Sunday, July 24, 2011
Grand Ballroom, 5th fl (Sheraton New Orleans)
R&D in Industrial Biotechnology covers a wide range of activities, such as molecular screening, protein engineering and process optimization. Biological sequence management and analysis are central to all of these activities, and its importance for success has significantly increased due to the arrival of cost-efficient and fast next generation sequencing technologies. Genedata Selector™, an innovative software system for data management and data analysis, supports all next generation sequencing (NGS) based R&D processes with automated as well as interactive tools that give researchers access to comprehensive, coherent, research-critical information. Here we outline how the barriers between data acquisition, data analysis, decision making and IP-protection have been eliminated to streamline the R&D process. We will show how the modular system facilitates identification of new potential genes and enzymes through comparative analysis of genomes and metagenomes. It comprehensively manages early discovery data prior to development, and registers biological materials such as plasmids, expression systems and purified samples. Available genome information on production strains or previous expression systems can easily be integrated to standardize the optimization of production systems and processes. In combination with transcriptomics, proteomics and metabolomics data, Selector forms the basis for an integrated in-depth understanding of cellular metabolism and the generation of production models. Finally, the platform offers seamless integration of tools to investigate and track the current patent landscape, critical for decision support in product management.