CLC Genomics Workbench

QIAGEN CLC Genomics Workbench is a comprehensive desktop software package designed for the analysis, comparison, and visualization of next-generation sequencing (NGS) data. Built by biologists for biologists, it combines an intuitive graphical interface with state-of-the-art algorithms to simplify complex genomic data analysis workflows. It is suited for researchers working across genomics, transcriptomics, and epigenomics disciplines.

In addition to its extensive NGS capabilities, CLC Genomics Workbench incorporates all the sequence analysis tools found in CLC Main Workbench, making it a unified solution for a broad range of sequencing and bioinformatics tasks.

Key Features

• Cross-platform desktop application compatible with Windows, Mac OS X, and Linux
• Intuitive and user-friendly graphical interface designed to simplify data analysis for biologists
• Incorporates cutting-edge technology and the latest state-of-the-art algorithms
• Supports all major next-generation sequencing platforms, including Illumina, Oxford Nanopore, PacBio, IonTorrent, BGI/MGI, and Sanger
• Includes all sequence analysis tools from CLC Main Workbench

Applications and Capabilities

• Genomics, transcriptomics, and epigenomics research workflows
• Unique read mapping and de novo assembly features
• Resequencing analysis and workflow management
• ChIP-seq analysis for epigenomics studies
• RNA-seq analysis for transcriptomics research
• Supports all typical NGS workflows end-to-end

Licensing and Deployment

• Available as a Desktop Plus license (Cat. no. 832021): a one-year subscription for a static license on a single computer
• Available as a Network Plus license (Cat. no. 832022): a one-year subscription for a network license usable on any network-connected computer
• Both license types include maintenance, upgrades, and service for the subscription period

CLC Genomics Workbench integrates seamlessly into broader NGS workflows and is designed to complement QIAGEN's wider portfolio of sample-to-insight solutions, making it a versatile choice for research laboratories requiring robust, scalable bioinformatics capabilities.