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格伦代尔:下一代池测序的群体遗传统计。

grenedalf: population genetic statistics for the next generation of pool sequencing.

机构信息

Department of Plant Biology, Carnegie Institution for Science, Stanford, CA 94305, United States.

Section for GeoGenetics, Globe Institute, University of Copenhagen, 1350 København, Denmark.

出版信息

Bioinformatics. 2024 Aug 2;40(8). doi: 10.1093/bioinformatics/btae508.

Abstract

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.

摘要

摘要

池测序是一种从多个个体中捕获全基因组等位基因频率的有效方法,具有广泛的应用,如在进化和重测序实验中研究适应性、监测野生种群的遗传多样性以及基因型到表型的映射。本文介绍了 grenadelf,这是一个用 C++编写的命令行工具,用于实现池测序的常见群体遗传统计,如θ、 Tajima 的 D 和 FST。它比当前的工具快几个数量级,专注于提供可用性和可扩展性,同时还提供了大量的输入文件格式和方便的选项。

可用性和实现

grenadalf 根据 GPL-3 发布,并可在 github.com/lczech/grenedalf 上免费获得。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d318/11357794/04a2ae053dea/btae508f1.jpg

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