Demo Data from EDBT 2026 / reviewers in the wild / expert
Louise H. Moncla
dblp:170/9459
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2015
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 1
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › population genetics
natural selection detection |
0.2 | 1 | 2015 | 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 |
0.2 | 1 | 2015 | SNPGenie: estimating evolutionary parameters to detect natural selection using pooled next-generation sequencing data · Bioinform. 2015 |
Bioinformatics and computational biology
population genetics |
0.2 | 1 | 2015 | 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 |
0.1 | 1 | 2015 | 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
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2015 | SNPGenie: estimating evolutionary parameters to detect natural selection using pooled next-generation sequencing dataabstractUNLABELLED: 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. | 2 |