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使用 Homebrew 安装 fgbio

查看 fgbio 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

其他安装命令

macOS

Homebrew已验证 · 100%
brew install fgbio

local Homebrew formula metadata

概览

软件包摘要

Tools for working with genomic and high throughput sequencing data

命令和别名

  • fgbio

历史

项目历史与用法

fgbio is a Fulcrum Genomics toolkit for analyzing genomic and high-throughput sequencing data. It is a command-line collection aimed at read-level and variant-level workflows, with a particular emphasis on robust NGS processing, molecular indexes, and consensus-read generation.

项目历史

The GitHub repository was created in March 2016, and the first release listed by the GitHub API is 0.1.0 later that month. The README describes fgbio as a set of tools for genomic data analysis with a focus on next-generation sequencing.

The project is written in Scala, built with sbt, and distributed as an executable jar or through package managers. Its README says the repository README is mostly for developers and builders, while the project website carries detailed user documentation, per-tool usage pages, and metrics documentation.

The toolkit's stated goals are robust, well-tested tools, an easy command line, clear documentation, and open-source development for the community and Fulcrum Genomics clients. The tool list shows the project expanding into UMI handling, consensus reads, FASTQ/BAM manipulation, QC metrics, contig-name rewriting, and synthetic mixture VCF creation.

采用历史

fgbio has a narrower package footprint than general-purpose CLIs, but it is visible in bioinformatics distribution channels. Its README advertises Bioconda, Maven Central, Javadocs, Zenodo DOI metadata, and installation through conda or a minimal conda package; the batch package facts show a Homebrew formula as well.

The project README says the tools are used by Fulcrum Genomics customers and others for ad-hoc analysis and production pipelines. That positions fgbio as a practical pipeline component rather than only a reference implementation.

使用方式

Users run fgbio as a command-line toolkit over FASTQ, SAM/BAM, VCF/BCF, and related genomic data. Common documented areas include UMI annotation and correction, grouping reads by UMI, calling molecular or duplex consensus reads, filtering and clipping BAMs, sorting and updating read groups, collecting QC metrics, and manipulating contig names.

The README documents `java -jar target/scala-2.13/fgbio-<version>.jar` for command discovery when building locally, while normal users are directed to the hosted tools documentation and package-manager installation.

为什么软件包爱好者会关心

fgbio matters to package maintainers because it packages a JVM/Scala genomics toolkit as a reproducible command-line dependency for sequencing pipelines. Its useful surface is a large family of subcommands, so packaging quality is about making one executable reliably available with the right Java runtime rather than exposing a single algorithm.

时间线

  • 2016: GitHub repository created and 0.1.0 released.
  • 2024: Zenodo DOI metadata was present in the project README badge.
  • 2026: GitHub API showed release 4.1.0 and recent repository activity.

Related projects

  • fgbio relates to bioinformatics tools and formats around FASTQ, SAM/BAM, VCF/BCF, Unique Molecular Index workflows, and Fulcrum Genomics' Rust fqtk demultiplexing work mentioned in the README.

安全态势

尚未找到受保护工具覆盖

没有找到 fgbio 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。

安装行为

  • 未记录 Homebrew bottle 元数据。

建议审查

在无人值守的代理使用前,请检查该工具是否读取明文凭据、写入远程状态、发布制品或调用插件。

可执行文件

已安装的可执行文件

命令类型暴露范围备注
fgbio可执行文件已索引可执行文件从本地可执行文件索引发现。

新鲜度

版本和新鲜度

这些信号区分页生成时间、软件包管理器活动和上游发布比较。只有存在证据 URL 和可比较版本时,才会提示版本落后。

页面生成时间2026-08-03
管理器版本4.1.0
管理器更新时间2026-05-20
本地数据未知
上游不可用
检测到的最新版本未检测到
  • OK没有生成新鲜度警告。

安装元数据

软件包元数据

软件包键brew:fgbio
版本4.1.0
软件包管理器Homebrew
主页https://fulcrumgenomics.github.io/fgbio/
仓库https://github.com/fulcrumgenomics/fgbio
最后更新2026-05-20T05:30:27Z
Pulseupdated
Bottle未记录
服务未声明

来源线索

由仓库数据生成

此页面由 av-webscripts/generate-pkg-sqlite.py 生成的私有软件包 SQLite 工件提供。

使用的来源

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