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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

Functional Genomics

The Exemplar Analytics Suite additionally contains a Gene Ontology Module providing a high level view of genetic effects within a cell. The program works with Exemplar to identify the common biological process(es) abrogated in the studied affectation.

The GO Module maps the genetic markers (SNPs) modeled by Exemplar back to the genome and collects information about genes that are associated with those markers. While there may be many different genes responsible for an affectation, and while each gene might produce the affectation, it is likely that all the different genes participate in some common biological process(es)

By viewing the studied affectation at the level of the biological process, scientists can then target all the genes in that process for further investigation. The functional networks of ontological information constructed by the GO Module provide a good visual guide to identify common biological processes.

If the SNP-associated genes and gene products have been characterized by the Gene Ontology Consortium (GOC), then that information is used by the software to construct functional networks. The GO Module automatically generates graphics for each of the top three Gene Ontology Consortium (GOC) categories (Biological Process, Cellular Component, and Molecular Function). Genes from modeled SNP's are placed into their GOC assigned category and the entire hierarchy of ontologies above the modeled category is displayed by the module. The intersection point of modeled categories is a visual indication of the underlying biological process(es) that is disrupted in the affected condition.