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QIAGEN CLC Assembly Cell

QIAGEN CLC Assembly Cell is a high-performance computing solution for mapping reads to a reference and de novo assembly of next-generation sequencing data.

With the command-line interface of QIAGEN CLC Assembly Cell, you can easily include these functionalities in scripts and other next generation sequencing workflows. It is easy to install on your desktop computer or a larger compute cluster. QIAGEN CLC Assembly Cell is accelerated through advanced algorithm implementations: they use the SIMD instruction set to parallelize and accelerate compute intensive parts of the algorithms, and make the software one of the fastest and most accurate packages for NGS data analysis on the market.

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Fast analysis of raw data and reporting

The features of QIAGEN CLC Assembly Cell offer many functionalities such as read mapping, de novo assembly, fast analyses of raw data and much more.

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Cluster support

Multiple QIAGEN CLC Assembly Cell can be run in parallel on a multi-node cluster.
In practice, almost every cluster is set up differently, and we therefore don’t provide an off-the-shelf solution that is guaranteed to work on your computer cluster. Instead we provide a free to download, free to use, and free to modify Perl script, as an example.

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Benchmarking

The latest version of QIAGEN CLC Assembly Cell introduces tools for error-correction and de novo assembly of raw PacBio reads. High quality assemblies can be generated in a fraction of the time that is needed by leading alternatives. QIAGEN CLC Assembly Cell consumes less than 10 percent of the memory used by alternative solutions, while completing the assembly faster.

We compared the performance of the industry standard HGAP1 when run on a high performance computer to the performance of a De Novo Assembly workflow in QIAGEN CLC Assembly Cell. Please note that our De Novo Assembly Pipeline was run on a standard laptop for this comparison.

Read the detailed benchmarks

Try QIAGEN CLC Assembly Cell today

We frequently release updates and improvements such as new functionalities, bug fixes or plugins. To get a complete overview, please see the latest improvements.