Clarity Genomics uses advanced algorithms and machine learning to analyze host-microbiome data and provide valuable interpretations for clinical research. We work closely with our clients to offer biological insights that empower development of new microbiome products and therapies. Partnerships with leading research institutions ensure that your project receives relevant information utilizing technologies and techniques on the forefront of innovation.
Clarity Genomics leverages cloud computing and access to world-class bioinformatic analysis methods and data banks, such as the American Gut Project, to provide interpretation for host-microbiome clinical data.
The goal of human microbiome research is to understand how human microbiota communicate with their host and factors that influence these interactions in health and disease. An imbalance in human microbiome structure or metabolic activity has been observed in many diseases including inflammatory bowel disease, irritable bowel syndrome, type 2 diabetes, obesity, and cancer. Moreover, host genetic variation can influence microbiome composition and provide valuable information on therapeutics response. Integrative analysis of multiple data types (proteins, genes, metabolites, biomarkers, clinical metadata, etc.) can provide high-resolution understanding of mechanisms governing host-microbiome interactions under different conditions.