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IBM Spectrum Scale Best Practices for Genomics Medicine Workloads
book

IBM Spectrum Scale Best Practices for Genomics Medicine Workloads

by Joanna Wong, Kevin Gildea, Kumaran Rajaram, Luis Bolinches, Monica Lemay, Piyush Chaudhary, Sandeep R. Patil, Ulf Troppens
April 2018
Intermediate to advanced content levelIntermediate to advanced
64 pages
2h 3m
English
IBM Redbooks
Content preview from IBM Spectrum Scale Best Practices for Genomics Medicine Workloads
Preface
Advancing the science of medicine by targeting a disease more precisely with treatment specific to each patient relies on access to that patient’s genomics information and the ability to process massive amounts of genomics data quickly. Although genomics data is becoming a critical source for precision medicine, it is expected to create an expanding data ecosystem.
Therefore, hospitals, genome centers, medical research centers, and other clinical institutes need to explore new methods of storing, accessing, securing, managing, sharing, and analyzing significant amounts of data. Healthcare and life sciences organizations that are running data-intensive genomics workloads on an IT infrastructure that lacks scalability, flexibility, performance, ...
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Publisher Resources

ISBN: 9780738456751Other