FastQC is a Quality Control Analysis Tool Specifically Designed for High Throughput Sequencing Data

Hazem Abbas

Dec 12, 2023 — 2 min read

FastQC is a quality control analysis tool for high throughput sequencing datasets. It checks the quality of raw sequence data, runs analyses on sequence files, and produces a report highlighting any unusual areas. It can be used for various types of sequencing techniques.

FastQC will highlight any areas where this library looks unusual and where you should take a closer look.

FastQC is not tied to any specific type of sequencing technique, so it can be used to look at libraries of various experiment types (Genomic Sequencing, ChIP-Seq, RNA-Seq, BS-Seq etc etc).

FastQC is written in Java, making it a cross-platform application that can run on Windows, Linux, macOS, and Unix systems.

Features

Imports data from BAM, SAM, FastQ, and other compatible file formats
Provides a comprehensive overview of the data, identifying potential problem areas and suggesting solutions
Generates detailed summary graphs and tables for a thorough assessment of the data
Offers the option to export results to HTML, allowing for easy sharing and collaboration
Supports offline usage, ensuring accessibility and convenience even without an internet connection

Platforms

Windows
Linux
macOS

License

GNU General Public License version 3.0 (GPLv3)

Resources & Download

Download FastQC for free. A quality control analysis tool for high throughput sequencing data. FastQC is a quality control analysis tool designed to spot potential problems in high throughput sequencing datasets. Its goal is to provide a simple way by which to check the quality of raw sequence data coming from high throughput sequencing pipelines.

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