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Mapache: a flexible pipeline to map ancient DNA

Authors :
Neuenschwander, Samuel
Dávalos, Diana I. Cruz
Anchieri, Lucas
da Mota, Bárbara Sousa
Bozzi, Davide
Rubinacci, Simone
Delaneau, Olivier
Rasmussen, Simon
Malaspinas, Anna-Sapfo
Publication Year :
2022

Abstract

Summary: Mapping ancient DNA to a reference genome is challenging as it involves numerous steps, is time-consuming and has to be repeated within a study to assess the quality of extracts and libraries; as a result, the mapping needs to be automatized to handle large amounts of data in a reproducible way. We present mapache, a flexible, robust, and scalable pipeline to map, quantify and impute ancient and present-day DNA in a reproducible way. Mapache is implemented in the workflow manager Snakemake and is optimized for low-space consumption, allowing to efficiently (re)map large data sets such as reference panels and multiple extracts and libraries.<br />Comment: Availability: Mapache is freely available on GitHub (https://github.com/sneuensc/mapache). Supplementary information: An extensive manual is provided at https://github.com/sneuensc/mapache/wiki

Subjects

Subjects :
Quantitative Biology - Genomics

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2208.13283
Document Type :
Working Paper
Full Text :
https://doi.org/10.1093/bioinformatics/btad028