Evidence map›Paper›PMID 26227143›Full record

ArticleBioinformatics (Oxford, England)2015

SNPGenie: estimating evolutionary parameters to detect natural selection using pooled next-generation sequencing data.

Chase W Nelson, Louise H Moncla, Austin L Hughes

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 118 papers.

0numbers the graph read from it
0cells of the map it votes in
118citing 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

118 citing papers in PubMed.

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58 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

3 authors.

Chase W NelsonDepartment of Biological Sciences, University of South Carolina, Columbia, SC 29208, USA and.
Louise H MonclaDepartment of Pathobiological Sciences, University of Wisconsin School of Veterinary Medicine, Madison, WI 53706, USA.
Austin L HughesDepartment of Biological Sciences, University of South Carolina, Columbia, SC 29208, USA and.

Funding

GRADUATE TRAINING IN MOLECULAR BIOSCIENCEST32GM007215 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI HULL, CHRISTINA M · 1985 to 2018
$22.5M
NIGMS NIH HHS T32GM07215PHS HHS AL077376PHS HHS AL084787PHS HHS AL096882
6 · The paper itself

Abstract

unlabelledNew applications of next-generation sequencing technologies use pools of DNA from multiple individuals to estimate population genetic parameters. However, no publicly available tools exist to analyse single-nucleotide polymorphism (SNP) calling results directly for evolutionary parameters important in detecting natural selection, including nucleotide diversity and gene diversity. We have developed SNPGenie to fill this gap. The user submits a FASTA reference sequence(s), a Gene Transfer Format (.GTF) file with CDS information and a SNP report(s) in an increasing selection of formats. The program estimates nucleotide diversity, distance from the reference and gene diversity. Sites are flagged for multiple overlapping reading frames, and are categorized by polymorphism type: nonsynonymous, synonymous, or ambiguous. The results allow single nucleotide, single codon, sliding window, whole gene and whole genome/population analyses that aid in the detection of positive and purifying natural selection in the source population. AVAILABILITY AND IMPLEMENTATION: SNPGenie version 1.2 is a Perl program with no additional dependencies. It is free, open-source, and available for download at https://github.com/hugheslab/snpgenie. CONTACT: nelsoncw@email.sc.edu or austin@biol.sc.edu SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Indexed as

Biological EvolutionSelection, GeneticSoftwareGenetics, PopulationHemagglutininsHigh-Throughput Nucleotide SequencingHumansInfluenza A Virus, H5N1 SubtypeNeuraminidasePolymorphism, Single NucleotideHemagglutininsNeuraminidase

Identifiers

PMID26227143
PMCPMC4757956

What OpenQuestion holds

Textmetadata
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.