This inventor holds 2 USPTO granted patents and 1 EPO patent. Top assignee: Wisconsin Alumni Research Foundation. Active years: 2012.
Location History:
- Madison, WI (US) (2012)
- La Jolla, CA (US) (2012)
Company Filing History:
Years Active: 2012
Title: Christopher P. Churas: Innovator in Single Molecule Data Management
Introduction
Christopher P. Churas is a notable inventor based in Madison, WI (US). He has made significant contributions to the field of molecular data management, holding 2 patents that showcase his innovative approach to complex data analysis.
Latest Patents
One of his latest patents is a "Computer database system for single molecule data management and analysis." This system is designed to store, process, display, and analyze single molecule data. It is capable of managing variously formatted data and allows users to display subsets of this data upon request. The architecture of the system is component-based, ensuring that processing and displaying functions are performed separately. The data is dynamically loaded for processing as needed, making it particularly useful for managing single molecule images generated by technologies such as optical mapping, atomic force microscopy (AFM), scanning tunneling microscopy (STM), and flow cytometry. Additionally, he has developed "Methods of whole genome analysis," which provide techniques for determining the sequence of genomic DNA samples through nicking and nick translation with labeled nucleotides.
Career Highlights
Christopher Churas is associated with the Wisconsin Alumni Research Foundation, where he applies his expertise in molecular data management. His work has been instrumental in advancing the capabilities of data analysis in the field of genomics.
Collaborations
He has collaborated with notable colleagues, including David Charles Schwartz and Galex S. Yen, contributing to a rich environment of innovation and research.
Conclusion
Christopher P. Churas stands out as an inventor whose work in single molecule data management and genomic analysis has the potential to significantly impact scientific research and data processing methodologies. His contributions continue to pave the way for advancements in the field.