ArticleBMC bioinformatics2020
ADMIXPIPE: population analyses in ADMIXTURE for non-model organisms.
Article in BMC bioinformatics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
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29 citing papers in PubMed, 47 citations in OpenAlex.
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- Novel candidate genes and genetic basis analysis of kernel starch content in tropical maize.BMC plant biology · 2025Article
- Chromosome-scale assemblies of three Ormosia species: repetitive sequences distribution and structural rearrangement.GigaScience · 2025Article
- Genome-wide association studies and genomic selection for leaf-related traits in maize.Frontiers in plant science · 2025Article
- Discovery of candidate genes enhancing kernel protein content in tropical maize introgression lines.BMC plant biology · 2024Article
- Study of the Genetic Mechanisms of Siberian Stone Pine (International journal of molecular sciences · 2024Article
- Utilizing Two Populations Derived from Tropical Maize for Genome-Wide Association Analysis of Banded Leaf and Sheath Blight Resistance.Plants (Basel, Switzerland) · 2024Article
- Genomic insights into Plasmodium vivax population structure and diversity in central Africa.Malaria journal · 2024Article
- Genetic diversity, population structure, and phylogeny of insular Spanish pepper landraces (Frontiers in plant science · 2024Article
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundResearch on the molecular ecology of non-model organisms, while previously constrained, has now been greatly facilitated by the advent of reduced-representation sequencing protocols. However, tools that allow these large datasets to be efficiently parsed are often lacking, or if indeed available, then limited by the necessity of a comparable reference genome as an adjunct. This, of course, can be difficult when working with non-model organisms. Fortunately, pipelines are currently available that avoid this prerequisite, thus allowing data to be a priori parsed. An oft-used molecular ecology program (i.e., STRUCTURE), for example, is facilitated by such pipelines, yet they are surprisingly absent for a second program that is similarly popular and computationally more efficient (i.e., ADMIXTURE). The two programs differ in that ADMIXTURE employs a maximum-likelihood framework whereas STRUCTURE uses a Bayesian approach, yet both produce similar results. Given these issues, there is an overriding (and recognized) need among researchers in molecular ecology for bioinformatic software that will not only condense output from replicated ADMIXTURE runs, but also infer from these data the optimal number of population clusters (K).
resultsHere we provide such a program (i.e., ADMIXPIPE) that (a) filters SNPs to allow the delineation of population structure in ADMIXTURE, then (b) parses the output for summarization and graphical representation via CLUMPAK. Our benchmarks effectively demonstrate how efficient the pipeline is for processing large, non-model datasets generated via double digest restriction-site associated DNA sequencing (ddRAD). Outputs not only parallel those from STRUCTURE, but also visualize the variation among individual ADMIXTURE runs, so as to facilitate selection of the most appropriate K-value.
conclusionsADMIXPIPE successfully integrates ADMIXTURE analysis with popular variant call format (VCF) filtering software to yield file types readily analyzed by CLUMPAK. Large population genomic datasets derived from non-model organisms are efficiently analyzed via the parallel-processing capabilities of ADMIXTURE. ADMIXPIPE is distributed under the GNU Public License and freely available for Mac OSX and Linux platforms at: https://github.com/stevemussmann/admixturePipeline .
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