Presented at the World Congress on Industrial Biotech, San Diego, CA, USA
With the decreased cost of next generation sequencing technologies (NGS), metagenomics is now within the reach of many labs and researchers. However until now, the study of microbiome genomics suffered from a lack of integrated computational solutions that allow to seamlessly go from raw next-generation sequencing data to the statistical analysis of results and metadata to the interactive visualizations that provide the insights. The comprehensive and scalable genome knowledge management suite, Genedata Selector, directly addresses this challenge and offers an end-to-end workflow that integrates the algorithms, a unique analysis pipeline, interactive visualization and powerful statistical tools.
Here we demonstrate how big and complex data sets from NGS-derived metagenomes and transcriptomes are integrated in Genedata Selector and analyzed at different stages, enabling discovery of novel target microbes, genes, proteins, and pathways which can be used to design novel biocatalysts or enzymes, diagnostic, or therapeutic strategies, resulting in new IP.
Genedata Selector provides:
We demonstrate how this application suite is used for a metagenomic and meta-transcriptomic approach to simultaneously obtain information on both functional characteristics and (taxonomical) structure of microbial communities, and how biomarkers and/or indicator species are easily identified.
The development of new biomarker based tools and novel enzymes via metagenomic approaches will unlock the massive uncultured microbial diversity present in the environment, providing new insights for biotechnological applications.