Evidence map›Paper›PMID 24225318›Full record

ArticleNucleic acids research2014

Selectome update: quality control and computational improvements to a database of positive selection.

Sébastien Moretti, Balazs Laurenczy, Walid H Gharib, Briséïs Castella, Arnold Kuzniar, Hannes Schabauer, Romain A Studer, Mario Valle, Nicolas Salamin, Heinz Stockinger and 1 more

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 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing 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

41 citing papers in PubMed.

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  20. Simultaneous Bayesian inference of phylogeny and molecular coevolution.Proceedings of the National Academy of Sciences of the United States of America · 2019
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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

11 authors.

Sébastien MorettiDepartment of Ecology and Evolution, Biophore, University of Lausanne, CH-1015 Lausanne, Switzerland, Evolutionary Bioinformatics group, SIB Swiss Institute of Bioinformatics, CH-1015 Lausanne, Switzerland, Vital-IT group, SIB Swiss Institute of Bioinformatics, CH-1015 Lausanne, Switzerland, Computational Phylogenetics group, SIB Swiss Institute of Bioinformatics, CH-1015 Lausanne, Switzerland, Division of Biosciences, Institute of Structural and Molecular Biology, University College London, Gower Street, London, WC1E 6BT, UK and Swiss National Supercomputing Centre (CSCS), CH-6900, Lugano, Switzerland.
Balazs Laurenczy
Walid H Gharib
Briséïs Castella
Arnold Kuzniar
Hannes Schabauer
Romain A Studer
Mario Valle
Nicolas Salamin
Heinz Stockinger
Marc Robinson-Rechavi

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Selectome (http://selectome.unil.ch/) is a database of positive selection, based on a branch-site likelihood test. This model estimates the number of nonsynonymous substitutions (dN) and synonymous substitutions (dS) to evaluate the variation in selective pressure (dN/dS ratio) over branches and over sites. Since the original release of Selectome, we have benchmarked and implemented a thorough quality control procedure on multiple sequence alignments, aiming to provide minimum false-positive results. We have also improved the computational efficiency of the branch-site test implementation, allowing larger data sets and more frequent updates. Release 6 of Selectome includes all gene trees from Ensembl for Primates and Glires, as well as a large set of vertebrate gene trees. A total of 6810 gene trees have some evidence of positive selection. Finally, the web interface has been improved to be more responsive and to facilitate searches and browsing.

Indexed as

Databases, Nucleic AcidSelection, GeneticGenetic VariationGenomicsHumansInternetQuality ControlSequence Alignment

Identifiers

PMID24225318
PMCPMC3964977

What OpenQuestion holds

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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.