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Title: grenedalf: population genetic statistics for the next generation of pool sequencing
Abstract SummaryPool 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. Availability and implementationgrenedalf is published under the GPL-3, and freely available at github.com/lczech/grenedalf.  more » « less
Award ID(s):
2419923
PAR ID:
10600056
Author(s) / Creator(s):
; ;
Editor(s):
Schwartz, Russell
Publisher / Repository:
The journal Bioinformatics is published by Oxford University Press
Date Published:
Journal Name:
Bioinformatics
Volume:
40
Issue:
8
ISSN:
1367-4811
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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