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PaleoProPhyler: a reproducible pipeline for phylogenetic inference using ancient proteinsuse asterix (*) to get italics
Ioannis Patramanis, Jazmín Ramos-Madrigal, Enrico Cappellini, Fernando RacimoPlease use the format "First name initials family name" as in "Marie S. Curie, Niels H. D. Bohr, Albert Einstein, John R. R. Tolkien, Donna T. Strickland"
2023
<p>Ancient proteins from fossilized or semi-fossilized remains can yield phylogenetic information at broad temporal horizons, in some cases even millions of years into the past. In recent years, peptides extracted from archaic hominins and long-extinct mega-fauna have enabled unprecedented insights into their evolutionary history. In contrast to the field of ancient DNA - where several computational methods exist to process and analyze sequencing data - few tools exist for handling ancient protein sequence data. Instead, most studies rely on loosely combined custom scripts, which makes it difficult to reproduce results or share methodologies across research groups. Here, we present PaleoProPhyler: a new fully reproducible pipeline for aligning ancient peptide data and subsequently performing phylogenetic analyses. The pipeline can not only process various forms of proteomic data, but also easily harness genetic data in different formats (CRAM, BAM, VCF) and translate it, allowing the user to create reference panels for phyloproteomic analyses. We describe the various steps of the pipeline and its many functionalities, and provide some examples of how to use it. PaleoProPhyler allows researchers with little bioinformatics experience to efficiently analyze palaeoproteomic sequences, so as to derive insights from this valuable source of evolutionary data.</p>
https://doi.org/10.5281/zenodo.7728060You should fill this box only if you chose 'All or part of the results presented in this preprint are based on data'. URL must start with http:// or https://
https://github.com/johnpatramanis/Proteomic_PipelineYou should fill this box only if you chose 'Scripts were used to obtain or analyze the results'. URL must start with http:// or https://
https://github.com/johnpatramanis/Proteomic_PipelineYou should fill this box only if you chose 'Codes have been used in this study'. URL must start with http:// or https://
Pipeline, Workflow, Palaeoproteomics, Paleoproteomics, Phylogenetics, Phyloproteomics, Hominid evolution , Human evolution
NonePlease indicate the methods that may require specialised expertise during the peer review process (use a comma to separate various required expertises).
Evolutionary biology, Paleoanthropology, Paleogenetics & Ancient DNA, Phylogenetics
No need for them to be recommenders of PCIPaleo. Please do not suggest reviewers for whom there might be a conflict of interest. Reviewers are not allowed to review preprints written by close colleagues (with whom they have published in the last four years, with whom they have received joint funding in the last four years, or with whom they are currently writing a manuscript, or submitting a grant proposal), or by family members, friends, or anyone for whom bias might affect the nature of the review - see the code of conduct
e.g. John Doe [john@doe.com]
2023-02-24 13:40:12
Leslea Hlusko