Demo Data from EDBT 2026 / reviewers in the wild / expert
Richard H. Adams
dblp:199/3496
· DBLP profile ↗
3ranked-venue papers
3as first author
1since 2021 · last 2021
0009-0005-0054-8134ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 3 · 3 first-author · 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
3 papers |
Bioinformatics and computational biology · 100% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › population genetics
population genomics |
0.6 | 2 | 2018 | 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
phylogenetics |
0.5 | 1 | 2021 | PhyloWGA: chromosome-aware phylogenetic interrogation of whole genome alignments · Bioinform. 2021 |
Bioinformatics and computational biology › sequence alignment › genome alignment
whole-genome alignment |
0.5 | 1 | 2021 | PhyloWGA: chromosome-aware phylogenetic interrogation of whole genome alignments · Bioinform. 2021 |
Bioinformatics and computational biology › biostatistics › statistical bioinformatics
statistical genomics |
0.3 | 1 | 2018 | ThetaMater: Bayesian estimation of population size parameter θ from genomic data · Bioinform. 2018 |
Bioinformatics and computational biology › population genetics
selection detection |
0.3 | 1 | 2017 | 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 · 0.6phylogenetic inference · 0.5bayesian inference · 0.3posterior predictive simulation · 0.3dXY · 0.3FST · 0.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2021 | PhyloWGA: chromosome-aware phylogenetic interrogation of whole genome alignmentsabstractSUMMARY: 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. | 1 |
| 2018 | ThetaMater: Bayesian estimation of population size parameter θ from genomic dataabstractSummary: 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. | 1 |
| 2017 | GppFst: genomic posterior predictive simulations of FST and dXY for identifying outlier loci from population genomic dataabstractSummary: 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. | 1 |