QIAGEN CLC Genomics Server

Multiple client options

CLC Genomics Server comes with three client options: CLC Genomics Workbench, CLC Server Command Line Tools, and a web interface. All are built on our service-oriented SOAP web-services. This provides complete choice on the client-side of the system, including an option to design your own client. All connections from clients to the server are secured through SSL.

Advanced customization

CLC Genomics Server has been designed for advanced customization. There are several approaches and options for customization such as plugin development and integration of external applications.

Flexible data management

CLC Genomics Server comes with a flexible data management solution for handling large amounts of genomics data. The data management architecture offers very flexible built-in tools for restricting access and managing bioinformatics data.

Scalability

With the built-in Job Node support of CLC Genomics Server, it is possible to attach an array of real or virtualized computers to the solution. These serve as the core execution points of your bioinformatic services based on queue prioritization. CLC Server jobs can be sent from a master server out to grid nodes, where a grid scheduling system is used to handle job scheduling and submission. CLC bio supports the third party scheduling systems OGE, PBS Pro, and IBM Platform LSF. Tested versions include OGE 6.2u6, PBS Pro11.0, LSF 8.3 and 9.1.

CLC Genomics Server gives provides a unique and stable software architecture core that makes it possible to apply a range of bioinformatics analysis services on high-throughput sequencing data. Based on a three-tier system architecture, CLC Genomics Server offers maximum security and intractability within the fields of biology and bioinformatics computing. CLC Genomics Server allows maximum client flexibility with support for our user-friendly CLC Genomics Workbench as a premium system-client. CLC Genomics Workbench supports a range of key next-generation sequencing features within genomics, transcriptomics, and epigenomics, such as read mapping.