Evidence map›Paper›PMID 23311589›Full record

ArticleMolecular ecology resources2013

Pool-hmm: a Python program for estimating the allele frequency spectrum and detecting selective sweeps from next generation sequencing of pooled samples.

Simon Boitard, Robert Kofler, Pierre Françoise, David Robelin, Christian Schlötterer, Andreas Futschik

Abstract read
In one paragraph

Article in Molecular ecology resources, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 citing papers in PubMed.

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  15. Genomic divergence and adaptive convergence inProceedings of the National Academy of Sciences of the United States of America · 2019
    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

6 authors.

Simon BoitardLaboratoire de Génétique Cellulaire, INRA, 24 Chemin de Borde Rouge, Auzeville CS 52627, Castanet Tolosan Cedex, 31326, France. simon.boitard@toulouse.inra.fr
Robert Kofler
Pierre Françoise
David Robelin
Christian Schlötterer
Andreas Futschik

Funding

Austrian Science Fund FWF P 19467
6 · The paper itself

Abstract

Due to its cost effectiveness, next generation sequencing of pools of individuals (Pool-Seq) is becoming a popular strategy for genome-wide estimation of allele frequencies in population samples. As the allele frequency spectrum provides information about past episodes of selection, Pool-seq is also a promising design for genomic scans for selection. However, no software tool has yet been developed for selection scans based on Pool-Seq data. We introduce Pool-hmm, a Python program for the estimation of allele frequencies and the detection of selective sweeps in a Pool-Seq sample. Pool-hmm includes several options that allow a flexible analysis of Pool-Seq data, and can be run in parallel on several processors. Source code and documentation for Pool-hmm is freely available at https://qgsp.jouy.inra.fr/.

Indexed as

Gene FrequencySoftwareAnimalsGenomicsHigh-Throughput Nucleotide SequencingInternetModels, GeneticPolymorphism, Single NucleotideQuailSequence Analysis, DNA

Identifiers

PMID23311589
PMCPMC3592992

What OpenQuestion holds

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LicenceCC BY
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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.