使用 Homebrew 安装 rasusa

项目链接

• 主页
• 仓库
• 软件包管理器页面

命令和别名

• rasusa

项目历史

Rasusa was created to randomly subsample sequencing reads to a requested coverage. Its methods and purpose were documented in a 2022 Journal of Open Source Software paper. The project subsequently expanded beyond FASTQ reads to support unaligned and aligned SAM, BAM, and CRAM workflows, with alignment downsampling documented in a 2026 Gigabyte paper.

采用历史

Rasusa is available through precompiled release binaries, Cargo and cargo-binstall, Bioconda, containers, and Homebrew. The official README documents the shift of container distribution from Docker Hub to Quay.io and later to GitHub Container Registry.

使用方式

For reads, users supply FASTQ or unaligned SAM/BAM/CRAM input and request a coverage or other sampling target; results are written to standard output unless otherwise directed. Current releases also provide alignment-oriented downsampling. The CLI supports paired sequencing data and integrates readily into shell and bioinformatics pipelines.

为什么软件包爱好者会关心

Rasusa packages a common bioinformatics preprocessing task into a fast, reproducible Rust executable with few operational complications. Its presence across Cargo, Bioconda, containers, and Homebrew illustrates how research software can bridge language-native, scientific-workflow, and general-purpose package ecosystems.

时间线

• 2022: Rasusa was described in the Journal of Open Source Software.
• Before 0.4.0: Official containers were hosted on Docker Hub.
• 0.4.0–2.2.0: Official containers were hosted on Quay.io.
• 2026: Efficient genome-alignment downsampling with Rasusa was described in Gigabyte.

Related projects

• Cargo and cargo-binstall distribute the Rust executable.
• Bioconda integrates Rasusa into bioinformatics package and workflow environments.
• SAM, BAM, CRAM, and FASTQ are the principal sequencing formats handled by the tool.

来源

• https://doi.org/10.21105/joss.03941
• https://doi.org/10.46471/gigabyte.180
• https://github.com/mbhall88/rasusa#readme