P115: Genedata Selector™: A software system for fungal strain optimization

Sunday, July 24, 2011
Grand Ballroom, 5th fl (Sheraton New Orleans)
Nadim Jessani1, Asa Oudes1, Sebastien Ribrioux2, Ludwig Macko2, Thomas Hartsch2 and Hans Peter Fischer2, (1)Genedata Inc, San Francisco, CA, (2)Genedata, Basel, Switzerland
Next generation sequencing (NGS) has greatly increased the amount of data generated in genomic studies, in particular NGS applications such as genome and transcriptome sequencing. An integrative approach for management, analysis, and visualization of NGS data is required. In close collaboration with our customers we developed a flexible, scalable and integrative software solution called Genedata Selector™ to provide a platform for genomic studies. Genedata Selector™ facilitates integration of public and proprietary data in one database and contains built in tools for data analysis and visualization. With Genedata Selector™, the data analysis process of studies that generate complex and huge volumes of genomic data can now be streamlined and automated and allows scientists to focus on the interpretation of results. We illustrate how standard omics data together with NGS data of fungi can be used to elucidate the genetic variation, metabolic capacities, and stability of strains at a genome wide level. This is applied to select optimized fungi strains for antibiotic production.  We also demonstrate a variety of data analysis tools in the context of applications in different industrial biotechnology segments such as bio-fuels, cosmetics, detergents, agricultural sciences, food, beverage and feed processing.
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