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Todd A. Castoe

dblp:54/7702 · DBLP profile ↗
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4ranked-venue papers
0as first author
1since 2021 · last 2021
0000-0002-5912-1574ORCID · corroborated

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

Applied, interdisciplinary, general and emerging computing · 4 · 1 since 2021

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
4 papers
Bioinformatics and computational biology · 100%

Topics — the 7 heaviest of 7, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology
phylogenetics
0.622021
PhyloWGA: chromosome-aware phylogenetic interrogation of whole genome alignments · Bioinform. 2021
Phylogenetics, likelihood, evolution and complexity · Bioinform. 2012
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 › sequence alignment › genome alignment
whole-genome alignment
0.512021
PhyloWGA: chromosome-aware phylogenetic interrogation of whole genome alignments · Bioinform. 2021
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
Bioinformatics and computational biology › phylogenetics › evolutionary history reconstruction
ancestral sequence reconstruction
0.112012
Phylogenetics, likelihood, evolution and complexity · Bioinform. 2012
Bioinformatics and computational biology › phylogenetics › phylogenetic inference
bayesian phylogenetic inference
0.112012
Phylogenetics, likelihood, evolution and complexity · Bioinform. 2012

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

coalescent model · 0.6phylogenetic inference · 0.5bayesian inference · 0.3posterior predictive simulation · 0.3dXY · 0.3FST · 0.3partial sampling of substitution histories · 0.1markov chain monte carlo · 0.1data augmentation · 0.1
YearPublicationVenuePosition
2021 PhyloWGA: chromosome-aware phylogenetic interrogation of whole genome alignments
abstract
SUMMARY: Here, we present PhyloWGA, an open source R package for conducting phylogenetic analysis and investigation of whole genome data. AVAILABILITYAND IMPLEMENTATION: Available at Github (https://github.com/radamsRHA/PhyloWGA). SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Richard H. Adams, Todd A. Castoe, Michael Degiorgio
Bioinform.2
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.5
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.5
2012 Phylogenetics, likelihood, evolution and complexity
abstract
SUMMARY: Phylogenetics, likelihood, evolution and complexity (PLEX) is a flexible and fast Bayesian Markov chain Monte Carlo software program for large-scale analysis of nucleotide and amino acid data using complex evolutionary models in a phylogenetic framework. The program gains large speed improvements over standard approaches by implementing 'partial sampling of substitution histories', a data augmentation approach that can reduce data analysis times from months to minutes on large comparative datasets. A variety of nucleotide and amino acid substitution models are currently implemented, including non-reversible and site-heterogeneous mixture models. Due to efficient algorithms that scale well with data size and model complexity, PLEX can be used to make inferences from hundreds to thousands of taxa in only minutes on a desktop computer. It also performs probabilistic ancestral sequence reconstruction. Future versions will support detection of co-evolutionary interactions between sites, probabilistic tests of convergent evolution and rigorous testing of evolutionary hypotheses in a Bayesian framework. AVAILABILITY AND IMPLEMENTATION: PLEX v1.0 is licensed under GPL. Source code and documentation will be available for download at www.evolutionarygenomics.com/ProgramsData/PLEX. PLEX is implemented in C++ and supported on Linux, Mac OS X and other platforms supporting standard C++ compilers. Example data, control files, documentation and accessory Perl scripts are available from the website. CONTACT: [email protected]. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
A. P. Jason de Koning, Wanjun Gu, Todd A. Castoe, David D. Pollock
Bioinform.3