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Daren C. Card

dblp:199/3450 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2018
0000-0002-1629-5726ORCID · corroborated

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

Applied, interdisciplinary, general and emerging computing · 2

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
2 papers
Bioinformatics and computational biology · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › population genetics
population genomics		 0.622018
ThetaMater: Bayesian estimation of population size parameter θ from genomic data · Bioinform. 2018
GppFst: genomic posterior predictive simulations of FST and dXY for identifying outlier loci from population genomic data · Bioinform. 2017
Bioinformatics and computational biology › biostatistics › statistical bioinformatics
statistical genomics		 0.312018
ThetaMater: Bayesian estimation of population size parameter θ from genomic data · Bioinform. 2018
Bioinformatics and computational biology › population genetics
selection detection		 0.312017
GppFst: genomic posterior predictive simulations of FST and dXY for identifying outlier loci from population genomic data · Bioinform. 2017

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

coalescent model · 0.6bayesian inference · 0.3posterior predictive simulation · 0.3dXY · 0.3FST · 0.3
YearPublicationVenuePosition
2018 ThetaMater: Bayesian estimation of population size parameter θ from genomic data
abstract
Summary: We describe ThetaMater, an open source R package comprising a suite of functions for efficient and scalable Bayesian estimation of the population size parameter θ from genomic data. Availability and implementation: ThetaMater is available at GitHub (https://github.com/radamsRHA/ThetaMater). Contact: [email protected]. Supplementary information: Supplementary data are available at Bioinformatics online.
Richard H. Adams, Drew R. Schield, Daren C. Card, Andrew Corbin, Todd A. Castoe
 Bioinform.3
2017 GppFst: genomic posterior predictive simulations of FST and dXY for identifying outlier loci from population genomic data
abstract
Summary: We introduce GppFst, an open source R package that generates posterior predictive distributions of FST and dx under a neutral coalescent model to identify putative targets of selection from genomic data. Availability and Implementation: GppFst is available at ( https://github.com/radamsRHA/GppFst ). Contact: [email protected]. Supplementary information: Supplementary data are available at Bioinformatics online.
Richard H. Adams, Drew R. Schield, Daren C. Card, Heath Blackmon, Todd A. Castoe
 Bioinform.3