# 使用 Homebrew 安装 chopper

查看 chopper 的安装路径、可执行文件、元数据以及面向 AI 代理工作流的安全说明。

## 安装

```sh
sudo av install brew:chopper
```

其他安装命令:

### macOS

- Homebrew (100%):

```sh
brew install chopper
```

  证据: local Homebrew formula metadata

## 软件包事实

- **软件包键:** brew:chopper
- **软件包管理器:** Homebrew
- **版本:** 0.13.0
- **来源摘要:** Filter and trim long-read sequencing data by quality and length
- **主页:** <https://github.com/wdecoster/chopper>
- **仓库:** <https://github.com/wdecoster/chopper>
- **最后更新:** 2026-07-15T10:09:42Z
- **已生成:** 2026-08-03T19:37:03+00:00

## 可执行文件

- chopper (别名)

## 安装行为

- Bottle: 不可用

## 版本和新鲜度

- 页面生成时间: 2026-08-03
- 管理器版本: 0.13.0
## 项目历史与用法

chopper is a Rust command-line program for filtering and trimming FASTQ reads from long-read sequencing platforms such as Oxford Nanopore and PacBio. It is designed as a faster reimplementation of functionality associated with the Python tools NanoFilt and NanoLyse.

### 项目历史

The project's GitHub repository was created in August 2020. Its first published GitHub release was v0.1.0 in November 2022, and development has continued through later releases that expanded its filtering and trimming strategies.

### 采用历史

The project distributes ready-to-use binaries from GitHub Releases and documents installation through Bioconda. The supplied package metadata also records a Homebrew formula, making it available in both bioinformatics-focused and general-purpose package-manager workflows.

### 使用方式

chopper fits Unix sequencing pipelines by reading FASTQ from standard input and writing accepted reads to standard output. Common invocations set minimum quality and length thresholds, optionally crop or quality-trim reads, and pipe compressed data through gzip or pigz.

### 为什么软件包爱好者会关心

For package-oriented users, chopper is notable as a small Rust replacement for older Python tooling that preserves stream-based composition while offering standalone release binaries and Bioconda and Homebrew distribution. Its stdin/stdout interface makes it easy to slot into reproducible shell pipelines without project-specific configuration.

### 时间线

- 2020: GitHub repository created.
- 2022: First GitHub release, v0.1.0.
- 2026: v0.13.0 released with split-window support for low-quality splitting.

### Related projects

- NanoFilt and NanoLyse are the Python tools whose functionality motivated chopper's Rust implementation.
- pigz is recommended in the official README for overlapping FASTQ compression or decompression with chopper's processing.

### 来源

- <https://api.github.com/repos/wdecoster/chopper>
- <https://api.github.com/repos/wdecoster/chopper/releases?per_page=100>
- <https://github.com/wdecoster/chopper#readme>
- source_facts.package-manager


## 安全说明

没有找到 chopper 的匹配本地密钥处理 manifest。Nucleus 软件包元数据仍在此发布，以便未来覆盖拥有稳定的软件包 URL。



## Combined YAML source

View the package source record on GitHub. [combined/chopper.yml](https://github.com/mxcl/pkgdb/blob/main/combined/chopper.yml)


## 来源

- pkg.so package database
- curated package history
- pkgdb category and tag curation
- cross-ecosystem install command graph