Our bioinformatics team analyzes the gene and/or polymorphism of interest and designs assays to specifically discriminate against homologues, pseudogenes, and other genes. We use a matrix approach to determine the optimal reaction parameters. Our assays are reviewed by a certified bioinformatist prior to release into the testing phase. Gentris has designed difficult assays such as cytochrome P450s, some of which have gene deletions and gene conversions within the same gene.
Gentris is able to design an assay for a client or review the clients assay. Our team keeps current on the literature as well as the updates to the public databases to ensure that the most up-to-date information is used in assay design.
Gentris’ bioinformatics team can analyze client datasets after testing is complete to search for specific associations. These types of analyses have been conducted on both gene expression and DMET data at Gentris. Utilizing standard and customized software, our team also has the ability to work with complex datasets, examining multiple dimensions of tumor profiles.