QIAGEN CLC Genomics Workbench

For analyzing, comparing, and visualizing next-generation sequencing data

Products

CLC Genomics Workbench, Desktop Plus

Cat. No. / ID: 832021

1 year subscription for a static license to use the software on a single computer. Includes maintenance, upgrade and service.

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CLC Genomics WB, Network Plus

Cat. No. / ID: 832022

1 year subscription for a network license to use the software on any network-connected computer. Includes maintenance, upgrade and service.

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Features

Cross-platform desktop application with an intuitive and user-friendly interface
Incorporates cutting-edge technology and algorithms
Includes numerous features in genomics, transcriptomics, and epigenomics
Supports all major next-generation sequencing platforms

Product Details

CLC Genomics Workbench is a comprehensive analysis package for the analysis and visualization of data and supports all typical NGS workflows. Additionally, it includes all the sequence analysis tools of CLC Main Workbench. Learn more about QIAGEN CLC Genomics Workbench.>

Performance

Intuitive and user-friendly

The software is made by biologists for biologists. Its intuitive graphical interface and user-friendly analysis capabilities simplify data analysis.

Cross-platform

CLC Genomics Workbench is a cross-platform desktop application and is compatible with Windows, Mac OS X, and Linux platforms.

Cutting-edge technology

The workbench incorporates cutting-edge technology and the newest state-of-the-art algorithms, while also supporting and integrating into the rest of a typical NGS workflow.

Support for all major next-generation sequencing platforms

CLC Genomics Workbench supports all the major next-generation sequencing platforms, including Oxford Nanopore, PacBio, IonTorrent, BGI/MGI, Illumina, as well as Sanger.

Applications

CLC Genomics Workbench is used for genomics, transcriptomics, and epigenomics research. It includes, for example, unique read mapping and de novo assembly features, and applications for resequencing, workflows, ChIP-seq, and RNA-seq.