Evidence map›Paper›PMID 26787666›Full record

ArticleBioinformatics (Oxford, England)2016

GeneValidator: identify problems with protein-coding gene predictions.

Monica-Andreea Drăgan, Ismail Moghul, Anurag Priyam, Claudio Bustos, Yannick Wurm

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

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  8. A standard workflow for community-driven manual curation ofPhilosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
    Article
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  12. GALBA: Genome Annotation with Miniprot and AUGUSTUS.bioRxiv : the preprint server for biology · 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.

Monica-Andreea DrăganDepartment of Computer Science, ETH Zürich, Zürich, Switzerland.
Ismail MoghulSchool of Biological and Chemical Sciences, Queen Mary University of London, London, UK and.
Anurag PriyamSchool of Biological and Chemical Sciences, Queen Mary University of London, London, UK and.
Claudio BustosDepartamento de Psiquiatría y Salud Mental, University of Concepción, Concepción, Chile.
Yannick WurmSchool of Biological and Chemical Sciences, Queen Mary University of London, London, UK and.

Funding

Biotechnology and Biological Sciences Research Council
6 · The paper itself

Abstract

unlabelled: Genomes of emerging model organisms are now being sequenced at very low cost. However, obtaining accurate gene predictions remains challenging: even the best gene prediction algorithms make substantial errors and can jeopardize subsequent analyses. Therefore, many predicted genes must be time-consumingly visually inspected and manually curated. We developed GeneValidator (GV) to automatically identify problematic gene predictions and to aid manual curation. For each gene, GV performs multiple analyses based on comparisons to gene sequences from large databases. The resulting report identifies problematic gene predictions and includes extensive statistics and graphs for each prediction to guide manual curation efforts. GV thus accelerates and enhances the work of biocurators and researchers who need accurate gene predictions from newly sequenced genomes. AVAILABILITY AND IMPLEMENTATION: GV can be used through a web interface or in the command-line. GV is open-source (AGPL), available at https://wurmlab.github.io/tools/genevalidator CONTACT: : y.wurm@qmul.ac.uk SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Indexed as

Databases, GeneticSoftwareGenesPredictive Value of TestsProteinsProteins

Identifiers

PMID26787666
PMCPMC4866521

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.