Corpus 1,272 assessed · 1,173 scored · 643 reproduced ≥75 · 168 flagged ·∅ 74.1/100
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GSE52529

GEO first seen 2014

Pseudo-temporal ordering of individual cells reveals regulators of differentiation

Organism
Homo sapiens
Samples
384
Type
Expression profiling by high...
Submitted
2013-11-19

Single-cell expression profiling by RNA-Seq promises to exploit cell-to-cell variation in gene expression to reveal regulatory circuitry governing cell differentiation and other biological processes. Here, we describe Monocle, a novel unsupervised algorithm for ordering cells by progress through differentiation that dramatically increases temporal resolution of expression measurements. This reordering unmasks switch-like changes in expression of key regulatory factors, reveals sequentially orga...

Provenance — who produced it, who reused it

Linked to 23 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
Cole TrapnellDavide CacchiarelliJonna GrimbsbyPrapti PokharelShuqiang LiMichael MorseTarjei MikkelsenJohn Rinn
Reused by

13 further papers cite this accession but reuse could not be confirmed.

Deep data QC

99/100 · A

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

Data type / assay
bulk-RNA-seq
Organism
Homo sapiens
Instrument
Illumina HiSeq 2000
Platform
ILLUMINA
Read type
short-read
Files available
FASTQ (raw reads)
N numbers (samples, groups)
384 / 384 runs
Completeness
100%
Metrics (value · how obtained)
checksum ok yes reported
total bases 218739143446 reported
total reads 1143106971 reported
n content pct 0.032 measured
pct q20 bases 97.3 measured
pct q30 bases 94.5 measured
gc content pct 44.4 measured
mean read length 100 measured
mean base quality 36.6 measured
adapter content pct 3.24 measured
duplication rate pct 20.7 measured
supplementary file types TXT reported
How this grade was computed
Weighted mean of 4 scored metric(s) → 99/100

The A grade is a transparent weighted average. Each metric below scored from 0–100% against the published bulk-RNA-seq thresholds, weighted by its importance; nothing is hidden or subjective.

pct q30 bases 94.5 measured ×1 100%
mean base quality 36.6 measured ×0.6 100%
adapter content pct 3.24 measured ×0.4 93%
duplication rate pct 20.7 measured ×0.4 100%
QC cost 16 s compute

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