Joel Malard

US Patent:

20060093222, May 4, 2006

Filed:

Nov 21, 2005

Appl. No.:

11/282567

Inventors:

Jeffrey Saffer - Richland WA, US
Gregory Thomas - Kennewick WA, US
Lisa Stillwell - Richland WA, US
Guang Chen - Richland WA, US
Vernon Crow - Kennewick WA, US
Cory Albright - Richland WA, US
Sean Zabriskie - Richland WA, US
Kevin Groch - Richland WA, US
Joel Malard - Richland WA, US
Lucille Nowell - Richland WA, US
Augustin Calapristi - Richland WA, US
Nancy Miller - San Diego CA, US
Randall Scarberry - Richland WA, US
Sara Thurston - Richland WA, US
Susan Havre - Richland WA, US
Scott Decker - Richland WA, US
Deborah Payne - Richland WA, US
Heidi Sofia - Walla Walla WA, US

International Classification:

G06K 9/62

US Classification:

382224000, 715968000

Abstract:

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.

US Patent:

20060106783, May 18, 2006

Filed:

Nov 21, 2005

Appl. No.:

11/282569

Inventors:

Jeffrey Saffer - Richland WA, US
Augustin Calapristi - Richland WA, US
Nancy Miller - San Diego CA, US
Randell Scarberry - Richland WA, US
Sarah Thurston - Richland WA, US
Susan Havre - Richland WA, US
Scott Decker - Richland WA, US
Deborah Payne - Richland WA, US
Heidi Sofia - Walla Walla WA, US
Gregory Thomas - Kennewick WA, US
Lisa Stillwell - Richland WA, US
Guang Chen - Richland WA, US
Vernon Crow - Kennewick WA, US
Cory Albright - Richland WA, US
Sean Zabriskie - Richland WA, US
Kevin Groch - Richland WA, US
Joel Malard - Richland WA, US
Lucille Nowell - Richland WA, US

International Classification:

G06F 17/30

US Classification:

707003000

Abstract:

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.

US Patent:

6990238, Jan 24, 2006

Filed:

Sep 30, 1999

Appl. No.:

09/410367

Inventors:

Jeffrey D. Saffer - Richland WA, US
Augustin J. Calapristi - Richland WA, US
Nancy E. Miller - San Diego CA, US
Randall E. Scarberry - Richland WA, US
Sarah J. Thurston - Richland WA, US
Susan L. Havre - Richland WA, US
Scott D. Decker - Richland WA, US
Deborah A. Payne - Richland WA, US
Heidi J. Sofia - Walla Walla WA, US
Gregory S. Thomas - Kennewick WA, US
Lisa C. Stillwell - Richland WA, US
Guang Chen - Richland WA, US
Vernon L. Crow - Kennewick WA, US
Cory L. Albright - Richland WA, US
Sean J. Zabriskie - Richland WA, US
Kevin M. Groch - Richland WA, US
Joel M. Malard - Richland WA, US
Lucille T. Nowell - Richland WA, US

Assignee:

Battelle Memorial Institute - Richland WA

International Classification:

G06K 9/62

US Classification:

382224, 707 1

Abstract:

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.