Evidence map›Paper›PMID 28334822›Full record

ArticleNucleic acids research2017

PosiGene: automated and easy-to-use pipeline for genome-wide detection of positively selected genes.

Arne Sahm, Martin Bens, Matthias Platzer, Karol Szafranski

Abstract read
In one paragraph

Article in Nucleic acids research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing 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

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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

37 citing papers in PubMed.

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  12. Long-read genome assemblies reveal aZoological research · 2023
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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

4 authors.

Arne SahmLeibniz Institute on Aging, Fritz Lipmann Institute, 07745 Jena, Germany.
Martin BensLeibniz Institute on Aging, Fritz Lipmann Institute, 07745 Jena, Germany.
Matthias PlatzerLeibniz Institute on Aging, Fritz Lipmann Institute, 07745 Jena, Germany.
Karol SzafranskiLeibniz Institute on Aging, Fritz Lipmann Institute, 07745 Jena, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many comparative genomics studies aim to find the genetic basis of species-specific phenotypic traits. A prevailing strategy is to search genome-wide for genes that evolved under positive selection based on the non-synonymous to synonymous substitution ratio. However, incongruent results largely due to high false positive rates indicate the need for standardization of quality criteria and software tools. Main challenges are the ortholog and isoform assignment, the high sensitivity of the statistical models to alignment errors and the imperative to parallelize large parts of the software. We developed the software tool PosiGene that (i) detects positively selected genes (PSGs) on genome-scale, (ii) allows analysis of specific evolutionary branches, (iii) can be used in arbitrary species contexts and (iv) offers visualization of the results for further manual validation and biological interpretation. We exemplify PosiGene's performance using simulated and real data. In the simulated data approach, we determined a false positive rate <1%. With real data, we found that 68.4% of the PSGs detected by PosiGene, were shared by at least one previous study that used the same set of species. PosiGene is a user-friendly, reliable tool for reproducible genome-wide identification of PSGs and freely available at https://github.com/gengit/PosiGene.

Indexed as

Selection, GeneticSequence Analysis, DNASoftwareAmino Acid SequenceAnimalsBase SequenceConserved SequenceEvolution, MolecularGenomeHumansPhylogeny

Identifiers

PMID28334822
PMCPMC5499814

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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.