Evidence map›Paper›PMID 33849458›Full record

ArticleBMC bioinformatics2021

Streamlining differential exon and 3' UTR usage with diffUTR.

Stefan Gerber, Gerhard Schratt, Pierre-Luc Germain

Abstract read
In one paragraph

Article in BMC bioinformatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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.

Stefan GerberGroup of Computational Neurogenomics, D-HEST Institute for Neurosciences, ETH Zürich, Winterthurerstrasse 190, 8057, Zurich, Switzerland.
Gerhard SchrattLab of Systems Neuroscience, D-HEST Institute for Neurosciences, ETH Zürich, Winterthurerstrasse 190, 8057, Zurich, Switzerland.
Pierre-Luc GermainGroup of Computational Neurogenomics, D-HEST Institute for Neurosciences, ETH Zürich, Winterthurerstrasse 190, 8057, Zurich, Switzerland. pierre-luc.germain@hest.ethz.ch.ORCID http://orcid.org/0000-0003-3418-4218

Funding

Eidgenössische Technische Hochschule Zürich ETH-24 18-2 (NeuroSno)Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung SNF_179651Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung SNF_189486
6 · The paper itself

Abstract

backgroundDespite the importance of alternative poly-adenylation and 3' UTR length for a variety of biological phenomena, there are limited means of detecting UTR changes from standard transcriptomic data.

resultsWe present the diffUTR Bioconductor package which streamlines and improves upon differential exon usage (DEU) analyses, and leverages existing DEU tools and alternative poly-adenylation site databases to enable differential 3' UTR usage analysis. We demonstrate the diffUTR features and show that it is more flexible and more accurate than state-of-the-art alternatives, both in simulations and in real data.

conclusionsdiffUTR enables differential 3' UTR analysis and more generally facilitates DEU and the exploration of their results.

Indexed as

Computational BiologyPoly A3' Untranslated RegionsAlternative SplicingExonsTranscriptome3' Untranslated RegionsPoly AAlternative poly-adenylationAlternative splicingDifferential exon usageGene expressionRNAseqTranscriptomicUntranslated regionUTR

Identifiers

PMID33849458
PMCPMC8045333

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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.