Corpus 1,276 assessed · 1,177 scored · 644 reproduced ≥75 · 170 flagged ·∅ 74/100
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GSE62971

GEO first seen 2018

Deep Sequencing Analysis of miRNAs Expression in Breast Muscle of Fast-Growing and Slow-Growing Broilers

Organism
Gallus gallus
Samples
4
Type
Non-coding RNA profiling by...
Submitted
2014-11-04

To investigate the function of miRNAs in chicken growth, breast muscle tissues of the two-tail samples (highest and lowest body weight) from Recessive White Rock (WRR) and Xinghua Chickens (XH) were performed on high throughput small RNA deep sequencing. In this study, a total of 921 miRNAs were identified, including 733 known mature miRNAs and 188 novel miRNAs. There were 200, 279, 257 and 297 differentially expressed miRNAs in the contrasts of WRRh Vs. WRRl, WRRh Vs. XHh, WRRl Vs. XHl, and XHh...

Provenance — who produced it, who reused it

Linked to 4 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
Hongjia OuyangXiaomei HeQinghua Nie
Reused by

2 further papers cite 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 22 s compute

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