grenedalf

grenedalf implements common population genetic statistics such as theta, Tajima's D, and FST for pool sequencing data.

Key Features:

• Performance: The tool achieves orders of magnitude faster computation than current tools for pool sequencing analysis.
• Input format flexibility: The tool supports a plethora of input file formats and convenience options for data import.
• Scalability: The tool is focused on providing scalability for large-scale population genetic analyses.

Scientific Applications:

• Evolve-and-Resequence experiments: The tool enables studying adaptation through genome-wide allele frequency analysis in experimental evolution.
• Genetic diversity monitoring: The tool supports monitoring of genetic diversity in wild populations via pool sequencing.
• Genotype-to-phenotype mapping: The tool facilitates genotype-to-phenotype mapping using population-level allele frequency data.

Methodology:

grenedalf is written in C++ and operates as a command-line tool.