# 使用 Homebrew 安装 oarfish

查看 oarfish 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:oarfish
```

其他安装命令:

### macOS

- Homebrew (100%):

```sh
brew install oarfish
```

  证据: local Homebrew formula metadata

## 软件包事实

- **软件包键:** brew:oarfish
- **软件包管理器:** Homebrew
- **版本:** 0.10.3
- **来源摘要:** Long read RNA-seq quantification
- **主页:** <https://github.com/COMBINE-lab/oarfish>
- **仓库:** <https://github.com/COMBINE-lab/oarfish>
- **最后更新:** 2026-07-27T05:36:42Z
- **已生成:** 2026-08-03T19:37:03+00:00

## 可执行文件

- oarfish (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: 0.10.3
## 项目历史与用法

oarfish is a Rust tool from COMBINE-lab for transcript-level quantification from long-read RNA-seq data, including Oxford Nanopore cDNA/direct RNA and PacBio reads. It allocates multi-mapping reads probabilistically with an expectation-maximization model and adds coverage information to improve isoform-level estimates.

### 项目历史

The GitHub repository was created on June 27, 2022. The project emerged from the COMBINE-lab lineage of RNA-seq quantification tools, applying probabilistic transcript-assignment ideas to long-read sequencing rather than short-read workflows.

### 采用历史

The method was described in the 2024 preprint and later Bioinformatics paper "Enhanced probabilistic modeling leads to improved accuracy in long-read transcriptome quantification." Distribution through GitHub releases, Cargo, Bioconda, and Homebrew made it available to both Rust users and bioinformatics workflow environments.

### 使用方式

oarfish accepts transcriptome BAM alignments, raw reads that it maps internally, genome reads that are spliced-aligned and projected to transcripts, or existing genome BAMs projected against a transcript annotation. The common workflow is to supply long-read RNA-seq data plus transcript sequences or annotation, then produce transcript abundance estimates with optional bootstrap uncertainty and coverage modeling.

### 为什么软件包爱好者会关心

For package watchers, oarfish is a good example of scientific software moving through several distribution channels at once: a Rust codebase and Cargo package, prebuilt GitHub release binaries, Bioconda recipes for workflow managers, and a Homebrew formula for local command-line installs.

### 时间线

- 2022-06-27: COMBINE-lab/oarfish repository was created.
- 2024-02-28: The oarfish preprint was posted to bioRxiv.
- 2026-06-07: GitHub release v0.10.0 was published.

### Related projects

- The documentation compares or connects oarfish with NanoCount-style filters, minimap2 and other aligners for BAM input, rammap for in-process long-read mapping, and bramble for genome-to-transcript projection.

### 来源

- <https://academic.oup.com/bioinformatics/article/41/Supplement_1/i304/8199410>
- <https://api.github.com/repos/COMBINE-lab/oarfish>
- <https://bioconda.github.io/recipes/oarfish/README.html>
- <https://formulae.brew.sh/formula/oarfish>
- <https://github.com/COMBINE-lab/oarfish>
- <https://github.com/COMBINE-lab/oarfish/releases>
- <https://pubmed.ncbi.nlm.nih.gov/38464200/>
- <https://www.biorxiv.org/content/10.1101/2024.02.28.582591v1>


## 安全说明

narrow executable package without higher-risk signals.

- **Geiger 风险:** 绿色 / 低
- narrow executable package without higher-risk signals


## Combined YAML source

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


## 来源

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