With version 11, CLC Genomics Workbench can now be used as a free genome browser to share, view, and explore NGS analysis results.
Enjoy support for a wide range of open and proprietary file formats. No license required!
CLC Genomics Workbench is a powerful solution developed by scientists for scientists to analyze and visualize next generation sequencing (NGS) data. Its cutting-edge technology incorporates unique features and algorithms that are widely used by scientific leaders in industry and academia to overcome bottleneck challenges associated with data analysis.
If you’re already a customer, you can find your latest releases and downloads here.
We’re bringing user-friendly bioinformatics software solutions to the fingertips of life scientists. CLC Genomics Workbench ensures your research continuity by offering a complete and customizable solution for genomics, transcriptomics, epigenomics, and metagenomics.Check out the features
CLC Genomics Workbench is developed to support a wide range of NGS bioinformatics applications. The workbench is the ideal tool to generate custom workflows, and accelerate your data analysis. For instance, workflows can combine quality control steps, adapter trimming, read mapping, variant detection, and multiple filtering and annotation steps into a pipeline you can share with colleagues and execute with just one click.
CLC Genomics Workbench offers a comprehensive and scientist friendly toolbox to ensure continuity in the NGS analysis workflows that power your genomics research. To start your data analysis now, download a trial and follow the step by step instructions of our tutorials.
If you own a benchtop sequencer with an output under 250 GB of data per run, you are eligible to register for a 90-day trial license.
For validation of your ownership, please also send a photo of your instrument and serial number to [email protected]
Special requirements for the 3D Molecule Viewer
Special requirements for de novo assembly De novo assembly may need more memory than stated above – this depends both on the number of reads, error profile and the complexity and size of the genome. See our white paper on De novo assembly for examples of the memory usage of various data sets.
We frequently release updates and improvements such as new functionalities, bug fixes or plugins. To get a complete overview, please read the latest improvements.
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