Evidence map›Paper›PMID 30906538›Full record

ArticleF1000Research2019

Relative Abundance of Transcripts (

Kimon Froussios, Kira Mourão, Gordon Simpson, Geoff Barton, Nicholas Schurch

Open access · goldAbstract readComparative Study
In one paragraph

Article in F1000Research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
1.9field-weighted citation impact, top 14% of its field
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

22 citing papers in PubMed, 40 citations in OpenAlex.

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  13. Quantifying transcriptome diversity: a review.Briefings in functional genomics · 2024
    Review
  14. Quantitative Analysis of Isoform Switching in Cancer.International journal of molecular sciences · 2023
    Article
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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

5 authors at 2 institutions in 1 country.

Kimon FroussiosDivision of Computational Biology, School of Life Sciences, University of Dundee, Dundee, DD1 5EH, UK.
Kira MourãoDivision of Computational Biology, School of Life Sciences, University of Dundee, Dundee, DD1 5EH, UK.
Gordon SimpsonCentre for Gene Regulation & Expression, School of Life Sciences, University of Dundee, Dundee, DD1 5EH, UK.
Geoff BartonDivision of Computational Biology, School of Life Sciences, University of Dundee, Dundee, DD1 5EH, UK.ORCID 0000-0002-9014-5355
Nicholas SchurchDivision of Computational Biology, School of Life Sciences, University of Dundee, Dundee, DD1 5EH, UK.ORCID 0000-0001-9068-9654
University of Dundee · GBJames Hutton Institute · GB

Funding

Biotechnology and Biological Sciences Research Council BB/H002286/1Biotechnology and Biological Sciences Research Council BB/J00247X/1Biotechnology and Biological Sciences Research Council BB/M010066/1Wellcome Trust 098439/Z/12/ZWellcome Trust WT097945
6 · The paper itself

Abstract

The biological importance of changes in RNA expression is reflected by the wide variety of tools available to characterise these changes from RNA-seq data. Several tools exist for detecting differential transcript isoform usage (DTU) from aligned or assembled RNA-seq data, but few exist for DTU detection from alignment-free RNA-seq quantifications. We present the

Indexed as

Gene Expression ProfilingRNA-SeqAnimalsDrosophilaHumansProtein IsoformsReproducibility of ResultsTranscriptomeProtein IsoformsAlgorithmsDifferential Isoform UsageFeature selectionGene regulationTranscriptional regulationTranscriptomicsVisualization

Identifiers

PMID30906538
PMCPMC6426083
OpenAlexW2915489249

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.