Evidence map›Paper›PMID 30655364›Full record

ArticleLife science alliance2019

A junction coverage compatibility score to quantify the reliability of transcript abundance estimates and annotation catalogs.

Charlotte Soneson, Michael I Love, Rob Patro, Shobbir Hussain, Dheeraj Malhotra, Mark D Robinson

Abstract read
In one paragraph

Article in Life science alliance, 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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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

6 authors.

Charlotte SonesonInstitute of Molecular Life Sciences, University of Zurich, Zurich, Switzerland charlotte.soneson@fmi.ch.ORCID 0000-0003-3833-2169
Michael I LoveDepartment of Biostatistics, University of North Carolina-Chapel Hill, Chapel Hill, NC, USA.ORCID 0000-0001-8401-0545
Rob PatroDepartment of Computer Science, Stony Brook University, NY, USA.
Shobbir HussainDepartment of Biology and Biochemistry, University of Bath, Bath, UK.ORCID 0000-0003-2934-9786
Dheeraj MalhotraF. Hoffmann-La Roche Ltd, Pharma Research and Early Development, Neuroscience, Ophthalmology and Rare Diseases, Roche Innovation Center Basel, Basel, Switzerland.ORCID 0000-0003-4700-4407
Mark D RobinsonInstitute of Molecular Life Sciences, University of Zurich, Zurich, Switzerland mark.robinson@imls.uzh.ch.ORCID 0000-0002-3048-5518

Funding

UNC-CH CENTER FOR ENVIRONMENTAL HEALTH &SUSCEPTIBILITYP30ES010126 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Stephanie Engel · 2001 to 2026
$36.3M
Statistical Methods for Cancer Clinical TrialsP01CA142538 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KOSOROK, MICHAEL R · 2010 to 2019
$21.3M
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
Multi-tissue and network models for next-generation EQTL studiesR01HG009125 · NHGRI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI NOBEL, ANDREW B, WRIGHT, FRED A. · 2016 to 2018
$1.1M
Biotechnology and Biological Sciences Research Council BB/N000749/1NCI NIH HHS P01 CA142538NHGRI NIH HHS R01 HG009125NHGRI NIH HHS R01 HG009937NIEHS NIH HHS P30 ES010126
6 · The paper itself

Abstract

Most methods for statistical analysis of RNA-seq data take a matrix of abundance estimates for some type of genomic features as their input, and consequently the quality of any obtained results is directly dependent on the quality of these abundances. Here, we present the junction coverage compatibility score, which provides a way to evaluate the reliability of transcript-level abundance estimates and the accuracy of transcript annotation catalogs. It works by comparing the observed number of reads spanning each annotated splice junction in a genomic region to the predicted number of junction-spanning reads, inferred from the estimated transcript abundances and the genomic coordinates of the corresponding annotated transcripts. We show that although most genes show good agreement between the observed and predicted junction coverages, there is a small set of genes that do not. Genes with poor agreement are found regardless of the method used to estimate transcript abundances, and the corresponding transcript abundances should be treated with care in any downstream analyses.

Indexed as

Research DesignRNA-Seq3' Untranslated RegionsData AccuracyExonsGenesGenome, HumanGenomic LibraryHumansIntronsProtein IsoformsReproducibility of ResultsRNA PrecursorsTranscriptome3' Untranslated RegionsProtein IsoformsRNA Precursors

Identifiers

PMID30655364
PMCPMC6337739

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LicenceCC BY
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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.