Labmatrix™ Customers and Applications

Labmatrix™ is designed to support translational research, having been developed and adopted by human genetics and inherited disease researchers. Labmatrix is being used on a daily basis by clinicians, geneticists, scientists and other researchers to collect, manage, cross-reference and query data from clinical and translational research studies.

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List by research study
List by technology and data type
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Select list of Labmatrix users by institution

• A world-renowned clinical and research center in Cleveland, Ohio.
• Case Western Reserve University
• Hackensack University Medical Center
• National Cancer Institute, NIH
• National Eye Institute, NIH
• National Human Genome Research Institute, NIH
• National Institute of Allergy and Infectious Diseases, NIH
• University of California at San Francisco

Select list of research studies utilizing Labmatrix

Labmatrix features a disease-neutral design, as evinced by the wide spectrum of research studies utilizing Labmatrix. User-customizable ontologies, shared vocabularies, links to NCBI and EMBL databases, UMLS terms and user-defined vocabularies enable standardized data collection in the therapeutic areas of focus.

• behavioral genetics
• cardiovascular
• gastroenterology
• immunology
• metabolic
• neurology
• oncology
• opthamology

Select list of technologies and data types

Labmatrix is being used to manage a wide spectrum of study data, both clinical and molecular analytical data. Labmatrix features a technology-neutral design, to accomodate your unique needs, regardless of the type of assay, instrument, file format, or purpose. Both high-throughput, multi-plex and low throughput assay data are easily accomodated in Labmatrix and data entry is simplified with Excel interfaces throughout. Other electronic interfaces, such as HL7 and an API complete the package and enable integration into existing IT infrastructures. The following list summarizes some of the technologies currently in use for which Labmatrix is providing data management and cross-querying capabilities at client sites.

• genomic microarray
• proteomic mass spectromety
• immunoassay
• DNA sequencing (CLIA)
• patient demographic
• clinical measurements/lab results
• diagnostic radiology
• family history/pedigree
• ...

Select list of Labmatrix applications

Traditionally, clinical and molecular analytical data have resided in different systems, databases or files. What is driving the integration of these disparate datasets is the emergence of personalized medicine driven by translational biomedical research. This enterprise relies on merging clinical and molecular data so that the sum total of the data can be queried for biomarker discovery, generating new scientific insights, hypotheses, lines of inquiry, and subsequent decisions.

Biospecimens are often the bridge between clinic and bench, though biorepositories are managed and maintained in an ad-hoc manner in most research laboratories. It is not uncommon to find multiple spreadsheets and databases within the same lab, developed to manage the different types of samples collected for research purposes, often with little cross-referential integrity.

Labmatrix features the functionality to both merge clinical and molecular analytical data, and manage the lifecycle of specimen tracking from initial collection and processing to downstream utilization for molecular analyses. In this way, a wide spectrum of both scientifically-relevant and operational queries may be run to provide today’s busy scientists with answers they need quickly and easily. A versatile system with fine-tuned access control built in, Labmatrix utility spans a spectrum of applications including clinical and translational research management, biomarker discovery and biorepository management.

• Clinical and translational research

Labmatrix merges multiple disparate data sources in a single, queryable, web-based repository ideal for multi-site, collaborative research.

Research study data management in Labmatrix replaces the various assortment of electronic and paper files to manage both laboratory operations, human clinical samples, genetic, pedigree and experimental data while capturing key clinical information such as patient demographics and clinical measurements. Labmatrix is used in this environment to manage, integrate and query patient clinical and sample data together with genetic, pedigree, and experimental data. Queries and formatted reports enable rapid retrieval of data across multiple studies or filtered against multiple criteria.

• Biomarker discovery

Biomarkers further our understanding of disease and are key to developing sensitive and specific diagnostic assays for the benefit of human health. Discovering and developing relevant clinical biomarkers requires the integration of different molecular technologies and powerful biostatistical methods. Often, the most difficult step is organizing and combining the aggregate, validated datasets, which may be in different file formats, instruments or systems. Data sorting, querying, and filtering replicate datasets while maintaining links to original sample and experimental information is crucial.

Labmatrix provides the framework to manage sample, workflow, and resulting datasets regardless of technology or instrumentation employed, the specimen or assay type. Employing a strategy of successive query on processed, normalized datasets enables discovery of biomarker candidates that can be utilized for further analytical validation.

• Sample management

Human clinical specimens are often the bridge between the clinic and the lab, enabling researchers in the post-genomic era to associate genes and proteins to human disease and conditions. Biorepository management entails the maintenance of highly annotated, research-quality biospecimens, as well as documentation of every step of the process from donor consent to sample processing and data collection.

Labmatrix enables comprehensive sample management and tracking through the lifecycle of specimen utilization from collection, measurement and storage to utilization and disposal. Any type of biological specimen can be managed in a system enabling standardization of data collection and shared vocabulary. Biorepository management in Labmatrix simplifies specimen retrieval, whether searching for samples meeting clinical or scientific criteria. While other biorepository software systems focus on inventory management, Labmatrix incorporates additional features to link other relevant data sources, including microscopy images, plasmid maps, links to PubMed, sample workflows, results from genotyping or other downstream molecular analytical assays all in an intuitive package that is in use in some of the leading research institutes today. Read more here...