# oarfish を Homebrew でインストール

oarfish のインストール経路、実行ファイル、メタデータ、AI エージェント向けセキュリティノートを確認します。

## インストール

```sh
sudo av install brew:oarfish
```

追加のインストールコマンド:

### macOS

- Homebrew (100%):

```sh
brew install oarfish
```

  証拠: local Homebrew formula metadata

## パッケージ情報

- **パッケージキー:** brew:oarfish
- **パッケージマネージャ:** Homebrew
- **バージョン:** 0.10.3
- **ソース概要:** Long read RNA-seq quantification
- **ホームページ:** <https://github.com/COMBINE-lab/oarfish>
- **リポジトリ:** <https://github.com/COMBINE-lab/oarfish>
- **最終更新:** 2026-07-27T05:36:42Z
- **生成日時:** 2026-08-03T19:37:03+00:00

## 実行可能ファイル

- oarfish (エイリアス)

## インストール挙動

- Bottle: 利用不可

## バージョンと鮮度

- ページ生成日: 2026-08-03
- マネージャ版: 0.10.3
## プロジェクトの歴史と使われ方

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.

### プロジェクトの歴史

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.

### 採用の歴史

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.

### 使われ方

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.

### パッケージ好きにとっての重要性

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.

### タイムライン

- 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.

### ソース

- <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>


## セキュリティノート

narrow executable package without higher-risk signals.

- **Geiger リスク:** グリーン / 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)


## ソース

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