CLC Genomics Workbench
For analyzing, comparing, and visualizing next-generation sequencing data
CLC Genomics Workbench is a comprehensive analysis package for the analysis and visualization of data from all major next-generation sequencing (NGS) platforms. The workbench supports and seamlessly integrates into a typical NGS workflow. CLC Genomics Workbench is available for Windows, Mac OS X, and Linux platforms. Incorporating cutting-edge technology and algorithms, CLC Genomics Workbench supports key next-generation sequencing features within genomics, transcriptomics, and epigenomics research fields. Additionally, it includes all the classical analysis tools of CLC Main Workbench.
The CLC Genomics Workbench is intended for molecular biology applications. This product is not intended for the diagnosis, prevention, or treatment of a disease.
Intuitive and user-friendlyThe software is made by biologists for biologists. Its intuitive graphical interface and user-friendly analysis capabilities simplify data analysis.
Cross-platformCLC Genomics Workbench is a cross-platform desktop application and is compatible with Windows, Mac OS X, and Linux platforms.
Cutting-edge technologyThe 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 platformsCLC Genomics Workbench supports all the major next-generation sequencing platforms, including SOLiD, Ion Torrent, Complete Genomics, 454, Illumina Genome Analyzer, as well as Sanger. CLC Genomics Workbench allows read mapping, as well as de novo assembly of hybrid data.
A comprehensive analysis packageCLC Genomics Workbench includes a number of features for genomics, transcriptomics, and epigenomics research.
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.