Genedata Selector generates the GeneIndex, a gene catalog for biocuration of an unlimited number of microbial genomes from proprietary and public sources. The GeneIndex's sequence-based cross-referencing functionality enables genome comparisons between unlimited numbers of microbial strains. Applications range from  functional annotation of poorly-characterized genomes to identification of key mutations distinguishing an ancestral production organism from improved derivatives. The GeneIndex is the foundation of  Genedata Selector's highly automated data processing capabilities as well as sophisticated genomic data analysis tools.

Genedata Selector indexes a wide range of biological data including nucleic acid sequences, protein sequences, pathways, and phenotypes from public and proprietary sources. The GeneTargetView delivers the result of a Genedata Selector search in a single user-friendly viewer. Coupled to  effective search engine algorithms, the GeneTargetView provides easy and efficient access to all relevant information on a specific gene or protein.

A comprehensive suite of algorithms analyzes production strain derivatives resequenced by any next-generation sequencing (NGS) technique. The software automatically identifies mutations in derivative strains and deduces their impact at the DNA, protein, and pathway levels. The mutation analysis module highlights relationships between genotype and phenotype for further investigation. This facilitates discovery of key genetic factors influencing production, which in turn accelerates strain development for improved fermentation processes.

Innovative algorithms blend RNAseq data with traditional gene prediction approaches to validate and significantly improve the quality of gene models as well as to demonstrate new regulatory elements like small RNAs. Next-generation sequencing (NGS)-based gene models address reference strain complexity  and Genedata Selector provides improved functional annotation to clearly guide scientists studying the genetic basis of desirable production traits.

Genedata Selector is highly modular allowing customers to tailor the system to their specific research needs. The knowledge foundation of the system uses industrial standards and is implemented with an Oracle^®-based relational database. Every feature of the software is designed for scalability and can be used for genomes ranging from tens to a virtually unlimited number.

Genedata Selector has been designed as a central infrastructure component for innovative R&D organizations within all segments of the industrial biotechnology market. Its open interface allows for integration with in-house systems and the software  works downstream of Supervisory Control and Data Acquisition (SCADA) and Process Information Management Systems (PIMS). With user-friendly infrastructure, interactive visualization, and project support capabilities, Genedata Selector accelerates IP generation and protection.