Battelle Memorial Institute

Gregory S Thomas

Nancy E Miller

Vernon L Crow

Jeffrey D Saffer

Randall E Scarberry

Deborah A Payne

Sean J Zabriskie

Heidi Sofia

Susan L Havre

Augustin J Calapristi

Lucille T Nowell

Lisa C Stillwell

Guang Chen

Scott D Decker

Sarah J Thurston

Joel M Malard

Cory L Albright

Kevin M Groch

A system or method consistent with an embodiment of the present invention is useful in analyzing large volumes of different types of data, such as textual data, numeric data, categorical data, or sequential string data, for use in identifying relationships among the data types or different operations that have been performed on the data. A system or method consistent with the present invention determines and displays the relative content and context of related information and is operative to aid in identifying relationships among disparate data types. Various data types, such as numerical data, protein and DNA sequence data, categorical information, and textual information, such as annotations associated with the numerical data or research papers may be correlated for visual analysis. A variety of user-selectable views may be correlated for user interaction to identify relationships that exist among the different types of data or various operations performed on the data. Furthermore, the user may explore the information contained in sets of records and their associated attributes through the use of interactive 2-D line charts and interactive summary miniplots.

Data processing, analysis, and visualization system for use with disparate data types

Growing community of inventors

Kennewick, WA, United States of America

Gregory S Thomas