Department of Biology, Penn State University, University Park, PA 16802, United States.
Institute for Computational and Data Sciences, Penn State University, University Park, PA 16802, United States.
Bioinformatics. 2024 Jan 2;40(1). doi: 10.1093/bioinformatics/btae006.
Several popular haplotype-based statistics for identifying recent or ongoing positive selection in genomes require knowledge of haplotype phase. Here, we provide an update to selscan which implements a re-definition of these statistics for use in unphased data.
Source code and binaries are freely available at https://github.com/szpiech/selscan, implemented in C/C++, and supported on Linux, Windows, and MacOS.
几种流行的基于单倍型的统计方法可用于识别基因组中的近期或持续正选择,但这些方法都需要单倍型相位的知识。本文对 selscan 进行了更新,重新定义了这些统计方法,以便在无相位数据中使用。
源代码和二进制文件可在 https://github.com/szpiech/selscan 上免费获取,该程序使用 C/C++编写,支持 Linux、Windows 和 MacOS 系统。