Evidence map›Paper›PMID 19339519›Full record

ArticleNucleic acids research2009

Human Splicing Finder: an online bioinformatics tool to predict splicing signals.

François-Olivier Desmet, Dalil Hamroun, Marine Lalande, Gwenaëlle Collod-Béroud, Mireille Claustres, Christophe Béroud

Open access · goldAbstract readEvaluation Study
In one paragraph

Article in Nucleic acids research, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1,393 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1,393citing papers in PubMed, 1 pooled it
34.2field-weighted citation impact, top 1% 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

1,393 citing papers in PubMed, 1 synthesis or guideline pooled it, 2,513 citations in OpenAlex.

  1. Pooled it
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  9. Association Study BetweenInternational journal of molecular sciences · 2026
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  18. Improving splice site usage prediction with SPLAIRE.bioRxiv : the preprint server for biology · 2026
    Article
  19. Family-Based Study RevealsInternational journal of molecular sciences · 2026
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  20. Article

1,333 more citing papers are in PubMed but not listed here.

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 1 institution in 1 country.

François-Olivier DesmetINSERM, U827, Montpellier, France.
Dalil Hamroun
Marine Lalande
Gwenaëlle Collod-Béroud
Mireille Claustres
Christophe Béroud
Inserm · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Thousands of mutations are identified yearly. Although many directly affect protein expression, an increasing proportion of mutations is now believed to influence mRNA splicing. They mostly affect existing splice sites, but synonymous, non-synonymous or nonsense mutations can also create or disrupt splice sites or auxiliary cis-splicing sequences. To facilitate the analysis of the different mutations, we designed Human Splicing Finder (HSF), a tool to predict the effects of mutations on splicing signals or to identify splicing motifs in any human sequence. It contains all available matrices for auxiliary sequence prediction as well as new ones for binding sites of the 9G8 and Tra2-beta Serine-Arginine proteins and the hnRNP A1 ribonucleoprotein. We also developed new Position Weight Matrices to assess the strength of 5' and 3' splice sites and branch points. We evaluated HSF efficiency using a set of 83 intronic and 35 exonic mutations known to result in splicing defects. We showed that the mutation effect was correctly predicted in almost all cases. HSF could thus represent a valuable resource for research, diagnostic and therapeutic (e.g. therapeutic exon skipping) purposes as well as for global studies, such as the GEN2PHEN European Project or the Human Variome Project.

Indexed as

MutationRNA Splice SitesSoftwareComputational BiologyDatabases, Nucleic AcidEnhancer Elements, GeneticHumansInternetSequence Analysis, RNASilencer Elements, TranscriptionalUser-Computer InterfaceRNA Splice Sites

Identifiers

PMID19339519
PMCPMC2685110
OpenAlexW2132123037

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.