grenedalf: population genetic statistics for the next generation of pool sequencing
Published in arXiv, 2023
Recommended citation: grenedalf: population genetic statistics for the next generation of pool sequencing Lucas Czech, Jeffrey P. Spence, Moisés Expósito-Alonso. arXiv (2023) arXiv:2306.11622 https://arxiv.org/abs/2306.11622
Pool sequencing is an efficient method for capturing genome-wide allele frequencies from multiple individuals, with broad applications such as studying adaptation in Evolve-and-Resequence experiments, monitoring of genetic diversity in wild populations, and genotype-to-phenotype mapping. Here, we present grenedalf, a command line tool written in C++ that implements common population genetic statistics such as θ, Tajima’s D, and FST for Pool sequencing. It is orders of magnitude faster than current tools, and is focused on providing usability and scalability, while also offering a plethora of input file formats and convenience options.
Recommended citation: grenepipe: grenedalf: population genetic statistics for the next generation of pool sequencing Lucas Czech, Jeffrey P. Spence, Moisés Expósito-Alonso. arXiv (2023) arXiv:2306.11622