Next-Generation Sequencing

With the arrival of next-generation sequencing technology, molecular biologists are now able to obtain experimental sequence data at significantly lower costs and reduced time. These sequence data are key for an improved understanding of biological systems and deciphering of the phenotype-genotype relationship.

The rapid development of next-generation sequencing has resulted in significant computational challenges, namely to manage, process, visualize and analyze huge amount of complex data. For example, data set sizes of more than 100 GB, which are common for a standard project, are expected to exceed more than several TB within the next few years.

With sequencing platforms generating vast amounts of information, it is important to develop highly scalable software, which enables scientifically meaningful analysis and management of different complex data types. Whole genome analysis of RNA expression, gene regulation, DNA methylation, SNP analysis, and copy number variation should easily be combined and analyzed allowing for the integration of different biological information and their relation to each other.

Through a long history of successful research partnerships and hypothesis-driven research, Genedata has the expertise and real-world experience to address these challenges. Genedata has developed technology and algorithms to manage, process, visualize and analyze all of these complex data sets.

Two products currently in development include:

• Integrated Strain Development Platform (ISDP) -  a comprehensive data management and analysis system for industrial biotechnology strain optimization applications.

• Refiner Genome – an integrated and whole genome analysis system for pharmaceutical drug development applications.