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• W3212843169 abstract "ABSTRACT PREMISE The HybPiper pipeline has become one of the most widely used tools for the assembly of target enrichment (sequence capture) data for phylogenomic analysis. Between the production of locus sequences and phylogenetic analysis, the identification of paralogs is a critical step ensuring accurate inference of evolutionary relationships. Algorithmic approaches using gene tree topologies for the inference of ortholog groups are computationally efficient and broadly applicable to non-model organisms, especially in the absence of a known species tree. Unfortunately, software compatibility issues, unfamiliarity with relevant programming languages, and the complexity involved in running numerous subsequent analysis steps continue to limit the broad uptake of these approaches and constrain their application in practice. METHODS AND RESULTS We updated the scripts constituting HybPiper and a pipeline for the inference of ortholog groups (“Yang and Smith”) to provide novel options for the treatment of supercontigs, remove bugs, and seamlessly use the outputs of the former as inputs for the latter. The pipelines were containerised using Singularity and implemented via two Nextflow pipelines for easier deployment and to vastly reduce the number of commands required for their use. We tested the pipelines with several datasets, one of which is presented for demonstration. CONCLUSIONS hybpiper-rbgv and yang-and-smith-rbgv provide easy installation, user-friendly experience, and robust results to the phylogenetic community. They are presently used as the analysis pipeline of the Australian Angiosperm Tree of Life project. The pipelines are available at https://github.com/chrisjackson-pellicle ." @default.
• W3212843169 created "2021-11-22" @default.
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• W3212843169 date "2021-11-10" @default.
• W3212843169 modified "2023-10-17" @default.
• W3212843169 title "hybpiper-rbgv and yang-and-smith-rbgv: Containerization and additional options for assembly and paralog detection in target enrichment data" @default.
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• W3212843169 doi "https://doi.org/10.1101/2021.11.08.467817" @default.
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