Invention Application
- Patent Title: Detection of High Variability Regions Between Protein Sequence Sets Representing a Binary Phenotype
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Application No.: US15128405Application Date: 2015-03-18
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Publication No.: US20170177788A1Publication Date: 2017-06-22
- Inventor: Karen Anderson , Immanuel Purushothaman
- Applicant: ARIZONA BOARD OF REGENTS ON BEHALF OF ARIZONA STATE UNIVERSITY
- Applicant Address: US AZ Scottsdale
- Assignee: Arizona Board of Regents on behalf of Arizona Stat e University
- Current Assignee: Arizona Board of Regents on behalf of Arizona Stat e University
- Current Assignee Address: US AZ Scottsdale
- International Application: PCT/US15/21262 WO 20150318
- Main IPC: G06F19/22
- IPC: G06F19/22 ; G06F17/30 ; G06F19/28

Abstract:
A computer-based bioinformatics method for identifying protein sequence differences between sets of sequences grouped into different phenotype data sets that involves querying a database to identify common sequence motifs within a first phenotype data set and another phenotype data set of protein sequences, computing a pairwise correlation among motifs for each data set, and computing the variation between the data sets to identify one or more motifs that are conserved in a given data set and thus correlate with that data set's phenotype.
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