The Platform for Science for MDx and Clinical Labs
The Platform for Science provides extensive capabilities to genomics and next-generation sequencing laboratories looking for an information system to support their work in gene finding, gene expression and genotyping. The platform supports labs conducting biomarker, systems biology, gene therapy, translational research, and more. It unifies work across multi-site organizations by allowing end-users, performing different functions at disparate sites, access to the same data and the ability to view their colleagues’ work, with appropriate permissions.
The Platform for Science provides scientists a platform from which to gather, validate, store, retrieve, report, and analyze the vast amount of data required in genomics studies. The platform creates a unified repository for data, while protecting the data by only allowing access to users with valid permissions. This repository simplifies the reporting and analysis of genomics data, allowing analysts to understand the information they have gathered and apply it to full systems biology studies.
The system reduces bottlenecks in an organization by allowing for employee and instrument work scheduling, as well as by automating the collection of the huge amount of data inherent in genomics and next-generation sequencing studies. The Platform for Science aids genomics labs in their pursuit of improved early detection, prevention, and treatment of disease.
Platform for Science Benefits for MDx & Clinical Labs:
Instrument integration for data collection automation
Mass spectrometer integration and data review
Automatic results reduction & flagging
Integration with third party systems (ERP/HR/accounting etc.)
UV Quantitation & spectrometer integration
Sample management (login, registration integrity, life cycle tracking, etc.)
Chain of custody
Lot & batch management
Inventory, storage management
Customized automatic & ad hoc reporting
Automatic alerts based on thresholds, authorization, publishing
SNP & PCR assay management
SOP & protocol management
Data security & integrity
Multivariate data analysis
Work allocation & scheduling to reduce bottlenecks
Integration with Proteomics, Metabolomics features