Fluidigm and Genomenon to Offer Evidence-Based Genomic Panel Design Service
The rapidly expanding knowledge base of genes and variants associated with human diseases is essential to delivering on the promise of precision medicine. However, harnessing the most up-to-date genetic and genomic information for the development of assays to answer critical research questions in health and disease is an ongoing challenge. The Genomenon® Mastermind® Panel Design Service is designed to meet this challenge by identifying disease-specific biomarkers for researchers using its proprietary Mastermind genomic search database and automated machine learning algorithms. The Genomenon team then curates the biomarkers based on the strength and quality of the scientific evidence found in the literature and delivers a set of prioritized candidates to researchers to aid in panel design.
Through the Fluidigm-Genomenon joint panel design services offering, researchers will be able to accelerate the design of disease-specific next-generation sequencing (NGS), genotyping, and real-time PCR panels for use with highly efficient Fluidigm® automated microfluidic systems. Significantly shortening the most time-consuming part of this process, manual target selection, Genomenon’s Panel Design Service can reduce the time of target identification from up to one year to just a few weeks. When combined with proven Fluidigm D3™ design services for panel assay design, researchers can more efficiently develop scientifically robust genomic panels to meet the dynamic demands of translational and clinical disease research.
“Starting with any target set of diseases,
“We are very excited to announce our relationship with Genomenon to accelerate the design of high-value disease-specific panels both for our customers and in our own internal assay design pipeline,” said
Genomenon connects patient genomic data with evidence from the scientific literature to diagnose and deliver better patient outcomes. Its web-based Mastermind Genomic Search Engine has indexed the scientific evidence from millions of medical articles, cataloguing the genetic relationships between DNA and human diseases, including cancer.
Genomenon’s biomarker selection algorithms use data from its Mastermind Genomic Database to find relevant gene- and variant-specific therapeutic, prognostic, and diagnostic information in the literature, accompanied by literature citations for each association. This data empowers customers to make fully informed, evidence-based decisions on which targets to include in their final NGS panel in significantly less time than other methods.
For more information, visit www.genomenon.com.
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Source: Fluidigm Corporation