Evidence map›Paper›PMID 31023725›Full record

ArticleG3 (Bethesda, Md.)2019

DPAC: A Tool for Differential Poly(A)-Cluster Usage from Poly(A)-Targeted RNAseq Data.

Andrew Routh

Abstract read
In one paragraph

Article in G3 (Bethesda, Md.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

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  15. Resolution of polycistronic RNA by SL2RNA (New York, N.Y.) · 2020
    Article
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

1 author.

Andrew RouthDepartment of Biochemistry and Molecular Biology alrouth@utmb.edu.ORCID 0000-0002-2874-5990

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Poly(A)-tail targeted RNAseq approaches, such as 3'READS, PAS-Seq and Poly(A)-ClickSeq, are becoming popular alternatives to random-primed RNAseq to focus sequencing reads just to the 3' ends of polyadenylated RNAs to identify poly(A)-sites and characterize changes in their usage. Additionally, we and others have demonstrated that these approaches perform similarly to other RNAseq strategies for differential gene expression analysis, while saving on the volume of sequencing data required and providing a simpler library synthesis strategy. Here, we present DPAC (

Indexed as

Computational BiologyPoly ASequence Analysis, RNASoftwareBiomarkersCluster AnalysisExonsGene Expression RegulationGene Knockdown TechniquesHeLa CellsHumansMolecular Sequence AnnotationPolyadenylationRNA, MessengerBiomarkersPoly ARNA, MessengerAlternative polyadenylationClickSeqDifferential gene expressionPoly(A)-sites

Identifiers

PMID31023725
PMCPMC6553543

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.