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Chase W. Nelson

dblp:125/0147 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2015
0000-0001-6287-1598ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › population genetics
natural selection detection
0.212015
SNPGenie: estimating evolutionary parameters to detect natural selection using pooled next-generation sequencing data · Bioinform. 2015
Bioinformatics and computational biology › genomics › high-throughput sequencing
pooled sequencing
0.212015
SNPGenie: estimating evolutionary parameters to detect natural selection using pooled next-generation sequencing data · Bioinform. 2015
Bioinformatics and computational biology
population genetics
0.212015
SNPGenie: estimating evolutionary parameters to detect natural selection using pooled next-generation sequencing data · Bioinform. 2015
Bioinformatics and computational biology › genomics
next-generation sequencing data analysis
0.112015
SNPGenie: estimating evolutionary parameters to detect natural selection using pooled next-generation sequencing data · Bioinform. 2015

Methods — techniques the papers use, named apart from their topics

nucleotide diversity estimation · 0.2gene diversity estimation · 0.2
YearPublicationVenuePosition
2015 SNPGenie: estimating evolutionary parameters to detect natural selection using pooled next-generation sequencing data
abstract
UNLABELLED: New 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: [email protected] or [email protected] SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Chase W. Nelson, Louise H. Moncla, Austin L. Hughes
Bioinform.1