grenedalf: population genetic statistics for the next generation of pool sequencing.
basic_science · Level V
Where this comes from
- Record sourced from PubMed, PMID 39185959.
- Also identified by DOI 10.1093/bioinformatics/btae508 and PMC identifier 11357794.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
Abstract
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. grenedalf is published under the GPL-3, and freely available at github.com/lczech/grenedalf.
Medical subject headings
- Software
- High-Throughput Nucleotide Sequencing
- Genetics, Population