Labmatrix

Labmatrix is a web-accessible clinical & translational research software system used for information management and integration of patient clinical, specimen, genetic and molecular assay data. With the ability to integrate these data sets in a tightly linked, highly annotated manner, Labmatrix has the kind of flexibility, security and data access control today’s scientists require for information management of biomarker discovery, biobanking and translational research efforts.

In the era of data-heavy assays & technologies (especially in clinical investigations and biomarker discovery), spreadsheets and "home-grown" databases no longer suffice to meet data management needs. With Labmatrix, you can effectively translate integrated data into meaningful discoveries and decisions.

Labmatrix is your data management hub for translational research that features:

• Agnostic technology to therapeutic area or research domain
• Able to manage data in a secure, centralized repository
• Able to interface with other application or database systems, e.g. electronic medical records, clinical trial management systems, LIMS, and other research applications such as genomic or proteomic databases
• Enables flexible user-driven electronic data capture forms without additional programming or customization
• Supported by a dedicated team that includes life science researchers, bioinformaticists, and information technology professionals
• Flexible and fine-grained user access control
• Requires minimal training
• HIPAA-compliant

Benefits of utilizing Labmatrix™ for biobanking include:

• transform your existing biobanking efforts to fully support translational research objectives
• rapid access to biosample information presented in patient, study, or specimen-centric views
• finding samples of interest, meeting ad hoc or defined criteria such as specimen type, concentration or stratified by histologic or pathologic parameters, quickly and intuitively
• management of all types of specimen, including biopsy tissue, biofluids, biomolecules (e.g. DNA, RNA, protein), and cells & cell lines
• collection and interactive display of all data for samples, including specimen lineage and derivations, for example, cDNA converted from RNA extracts, # of aliquots, sample-specific data such as concentration or cell counts, and images such as H&E stains for tissues, plasmid maps for cloning, etc.
• management of sample storage locations, barcode generation and support for external barcodes
• tracking sample chain-of-custody, usage history and associated results from sample utilization in molecular, experimental or clinical tests such as CBC blood values or biomarker analysis