Salt Lake City, UT (PRWEB) October 31, 2013
Tute Genomics made their public debut last week at the 2013 American Society for Human Genetics (ASHG) conference in Boston, MA. Tute, founded in 2012, is a cloud-based, professional grade clinical genome interpretation engine that has the ability to analyze and annotate entire human genomes in a rapid and cost-effective way, faster than any other platform. Tute Genomics helps researchers and laboratories identify and prioritize disease variants to aid in the genetic diagnosis of human diseases and target treatments based on an individual’s ability to respond to therapies.
Tute was co-founded by Kai Wang, PhD of the University of Southern California and Reid Robison, MD MBA of the University of Utah and Utah Foundation for Biomedical Research. Dr. Wang is a renowned computational biologist and creator of ANNOVAR, one of the most widely used tools for whole genome analysis. Dr. Robison is a physician and geneticist, turned data scientist, and co-founder of Anolinx, a healthcare data analytics firm that was acquired in 2012.
Tute’s technology was developed upon the basis of Dr. Wang’s expertise in human genome annotation and disease gene finding. Recognizing the need for an application that can streamline the analysis process, Tute created a secure, cloud-based pipeline inclusive of over 60 different annotations to provide a thorough and rapid analysis of whole genomes and exomes, resulting in substantial time savings, and more thorough and accurate information for anyone who interacts with genomic data. The goal: interpret data faster for clinically relevant findings in an effort to make “precision medicine” a reality.
The timing of Tute’s launch couldn’t be better. The cost of genome sequencing is dropping rapidly and we are in the middle of a genomics revolution that is poised to transform medicine. Tute Genomics is opening a new door for personalized medicine with cloud-based software that allows researchers & healthcare organizations to analyze entire human genomes for health and biomedical discovery. There is an urgent need for tools to analyze the massive influx of “big genomic data” that is resulting from increased use of next-generation sequencing in healthcare and in research labs not only nationwide, but around the globe.