Genedata, the leading provider of enterprise software solutions for biopharmaceutical R&D, announces that Syngene International has become the first Indian contract research, development, and manufacturing organization (CRDMO) to leverage Genedata Screener®, the industry gold standard for assay analytics, as their primary analysis tool for in vitro screening assays.

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“We use Genedata Screener for in vitro biochemical and cell-based screening assay data analysis, and it’s become the analysis tool we rely on for this data,” said Jayashree Aiyar, Chief Scientific Officer, Syngene International. “The platform is easy to use so it took minimal effort for our scientists to become proficient. With Genedata in place, it’s easier to work with our partners and our analysis much faster and more robust.”

We use Genedata Screener for in vitro biochemical and cell-based screening assay data analysis, and it’s become the analysis tool we rely on for this data. Jayashree Aiyar, Chief Scientific Officer at Syngene International

“We could begin using it quickly, thanks to support from the Genedata Team. After a brief, guided initial setup we could instantly centralize and easily manage our data,” said Anuradha Ramanathan, Director, Discovery Biology, Syngene International. “With multiple technologies, partners, software, and users, managing our data pipeline is critical to deliver for our partners. Genedata centralizes all of that into one place and makes it much easier to manage.”

Genedata Screener streamlines data management and analysis for all screening and assay development operations into one platform. It validates raw data and assay result quality and consolidates information across the enterprise and external collaborators.

“We are pleased that Syngene has adopted Genedata Screener to facilitate easier data exchange with their partners,” said Othmar Pfannes, Ph.D., President of Genedata. “We see a way to dramatically accelerate biopharma R&D by supporting CRDMOs and their partners in the biopharma industry in harmonizing data analytical workflows and streamlining the collaboration between them.”

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Source – Prweb