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  • In the News
  • Sapio Sciences Announces Exemplar LIMS v2.4.0, Extending its Flexibility and Functional Leadership. Read Article.
  • Sapio Sciences Announces the Sapio Synergy Program. Read Article
  • Dr. Claire Frazer’s lab at the Institute for Genome Sciences at UMAB Medical Center has licensed Exemplar LIMS Read Article.
  • ExonHit Selects Exemplar LIMS. Read Article
  • Childrens Hospital of Pennsylvania Selects Exemplar LIMS. Read Article
  • Sapio Sciences Announces Exemplar LIMS Version 2 Read Article

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.

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