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

GSE144753

GEO first seen 2022

An integrated genomics approach towards deciphering human genome codes shaping HIV proviral transcription and fate

Organism
Homo sapiens
Samples
1
Type
Genome binding/occupancy pro...
Submitted
2020-02-04

HIV integrates semi-randomly into the genome of immune cells and thus proviruses that persist in patients under long-term, highly active suppressive therapy can be detected in various positions (inside and outside) and orientations (same, convergent and divergent) respective to genes, promoters, and enhancers. Thus, this integration landscape heterogeneity can influence HIV transcription activity thereby dictating proviral fate (active vs latent). However, the effect of the integration site to p...

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
Ivan D’OrsoHolly Ruess
Reused by

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

Deep data QC

insufficient data to score

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

Data type / assay
ChIP-seq
Organism
Homo sapiens
Metrics (value · how obtained)
n content pct 0.007 measured
pct q20 bases 92.3 measured
pct q30 bases 89.7 measured
gc content pct 49.1 measured
mean read length 76 measured
mean base quality 33.5 measured
adapter content pct 0.04 measured
duplication rate pct 1.61 measured
How this grade was computed

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

pct q30 bases 89.7 measured ×1 99%
QC cost 25 s compute

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