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Updated: Jun 16, 2026

Targeted Next-generation Sequencing and Bioinformatics Pipeline to Evaluate Genetic Determinants of Constitutional Disease
Published on: April 4, 2018
grenedalf: population genetic statistics for the next generation of pool sequencing
Lucas Czech1,2, Jeffrey P Spence3, Moisés Expósito-Alonso1,4,5,6,7
1Department of Plant Biology, Carnegie Institution for Science, Stanford, CA 94305, United States.
Summary:
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.
Availability And Implementation:
grenedalf is published under the GPL-3, and freely available at github.com/lczech/grenedalf.
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