Evidence map›Paper›PMID 38352549›Full record

ArticlebioRxiv : the preprint server for biology2024

scCensus: Off-target scRNA-seq reads reveal meaningful biology.

Dongze He, Stephen M Mount, Rob Patro

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Dongze HeCenter for Bioinformatics and Computational Biology, University of Maryland, College Park, MD 20742, USA.ORCID 0000-0001-8259-7434
Stephen M MountDepartment of Cell Biology and Molecular Genetics, University of Maryland, College Park, MD 20742, USA.ORCID 0000-0003-2748-8205
Rob PatroCenter for Bioinformatics and Computational Biology, University of Maryland, College Park, MD 20742, USA.ORCID 0000-0001-8463-1675

Funding

A Modular Framework for Accurate, Interpretable, and Reproducible Analysis of Long Read RNA-Seq DataR01HG009937 · NHGRI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Michael Isaiah Love, Robert Patro · 2018 to 2026
$2.8M
NHGRI NIH HHS R01 HG009937
6 · The paper itself

Abstract

Single-cell RNA-sequencing (scRNA-seq) provides unprecedented insights into cellular heterogeneity. Although scRNA-seq reads from most prevalent and popular tagged-end protocols are expected to arise from the 3

Indexed as

antisense transcriptionchromatin structureenhancer RNAoff-target primingscRNA-seqsingle-cell multiomics

Identifiers

PMID38352549
PMCPMC10862729

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.