Genedata Selector for Biopharma

With next-generation sequencing becoming faster and more cost-effective, more and more biopharma companies are looking to capitalize on this innovative technology. NGS data can be used to optimize everything from host cell line engineering and selection to assessing production samples for adventitious agents such as viruses, bacteria, and fungi. Genedata Selector® for Biopharma, is an enterprise software platform that enables scientists to integrate, manage, and analyze genomic data, metabolic pathways, phenotypes, and intellectual property on a single platform. Based on sophisticated data analysis algorithms, Genedata Selector supports efficient NGS based cell line design and selection and precise gene editing for any organism or genome of interest (both for de novo or resequencing projects).

A Solution for Scientists and Bioinformaticians

Find out how you can develop highly competitive proprietary cell lines and processes, as well as improve the success of cell line engineering projects.

Enhanced Understanding of Cell Line Genomes for Improved Engineering
  • Discover genotype/phenotype relationships through the application of comparative genomics (e.g. between yeast, E. coli, or animal models such as mouse, hamster, and cell line genealogies)
  • Seamlessly integrate molecular data (“omics”) and compare properties between cell lines
  • Consolidate sequence information (de novo or re-sequenced) of proprietary cell lines allowing identification of mutations, their classification (point, indels, translocations) and automatic inference of their biological effects on protein sequences and pathways

    Efficient Elucidation of Phenotypic Differences Between Cell Lines and/or Cell Culture Processes
    • The database at the core of Selector serves as a hub to manage a full network of knowledge, and connect a wide range of data types together
    • Diverse data types such as genome sequences, enzymatic pathways, phenotype, and sequence based intellectual property information can be easily stored, queried and analyzed within Selector
    • Knowledge and relevant information associated with genomes and derivative strains can be queried and restored from existing in-house and public data sources and networks through built-in agents
    • New data can be annotated with knowledge from previous studies and outside information

    Optimization of Cell Culture Processes
    • Use interactive analysis of time-resolved gene expression and metabolite data to efficiently define best process conditions
    • Easily understand the influence of culture conditions on gene expression based on advanced tools
    • Identify new engineering targets by comparing genotypes and phenotypes of different cell lines under various process conditions

      Determination of Targets for Apoptosis Control, Protein Secretion, Glycosylation, Product Quality or Stress Control Regulation
      • Overlay cellular networks with metabolic data or expression data from microarray or RNA-Seq results to easily detect gene candidates or metabolites causing reduced viability, lower specific productivity or high death rate (apoptosis)
      • Determine key regulators by easily integrating and managing protein interactions and signaling pathways (public and proprietary) in Genedata Selector
      • Visualize relevant genes to improve protein production and properties (transcription factor binding sites or promoters) down to the sequence level
      • Integrate time-resolved data to identify changes in gene expression, visualizing the data on pathway maps to unlock insights, validate or develop novel hypotheses

        Our solution portfolio consists of scientific and technical consulting. Genedata scientific consulting addresses the complete life cycle of biopharmaceutical R&D projects – from early-stage feasibility studies through late-stage product development – delivering a full portfolio of analysis and bioinformatics services. Our broad spectrum of technical consulting services ranges from custom software development, strategic co-development projects, and data loading/integration to hosting and IT services.