Summary
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.
Competing Interest Statement
The authors have declared no competing interest.
Footnotes
After a first round of reviews the manuscript has been updated, using the suggestions provided. Changes have also been made to the code of the described workflows in order to make its modules more easily executable in different computer environments. Furthermore both the supplementary material and the online tutorial of the workflows have been updated with the goal of providing more details as well as alternative ways of installing and running the workflows.
https://github.com/johnpatramanis/Proteomic_Pipeline/blob/main/GitHub_Tutorial/Tutorial.md