Corpus 1,272 assessed · 1,173 scored · 643 reproduced ≥75 · 168 flagged ·∅ 74.1/100
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GSE123627

GEO first seen 2018

Bias-minimized quantification of microRNA reveals widespread alternative processing and 3′ end modification

Organism
Homo sapiens
Samples
11
Type
Non-coding RNA profiling by...
Submitted
2018-12-11

MicroRNAs (miRNAs) modulate diverse biological and pathological processes via post-transcriptional gene silencing. High-throughput small RNA sequencing (sRNA-seq) has been widely adopted to investigate the functions and regulatory mechanisms of miRNAs. However, accurate quantification of miRNAs has been limited owing to the severe ligation bias in conventional sRNA-seq methods. Here we quantify miRNAs and their variants (known as isomiRs) by an improved sRNA-seq protocol, termed AQ-seq (accurate...

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
Haedong KimJimi KimKijun KimHyeshik ChangKwontae YouV N Kim
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

Data type / assay
bulk-RNA-seq
Organism
Homo sapiens
Instrument
Illumina HiSeq 2500
Platform
ILLUMINA
Read type
short-read
Files available
FASTQ (raw reads)
N numbers (samples, groups)
11 / 11 runs
Completeness
100%
Metrics (value · how obtained)
checksum ok yes reported
total bases 6900048446 reported
total reads 132435144 reported
supplementary file types TSV reported
QC cost 8 s compute

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