Classical diagnostic makes use of pathology and microscopy to identify disease patterns by inspecting biopsy, body fluid, and others samples with laboratory methods such as microscopy, staining, and single observations, to obtain qualitative assignments performed by experienced medics. With the arrival of different omics technologies, samples can now also be characterized based on the quantitative measurement of a vast array of genes, transcripts, proteins and metabolites. This additional information can be used to support or contradict the diagnosis.
Genedata is developing technology as part of the Expressionist platform which provides the means to study all of the various data within a joint analysis environment. Building and maintenance of the reference data set and the definition of suitable markers is crucially dependent on data persistence and the use of suitable statistical approaches.
Please check back for the latest developments in molecular diagnostics at Genedata or contact us to receive more information.
Key Features
- Rapid and standardizable pre-processing and quality assessment of omics raw data
- Flexible integration of diverse data types and sources based on common annotations or study design
- Unlimited scalability to large data sets of hundreds of millions of data points
- Comprehensive analysis for biomarker discovery and in-silico prediction
- Streamlined integration with complementing analysis and interpretation tools
- Supports organizations’ processes for 21 CFR part 11 regulation compliance