Corpus 1,285 assessed · 1,186 scored · 647 reproduced ≥75 · 174 flagged ·∅ 73.9/100
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GSE14695

GEO first seen 2012

Computational and Analytical Framework for Small RNA Profiling by High-Throughput Sequencing (standards)

Organism
Arabidopsis thaliana
Samples
3
Type
Non-coding RNA profiling by...
Submitted
2009-02-03

The purpose of this work was to describe a computational and analytical methodology for profiling small RNA by high-throughput sequencing. The datasets here were used to develop synthetic oligoribonucleotides as spike-in standards.

Provenance — who produced it, who reused it

Linked to 1 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
Noah FahlgrenKristin D KasschauJames C Carrington
Reused by

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 33 s compute

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