Hardware-software appliances for genomic data storage and analysis. Designed and customized according to project requirements and customer needs. Integrated with massively parallel sequencing equipment.
Genome Server™ intended use:
collection and primary sequencing data processing; reliable long term data storage; data access control; software tools integration, analysis pipleline design and implementation; metadata storage; analysis results export.
What are advantages of Genome Server™?
Integration with massively parallel sequencing machines and other data sources.
System is assembled and tested, ready for usage after installation.
Genome data analysis
Preinstalled tools for genomic data analysis
Reliable data storage
Enterprise-level components from IT-industry leaders. Technical support and warranty is included in price
When do you need Genome Server™
Small servers with embedded storage delivered with the DNA sequencer fits for operative work and preliminary data processing, but doesn't fit for intensive data analysis and routine data storage because of limited resources and reliability. To overcome this specialized systems for efficient Big Data storage and processing should be used.
You fill in the form
We choose system according to your tasks or create custom configuration
We build and install the system
We provide training and technical support
Genome Server™ is available in three basic configurations, it's possible to design custom configuration according to specific tasks
Data analysis and storage from low-throughput sequencers
Data analysis from middle-throughput sequencers. Effective analysis and cooperative work on results
Data analysis from high-throughput sequencers, high-performance computing and petabyte-scale data storage system. Customer-based systems for projects with high requests for infrastructure
Additional services We offer additional services to assist our clients with all aspects of data analysis
High throughput massively parallel sequencing (MPS) data analysis
Software design and development
Software tools development and data processing algorithms design according to customer needs
Infrastructure and resource management
Requirements collection, infrastructure architecture design, physical and cloud resources management, tools and pipelines deployment and automation of bulk data analysis tasks