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IP Update: Microsoft, MathWorks, among Recent Bioinformatics Patent Winners

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US Patent 8,521,441. Method and computer product for reducing flurophore-specific bias. Inventors: Roland Stoughton, Hongyue Dai. Assignee: Microsoft

Describes a computer-based method for using data from repeated experiments to "generate a confidence value for each data point, increase sensitivity, and eliminate systematic experimental bias."


US Patent 8,521,438. Computer-implemented cellular modeling parallel pathways. Inventors: Patrick Edson, Ricardo Paxson. Assignee: The MathWorks

This patent is for a computerized method of generating cellular models.


US Patent 8,515,680. Analysis of transcriptomic data using similarity based modeling. Inventors: Robert Pipke, Jack Mott. Assignee: Venture Gain

This patent describes a model-based approach for analyzing genomic, proteomic, and transcriptomic data for use in diagnostics, prognostics and biomarker discovery.


US Patent 8,494,783. Method and apparatus for storing and processing molecular information. Inventor: Hikaru Samukawa. Assignee: International Business Machines

This patent describes a method and apparatus for storing and processing molecular structures.

The Scan

Genetic Risk Factors for Hypertension Can Help Identify Those at Risk for Cardiovascular Disease

Genetically predicted high blood pressure risk is also associated with increased cardiovascular disease risk, a new JAMA Cardiology study says.

Circulating Tumor DNA Linked to Post-Treatment Relapse in Breast Cancer

Post-treatment detection of circulating tumor DNA may identify breast cancer patients who are more likely to relapse, a new JCO Precision Oncology study finds.

Genetics Influence Level of Depression Tied to Trauma Exposure, Study Finds

Researchers examine the interplay of trauma, genetics, and major depressive disorder in JAMA Psychiatry.

UCLA Team Reports Cost-Effective Liquid Biopsy Approach for Cancer Detection

The researchers report in Nature Communications that their liquid biopsy approach has high specificity in detecting all- and early-stage cancers.