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Streamlining the Next-Generation of Genomic Sequencing - Saving Time and Saving Lives

Quanam Case Study

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Founded in Uruguay in 1978, Quanam is a multi-Latin federation of firms specializing in consulting and management, professional services, communication and change management. Priding itself on innovation and knowledge, Quanam’s broad range of clients vary from banking and government agencies to financial institutions and even genetic laboratories.

  • Reduced DNA sequencing time from days to hours
  • Pathogenic mutations can be detected in much shorter timeframes
  • Process of diagnosis shortened from an average of 5 years down to eight/ten weeks
  • Created a model which allows clinicians to make more informed decision as more diagnoses are made

Challenge

Quanam, partnering with GenLives, had the goal of allowing clinicians to make more accurate diagnoses in shorter timeframes. Quanam needed a way to isolate the information responsible for causing pathogenic conditions. Geneticists also had to sift through millions of existing academic papers manually, trying to identify these conditions.

Solution

For this goal to become a reality, Quanam needed a big data platform that could withstand demanding storage and computing requirements to process multiple complex algorithms. With HDP, the company could analyze and store large volumes of data, and offered a foundation on which machine learning algorithms could be run.

Results

Clinical geneticists can now make more informed decisions on the dangers of genome variants. DNA sequencing now takes a matter of hours, rather than an entire day. This results in a faster diagnosis, from an average of 5 years, down to 8-10 weeks.

Fernando Lopez

Business Analytics - Big Data, Quanam

We’re convinced Hortonworks is a great option, especially in providing a proven infrastructure for both data at rest and data in motion.