Assay Data Management
& Decision-Making
Creating the therapies of tomorrow means laying the right foundations today--and that includes good data management. So many R&D decisions rely on assay data, often scattered across the enterprise and external collaborators. It pays to structure, annotate, and bring together assay information and results. Genedata Screener does all of this, paving the way for data-driven decision-making, AI-powered predictions, and beyond.
Assay Registration
Biopharma companies everywhere aspire to make their data FAIR, for easy access, understanding, exchange, and reuse in AI-assisted analyses. To get there, data must be described with universal terms, like those found in public ontologies (e.g. BioAssay Ontology), ontology management systems (e.g. CENtree), and other structured databases. Genedata Screener registers new assays and annotates them with a combination of such sources.
Assay Performance Monitoring
In discovery and development projects, a portfolio of assays are run for a longer term, to aid the assessment of molecules from different perspectives as they are iteratively optimized. Such assays may assess activity, potency, specificity, safety, and developability, which all should improve as molecules are developed further. To be able to reliably assess different generations of molecules, project teams need to ensure that the underlying assays remain sensitive and consistent over time.
Genedata Screener provides an integrated dashboard which shows related historical session, plate, and sample metrics, displayed in trend charts and aggregated as summary statistics. This allows comparison with new, not-yet-reported results from the current session with historical results. With Assay Performance Monitoring (APM), scientists can easily identify data quality issues in a running assay and improve the overall quality of the results they report over time.
Hit Profiling
Decisions are rarely based on just one experiment. Whether selecting a molecule from a multi-staged campaign or evaluating an antibody’s species cross-reactivity, you'll likely integrate results from different assays. Don't leave this complex task to a massive, hard-to-trace spreadsheets. With Genedata Screener, easily compile and compare cross-assay results. Aided both by built-in filters and powerful APIs with which you can plug in your own selection algorithms, find and flag hits in a matter of minutes.
Streamlined Reporting
FAIR data must be accessible. To enable this, data reporting publishing must be easy and direct: not cumbersome or full of error-prone copy-pasting. Our technical consultants will analyze your workflows and support integration of Genedata Screener to your data lake or warehouse.
Have a project meeting? Export plots and tables into Powerpoint or Excel for presentations or discussions. Attaching documents to an ELN? Instantly generate PDF reports.
Collaboration
Working with a CRO, an external collaborator, or another group at your organization? Exchanging data can be a problem. When everyone handles data their own way, it's easy to lose track of data provenance and hard to compare results. You can load any tabular result file into Genedata Screener—even if generated outside the Screener platform. Then, capture assay metadata, visualize, consolidate results, and report as usual to your data warehouse.