System and method for data analysis, manipulation, and visualization

• US 7,146,384 B2
• Filed: 04/10/2003
• Issued: 12/05/2006
• Est. Priority Date: 04/10/2002
• Status: Expired due to Fees

• Current Assignee: vTv Therapeutics LLC (vTv Therapeutics, Inc.)
• Original Assignee: Transtech Pharma Incorporated
• Inventors: Sawafta, Reyad I.
• Primary Examiner(s): Wong, Don
• Assistant Examiner(s): DANG, THANH HA T
• Application Number:
  US10/411,568
• Publication Number:
  US 20040010515A1
• Time in Patent Office: 1,335 Days
• Field of Search: 707/4, 707/104.1, 707/6
• US Class Current: 1/1
• CPC Class Codes: G06F 16/26 Visual data mining; Browsing structured data
• CPC Class Codes: G06F 16/284 Relational databases
• CPC Class Codes: G16B 45/00 ICT specially adapted for bioinformatics-related data visualisation, e.g. displaying of maps or networks
• CPC Class Codes: G16B 50/00 ICT programming tools or database systems specially adapted for bioinformatics
• CPC Class Codes: G16B 50/20 Heterogeneous data integration
• CPC Class Codes: G16H 10/40 for data related to laboratory analysis, e.g. patient specimen analysis
• CPC Class Codes: G16H 30/20 for handling medical images, e.g. DICOM, HL7 or PACS
• CPC Class Codes: G16H 30/40 for processing medical images, e.g. editing
• CPC Class Codes: G16H 40/67 for remote operation
• CPC Class Codes: G16H 50/70 for mining of medical data, e.g. analysing previous cases of other patients
• CPC Class Codes: Y10S 707/99936 Pattern matching access
• CPC Class Codes: Y10S 707/99945 Object-oriented database structure processing
• CPC Class Codes: Y10S 707/99948 Application of database or data structure, e.g. distributed, multimedia, or image

Abstract

Systems and methods for data analysis, including data retrieval, dynamic scripting and execution, mining, storing, and visualization are dislcosed. One embodiment of this invention provides an integrated software solution for managing high volumes of numerical data quickly and efficiently. Another embodiment provides a complete and flexible solution for data acquisition, management, and manipulation. A further embodiment provides various views of assay data derived from a molecular discovery process.

Claims

1. A data management system for managing data relating to a plurality of analyses, the system comprising:

a processor configured to;

receive at least one data point for a first analysis;

receive at least one data point for a second analysis;

receive a first derived data point extracted from the at least one data point for the first analysis;

receive a second derived data point extracted from the at least one data point for the second analysis;

generate a graphical data display including each data point and each derived data point; and

a user interface configured to;

receive an indication that one of the at least one data points for the first analysis and the at least one data points for the second analysis are to be excluded from the first derived data and the second derived data without changing the value of either the at least one data point for a first analysis or the at least one data point for the second analysis, and

cause the graphical data display to be dynamically updated in response to the indication.

2. The data management system of claim 1 wherein the system comprises a plurality of computers, wherein each of the plurality of computers utilizes an operating system comprising one of UNIX, LINUX, WindowsOS, MacOS, or Solaris.

3. The data manaaement system of claim 2 wherein one of the plurality of computers utilizes a LINUX operating system and a second of the plurality of computers utilizes a Windows operating system and a third of the plurality of computers utilizes a Solaris operating system.

4. The data management system of claim 3 wherein the processor and user interface are distributed among at least the first, second and third computers.

5. The data management system of claim 1 wherein the indication that one of the at least one data point for the first analysis and the at least one data point for the second analysis are to be excluded from the first derived data and the second derived data, is based at least in part on the relative value of the at least one data point to be excluded in comparison to a threshold level.

6. The data management system of the claim 5 wherein the threshold level is variable.

7. The data management system of claim 1 wherein the indication that one of the at least one data point for the first analysis and the at least one data point for the second analysis are to be excluded from the first derived data and the second derived data, is based at least in part on a data fit analysis.

8. The data management system of claim 1 further comprising additional data points based on additional analyses and additional derived data points based on the additional data points.

9. The data management system of claim 8 wherein each analysis in the plurality of analyses comprises a data point corresponding to at least two or more of a composition'"'"'s structure;

a composition'"'"'s biological activity;

a composition'"'"'s analytical data;

a composition'"'"'s identification number;

or a composition'"'"'s physical location.

10. The data management system of claim 1 wherein the display comprises a visual indication of an excluded data point.

11. The data management system of claim 1 wherein the system meets internet standards.

12. The data management system of claim 1 wherein the interface and display comprise a graphical user interface.

13. The data management system of claim 1 wherein the interface and display comprise a tool command line.

14. The data management system of claim 1 further comprising a first calculated data point calculated from the first derived data point and a second calculated data point calculated from the second derived data point wherein the excluded data point comprises a derived data point.

15. The data management system of claim 14 wherein the display comprises:

first tabular data, second tabular data, first graphical data and second graphical data corresponding to first and second calculated data points.