Evidence map›Paper›PMID 24574529›Full record

ArticleNucleic acids research2014

FineSplice, enhanced splice junction detection and quantification: a novel pipeline based on the assessment of diverse RNA-Seq alignment solutions.

Alberto Gatto, Carlos Torroja-Fungairiño, Francesco Mazzarotto, Stuart A Cook, Paul J R Barton, Fátima Sánchez-Cabo, Enrique Lara-Pezzi

Abstract read
In one paragraph

Article in Nucleic acids research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
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  5. Article
  6. Review
  7. Article
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  11. Review
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  13. RNA-Seq: Improving Our Understanding of Retinal Biology and Disease.Cold Spring Harbor perspectives in medicine · 2015
    Review
  14. Article
  15. Article
  16. Transcriptome complexity in cardiac development and diseases--an expanding universe between genome and phenome.Circulation journal : official journal of the Japanese Circulation Society · 2014
    Review
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

7 authors.

Alberto GattoCardiovascular Development and Repair Department, Centro Nacional de Investigaciones Cardiovasculares, Madrid, 28029, Spain, Bioinformatics Unit, Centro Nacional de Investigaciones Cardiovasculares, Madrid, 28029, Spain, National Heart and Lung Institute, Imperial College London, London SW7 2AZ, UK, Cardiovascular Biomedical Research Unit, NIHR Royal Brompton and Harefield NHS Foundation Trust, London SW3 6NP, UK, Department of Cardiology, National Heart Centre Singapore, Singapore 168752, Singapore and Cardiovascular and Metabolic Disorders Program, Duke-NUS Graduate Medical School, Singapore 169857, Singapore.
Carlos Torroja-Fungairiño
Francesco Mazzarotto
Stuart A Cook
Paul J R Barton
Fátima Sánchez-Cabo
Enrique Lara-Pezzi

Funding

British Heart Foundation SP/10/10/28431Medical Research Council MC_U120085815
6 · The paper itself

Abstract

Alternative splicing is the main mechanism governing protein diversity. The recent developments in RNA-Seq technology have enabled the study of the global impact and regulation of this biological process. However, the lack of standardized protocols constitutes a major bottleneck in the analysis of alternative splicing. This is particularly important for the identification of exon-exon junctions, which is a critical step in any analysis workflow. Here we performed a systematic benchmarking of alignment tools to dissect the impact of design and method on the mapping, detection and quantification of splice junctions from multi-exon reads. Accordingly, we devised a novel pipeline based on TopHat2 combined with a splice junction detection algorithm, which we have named FineSplice. FineSplice allows effective elimination of spurious junction hits arising from artefactual alignments, achieving up to 99% precision in both real and simulated data sets and yielding superior F1 scores under most tested conditions. The proposed strategy conjugates an efficient mapping solution with a semi-supervised anomaly detection scheme to filter out false positives and allows reliable estimation of expressed junctions from the alignment output. Ultimately this provides more accurate information to identify meaningful splicing patterns. FineSplice is freely available at https://sourceforge.net/p/finesplice/.

Indexed as

Alternative SplicingRNA Splice SitesAlgorithmsSequence AlignmentSequence Analysis, RNASoftwareRNA Splice Sites

Identifiers

PMID24574529
PMCPMC4005686

What OpenQuestion holds

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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.