Genedata

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Genedata
TypePrivate
IndustryBioinformatics, biopharmaceutical, life sciences
Founded1997
HeadquartersBasel, Switzerland
Area served
Worldwide
Key people
Othmar Pfannes, Founder & CEO
ProductsSee detailed listing
Number of employees
~300
Websitewww.genedata.com

Genedata is a Swiss-headquartered bioinformatics company that provides enterprise software solutions that support large-scale, experimental processes in life science research. The company focuses on automating data-rich, highly complex data workflows in biopharmaceutical R&D. It continuously develops and markets interoperable software solutions that together comprise the Genedata Biopharma Platform.

Almost all of the world's top 50 biopharmaceutical companies,[1] including some of the most innovative R&D organizations developing groundbreaking therapies in fields such as cancer immunology, cell & gene therapy and vaccines, license at least one component of the Genedata Biopharma Platform. The company is headquartered in Basel, Switzerland with subsidiaries and offices in Germany, the United Kingdom, the United States, Singapore, and Japan.

Products[]

Genedata software solutions capture, process, and analyze huge volumes of experimental data and drive the automation of complex experimental setups. The Genedata Biopharma Platform is a product portfolio comprising two main types of software products:

  • Genedata Data Analysis Systems
  • Genedata Workflow Systems

Genedata Data Analysis Systems automate complex and data-rich processes throughout biopharma R&D, bringing built-in expert knowledge into the data analysis process. They support a vendor technology-agnostic approach; that is, they work for all types of instruments from different instrument vendors.

Genedata Expressionist

  • Streamlines biopharma mass spectrometry workflows across instruments and organizations.

Genedata Imagence

Genedata Screener

  • Captures, analyzes, and manages all screening data—automating even complex assays.[4]

Genedata Selector

  • Streamlines NGS-based workflows from cell line development to biosafety.

Genedata Workflow Systems provide a backbone for managing R&D processes.

Genedata Biologics

  • Transforms discovery of biotherapeutics including mAbs, bispecifics, ADCs, TCRs, and CAR T cells.[5]

Genedata Bioprocess

  • Designs next-generation manufacturing processes for cell line development, upstream and downstream processing, formulation, and analytics.

Genedata Profiler

  • Breaks down data silos and fosters data-informed decisions for successful clinical trials.

Genedata has been developing these platforms since 1997 and continues to develop its products, providing up to four software releases per year for each product to its customers under a software subscription license model. Services also offered include hosting under a Software as a Service (SaaS) model, operational IT services, integration and software customization, support and maintenance, as well as training and process consulting services.

Industries[]

Genedata has a strong presence in research & development laboratories where large quantities of complex experimental data are generated. Within the biopharmaceutical industry, Genedata collaborates with almost all of the top 50 biopharma organizations and many of the most innovative biotechnology companies worldwide. Genedata also works with leading agriscience and other life science organizations that address nutritional and health-related challenges. Contract research organizations (CROs) and academic research institutions also use Genedata software and services.

Sites[]

Genedata has established offices to address its customer's needs where they are based, around the world. Its offices are located in:

Basel, Switzerland—home of Genedata AG

See also[]

References[]

  1. ^ "SCW_APRMAY16". content.yudu.com. Retrieved 2019-03-01.
  2. ^ Walter, Kenny (2019-01-16). "Deep Learning Software Speeds Up Drug Discovery". Research & Development. Retrieved 2019-03-01.
  3. ^ "Bio-IT World". www.bio-itworld.com. Retrieved 2019-03-01.
  4. ^ "SCW_FEBMAR16". content.yudu.com. Retrieved 2019-03-01.
  5. ^ "Data-Driven Cell-Line and Process Development | GEN - Genetic Engineering and Biotechnology News | Page 5137". Retrieved 2019-03-01.

External links[]

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