ArticlePloS one2020
EasyParallel: A GUI platform for parallelization of STRUCTURE and NEWHYBRIDS analyses.
Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Article
- Consequences of domestication in eastern oyster: Insights from whole genomic analyses.Evolutionary applications · 2024Article
- Are rabid raccoons (Evolutionary applications · 2023Article
- Genetic Diversity and Population Structure of Bulgarian Autochthonous Sheep Breeds Revealed by Microsatellite Analysis.Animals : an open access journal from MDPI · 2023Article
- A Set of Highly Polymorphic Microsatellite Markers for Genetic Diversity Studies in the GenusPlants (Basel, Switzerland) · 2023Article
- Population genetic structure and hybrid zone analyses for species delimitation in the Japanese toad (PeerJ · 2023Article
- Dead-End Hybridization in Walnut Trees Revealed by Large-Scale Genomic Sequence Data.Molecular biology and evolution · 2022Article
- Article
- A new species of lotic breeding salamander (Amphibia, Caudata, Hynobiidae) from Shikoku, Japan.PeerJ · 2022Article
- Moths passing in the night: Phenological and genomic divergences within a forest pest complex.Evolutionary applications · 2022Article
- Genetic and Flower Volatile Diversity in Natural Populations ofFrontiers in plant science · 2021Article
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Authors and funding
4 authors.
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Abstract
The software programs STRUCTURE and NEWHYBRIDS are widely used population genetic programs useful in addressing questions related to genetic structure, admixture, and hybridization. These programs usually require a large number of independent runs with many iterations to provide robust data for downstream analyses, thus significantly increasing computation time. Programs such as Structure_threader and parallelnewhybrid were previously developed to address this problem by processing tasks in parallel on a multi-threaded processor; however some programming knowledge (e.g., R, Bash) is required to run these programs. We developed EasyParallel as a community resource to facilitate practical and routine population structure and hybridization analyses. The multi-threaded parallelization of EasyParallel allows processing of large genetic datasets in a very efficient way, with its point-and-click GUI providing ready access to users who have little experience in script programming. Performance evaluation of EasyParallel using simulated datasets showed similar speed-up and parallel execution time when compared to Structure_threader and Parallelnewhybrid. EasyParallel is written in Python 3 and freely available on the GitHub site https://github.com/hzz0024/EasyParallel.
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