discovery panel consisting of 16M SNPs (generated by sequencing 125 rice genomes at ~7X genome coverage) and to maximize the inclusion of non-synonymous SNPs. Six probes per SNP...

Provenance — who produced it, who reused it

Linked to 2 papers in the literature. Roles are inferred factual signals (who deposited the data vs who reused it), with counts — never a judgement about any author.

Deposited / produced by
Mark H WrightChih-Wei TungGenevieve DeClerckFrancisco Agosto-PérezSandra E HarringtonYuxin ShiNamrata SinghKenneth L McNallyKowaru EbanaMasahiro YanoGeorgia EizengaAnna McClungJason MezeySusan R McCouch
Reused by

1 further paper cites this accession but reuse could not be confirmed.

Deep data QC

metadata only · no data-level QC for this type

Standardized, field-standard QC computed by touching the data — every metric states how it was obtained

No quantitative QC rubric exists for this data type yet, so it is deliberately left unscored — this is an honest "not applicable", not a poor rating.

QC cost 23 s compute

measured = computed from the data · extrapolated/reported = derived or from the repository · dq-1.0 · provisional — verify independently