Evidence map›Paper›PMID 21896509›Full record

ArticleBioinformatics (Oxford, England)2011

SpliceTrap: a method to quantify alternative splicing under single cellular conditions.

Jie Wu, Martin Akerman, Shuying Sun, W Richard McCombie, Adrian R Krainer, Michael Q Zhang

Open access · bronzeAbstract readEvaluation Study
In one paragraph

Article in Bioinformatics (Oxford, England), 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed
3.6field-weighted citation impact, top 6% 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

57 citing papers in PubMed, 99 citations in OpenAlex.

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  7. Quantifying transcriptome diversity: a review.Briefings in functional genomics · 2024
    Review
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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 at 4 institutions in 2 countries.

Jie WuCold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA.
Martin Akerman
Shuying Sun
W Richard McCombie
Adrian R Krainer
Michael Q Zhang
Cold Spring Harbor Laboratory · USStony Brook University · USThe University of Texas at Dallas · USTsinghua University · CN

Funding

Computational and experimental modeling of RNA SplicingR01GM074688 · NIGMS · UNIVERSITY OF TEXAS DALLAS · PI ZHANG, MICHAEL Q · 2007 to 2012
$1.6M
NIGMS NIH HHS GM74688NIGMS NIH HHS R01 GM074688
6 · The paper itself

Abstract

motivationAlternative splicing (AS) is a pre-mRNA maturation process leading to the expression of multiple mRNA variants from the same primary transcript. More than 90% of human genes are expressed via AS. Therefore, quantifying the inclusion level of every exon is crucial for generating accurate transcriptomic maps and studying the regulation of AS.

resultsHere we introduce SpliceTrap, a method to quantify exon inclusion levels using paired-end RNA-seq data. Unlike other tools, which focus on full-length transcript isoforms, SpliceTrap approaches the expression-level estimation of each exon as an independent Bayesian inference problem. In addition, SpliceTrap can identify major classes of alternative splicing events under a single cellular condition, without requiring a background set of reads to estimate relative splicing changes. We tested SpliceTrap both by simulation and real data analysis, and compared it to state-of-the-art tools for transcript quantification. SpliceTrap demonstrated improved accuracy, robustness and reliability in quantifying exon-inclusion ratios.

conclusionsSpliceTrap is a useful tool to study alternative splicing regulation, especially for accurate quantification of local exon-inclusion ratios from RNA-seq data. AVAILABILITY AND IMPLEMENTATION: SpliceTrap can be implemented online through the CSH Galaxy server http://cancan.cshl.edu/splicetrap and is also available for download and installation at http://rulai.cshl.edu/splicetrap/. CONTACT: michael.zhang@utdallas.edu. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Indexed as

Alternative SplicingSequence Analysis, RNASoftwareBayes TheoremExonsHumans

Identifiers

PMID21896509
PMCPMC3198574
OpenAlexW2147087089

What OpenQuestion holds

Textmetadata
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.