SoCal Bioinformatics provides consulting services that support the entire proteomic biomarker discovery process, from raw data processing all the way through to predictive modeling for discovering novel biomarker panels. We work with clients to during the entire process to ensure research and development have the greatest chance at clinical relevance.
Data manipulation and modeling with R, Python and Java. Cloud compute servers and data center engineering. Laboratory instrument operations and optimization.
Over 20 years combined industry experience in biomarker discovery. Advanced degrees in Analytical Chemistry and Informatics.
Multiple peer reviewed publications on LCMS and proteomics. Patents in clinical biomarkers. Developed CLIA LDT blood-based screening test for colorectal cancer.
Patient stratification to laboratory work flow, SCBI has helped clients develop processes to ensure quality data is generated from the beginning.
With existing data SCBI can apply proprietary tools to reduce variability, expand biological coverage and filter outlier data prior to statistical analysis.
Using advanced machine learning techniques and custom discovery pipelines, SCBI can find the signal hidden among the biological noise.