About Us Contact Us
 
      
         

Approach

Haplotype analysis is becoming increasingly important in studying genetic diseases, especially in light of the recent increase in the abundance of high-density SNP data.

Haplotype information can provide valuable insight when researching the role of a group of candidate SNP's or genes in the origins of complex diseases. Exemplar employs the widely accepted method for deducing haplotypes from collections of genotypes in the absense of family data using the statistical method known as the Expectation-Maximization (EM) algorithm.

The EM algorithm is a maximum likelihood algorithm used in assocation-based studies to infer haplotypes from genotypic data and test their association with a phenotype of interest.

Example of Graphical Output for EM Algorithm Results

Exemplar performs haplotype identification within an easily configured experiment and then allows the user to easily walk through the results with the help of an interactive grid intensity display. The grid displays the intensity of the correlation between the SNP's in a user-definable "window" on the chromosome. The data can also be displayed in tabular format and can be filtered in various ways.
The Workflow Driven Lab Workflow Driven Lab
-------------------------------------------
How to Choose a LIMS -
A 5 question RFP
How to Choose a LIMS - A 5 question RFP
-------------------------------------------
LIMS & Illumina LIMS & Illumina
-------------------------------------------
LIMS - Total Cost of Ownership LIMS - Total Cost of Ownership
-------------------------------------------
LIMS & Lab Automation LIMS & Lab Automation
-------------------------------------------
LIMS & Affymetrix LIMS & Affymetrix
   
View All Resources     
 
 
Site Map | Feedback | Have a Rep Contact Me