Phylociraptor - A unified computational framework for reproducible phylogenomic inference

Resl, P.; Hahn, C.

doi:10.1101/2023.09.22.558970

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bioRxiv · 10.1101/2023.09.22.558970

Phylociraptor - A unified computational framework for reproducible phylogenomic inference

Resl, P.·Hahn, C.

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Abstract

Multi-stage phylogenomic analyses require complex computational environments. A unified framework for software- and parameter space exploration, data organisation and -deposition is currently lacking. We present phylociraptor (https://github.com/reslp/phylociraptor), a pipeline facilitating fast, reliable, portable (containerized), and reproducible phylogenomics. We demonstrate phylociraptors utility and uncover topological discrepancies associated with software and parameter choices in large-scale datasets (31-101 species, 241-2894 genes) addressing enigmatic questions in fungal and vertebrate evolution.

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Resl, P., Hahn, C.. 2023-09-23. Phylociraptor - A unified computational framework for reproducible phylogenomic inference. https://doi.org/10.1101/2023.09.22.558970

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