Tailoring an ELN for enhanced experiment management and data analysis

Our client’s requirement

GSK is a leading pharmaceutical innovator in cancer treatment, immunology, and gene therapy. It prides itself on its commitment to cutting-edge research and technological advancement. The client aimed to enhance data management efficiency and streamline analysis processes by updating their ELN UI, integrating Signals Notebook, and developing customized workflows. However, they faced challenges integrating experimental data between Signals Notebook and CAPS, developing tailored workflows, and generating metadata, leading to inefficiencies and delays in data analysis and decision-making. The standard process incurred significant time delays, increased costs due to manual interventions, and accuracy concerns stemming from manual data handling. These inefficiencies resulted from the disparate systems and lack of streamlined workflows. Consequently, the company experienced hindered productivity, increased costs due to manual interventions, and compromised data accuracy, impacting their ability to efficiently advance research and development efforts.

Our approach

Excelra, a leading data science company, comprises qualified scientists and data engineers who have devised a comprehensive approach: Posting Experimental Sample Data from Signals to CAPS, NMR, and LCMS Systems. Developed intuitive screens using multiple APIs like ADT, Entities, and Samples for seamless data extraction from Signals Notebook. Data captured on signals chemical experiments are posted across the selected system (CAPS/NMR/LCMS) to process the data further. Read the case study to get more insight into Excelra’s approach.

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