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Diego Ortega-Del Vecchyo

dblp:190/9902 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2016
0000-0003-4054-3766ORCID · 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 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › population genetics › population parameter estimation
demographic inference		 0.212016
PReFerSim: fast simulation of demography and selection under the Poisson Random Field model · Bioinform. 2016
Bioinformatics and computational biology › population genetics › population genetics simulation
forward-time simulation		 0.212016
PReFerSim: fast simulation of demography and selection under the Poisson Random Field model · Bioinform. 2016
Bioinformatics and computational biology
population genetics		 0.212016
PReFerSim: fast simulation of demography and selection under the Poisson Random Field model · Bioinform. 2016

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

forward simulation · 0.2
YearPublicationVenuePosition
2016 PReFerSim: fast simulation of demography and selection under the Poisson Random Field model
abstract
The Poisson Random Field (PRF) model has become an important tool in population genetics to study weakly deleterious genetic variation under complicated demographic scenarios. Currently, there are no freely available software applications that allow simulation of genetic variation data under this model. Here we present PReFerSim, an ANSI C program that performs forward simulations under the PRF model. PReFerSim models changes in population size, arbitrary amounts of inbreeding, dominance and distributions of selective effects. Users can track summaries of genetic variation over time and output trajectories of selected alleles. AVAILABILITY AND IMPLEMENTATION: PReFerSim is freely available at: https://github.com/LohmuellerLab/PReFerSim CONTACT: [email protected] information: Supplementary data are available at Bioinformatics online.
Diego Ortega-Del Vecchyo, Clare D. Marsden, Kirk E. Lohmueller
 Bioinform.1