Genedata Unveils Revolutionary Software for Biopharma
Genedata, a prominent player in the biopharmaceutical software sector and a part of Danaher, has recently launched an advanced version of its Genedata Selector. This new software version is specifically designed to meet the stringent requirements of Good Manufacturing Practice (GMP) compliance in the rapidly evolving landscape of cell and gene therapy.
Streamlining NGS Data Processing
This latest iteration of Genedata Selector provides a comprehensive, end-to-end solution that automates the processing and analysis of next-generation sequencing (NGS) data. By significantly accelerating decision-making processes, the software aids biopharmaceutical companies in conducting effective quality control over their advanced therapies. One of the standout features is its enhanced capability to maintain data integrity, thereby streamlining the collaborative efforts among different stakeholders involved in the biopharmaceutical R&D landscape.
Complex Challenges in Biopharma
Characterizing therapies that rely on NGS involves dealing with large volumes of intricate sequencing data that need to be translated into actionable insights. Meeting these challenges necessitates accurate data analysis within a secure and compliant setting, especially when it comes to providing full documentation that validates IT systems for regulatory submissions. Genedata Selector has been developed in close collaboration with industry leaders to ensure an efficient and compliant validation process that ultimately facilitates a smoother path toward regulatory approval.
Key Features Enhancing GMP Compliance
A significant strength of Genedata Selector is its ability to allow structured handovers of data and processes among research, quality assurance, and manufacturing teams. The software incorporates built-in version control that ensures full traceability of data processing activities. Biopharmaceutical companies can automatically monitor every action taken—who performed it, when it was performed, and on which dataset—ultimately minimizing errors and elevating overall data quality.
Additionally, the new version supports expanded Multi-Attribute Method (MAM) applications, offering a broad catalog of NGS workflow activities that enable companies to maximize the potential of in-house NGS assays. By connecting seamlessly with data management systems such as Laboratory Information Management Systems (LIMS) and Electronic Lab Notebooks (ELN), as well as laboratory hardware and secure file storage systems, Genedata Selector aims to deliver the utmost in automation and efficiency, significantly improving sample tracking, data loading, and sequence data integration.
The Vision Behind Genedata
According to Othmar Pfannes, Ph.D., President of Genedata, the increasing complexity and evolving nature of biopharma regulations demand that companies remain proactive and informed. Genedata Selector is designed to enhance collaboration and automation while ensuring compliance throughout the entire data lifecycle. By doing so, it aids in accelerating the manufacturing of advanced biotherapeutics, thereby addressing some of the most pressing health challenges present on a global scale.
Genedata has been at the forefront of turning complex data into intelligible insights through innovative software solutions. Since its inception in 1997, the company has expanded its operations significantly and continues to serve multinational biopharmaceutical enterprises and pioneering biotech firms across the globe. Its solutions are aimed at maximizing the return on investment in research and development, spanning from initial discovery right through to clinical applications.
With an emphasis on continuous improvement and scientific excellence, Genedata seeks not only to enhance the quality of life for people worldwide today but also to lay down the foundations for a healthier and more sustainable tomorrow. Its headquarters are located in Basel, Switzerland, with additional offices spread across major cities including Boston, London, and Tokyo.
For more information, visit
Genedata's website.