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Fgbio

Tools for working with genomic and high throughput sequencing data.

Install / Use

/learn @fulcrumgenomics/Fgbio
About this skill

Quality Score

0/100

Supported Platforms

Universal

README

Build Status codecov Language Java Version License

Bioconda Maven Central Javadocs DOI

fgbio

A set of tools to analyze genomic data with a focus on Next Generation Sequencing.

<p> <a href="https://fulcrumgenomics.com"><img src=".github/logos/fulcrumgenomics.svg" alt="Fulcrum Genomics" height="100"/></a> </p>

Visit us at Fulcrum Genomics to learn more about how we can power your Bioinformatics with fgbio and beyond.

<a href="mailto:contact@fulcrumgenomics.com?subject=[GitHub inquiry]"><img src="https://img.shields.io/badge/Email_us-brightgreen.svg?&style=for-the-badge&logo=gmail&logoColor=white"/></a> <a href="https://www.fulcrumgenomics.com"><img src="https://img.shields.io/badge/Visit_Us-blue.svg?&style=for-the-badge&logo=wordpress&logoColor=white"/></a>

This readme document is mostly for developers/contributors and those attempting to build the project from source. Detailed user documentation is available on the project website including tool usage and documentation of metrics produced. Detailed developer documentation can be found here.

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Quick Installation

The conda package manager (configured with bioconda channels) can be used to quickly install fgbio:

conda install fgbio

To install fgbio without extra dependencies (e.g. R), use the command:

conda install fgbio-minimal

Goals

There are many toolkits available for analyzing genomic data; fgbio does not aim to be all things to all people but is specifically focused on providing:

  • Robust, well-tested tools.
  • An easy to use command-line.
  • Clear and thorough documentation for each tool.
  • Open source development for the benefit of the community and our clients.

Overview

Fgbio is a set of command line tools to perform bioinformatic/genomic data analysis. The collection of tools within fgbio are used by our customers and others both for ad-hoc data analysis and within production pipelines. These tools typically operate on read-level data (ex. FASTQ, SAM, or BAM) or variant-level data (ex. VCF or BCF). They range from simple tools to filter reads in a BAM file, to tools to compute consensus reads from reads with the same molecular index/tag. See the list of tools for more detail on the tools

List of tools

For a full list of available tools please see the tools section of the project website.

Below we highlight a few tools that you may find useful.

[fgbio-updatedelimited

Related Skills

View on GitHub
GitHub Stars359
CategoryDevelopment
Updated2d ago
Forks75

Languages

Scala

Security Score

100/100

Audited on Mar 20, 2026

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