Bioscience

Pharmaceutical companies, biotechnology firms, and research institutions who are actively involved in genomics, proteomics, molecular modeling and simulation are producing massive datasets that are growing exponentially. This explosion in genomic and proteomic information and emergence of data-intensive molecular diagnostic techniques demand a scalable, high performance storage infrastructure.

Panasas Storage provides scalable bandwidth and random I/O to accelerate throughput for the most demanding life sciences applications. Scalable capacity ensures that multiple versions of genomic databases can be maintained and quickly made available across a workflow for computational chemistry, bioinformatics, and other data-intensive applications. Large datasets, such as micro array or mass spectrometry images, are effectively managed within a single scalable namespace and shared among researchers to streamline collaboration.

Proven at the world’s leading bioscience organizations::

  • Boehringer Ingelheim
  • The European Molecular Biology Laboratory (EMBL) - European Bioinformatics Institute (EBI)
  • The National Center for Biotechnology Information (NCBI)
    A division of the National Library of Medicine (NLM) at the National Institutes of Health (NIH)
  • Novartis
  • The Rockefeller University - Gaasterland Laboratory of Computational Genomics
  • University of California: Berkeley - Center for Integrative Genomics
  • University of California: Santa Cruz - Center for Biomolecular Sciences and Engineering
  • University of California: San Francisco - Sali Laboratory
 
Resources
White Paper: Curing Life Sciences Data Management Challenges with Scalable Storage
White Paper: Private research cloud services - managing the life sciences data tsunami
Gaasterland Laboratory Success Story
UC Berkeley Success Story
UC San Francisco Success Story
UC Santa Cruz Success Story

"The system is blazing fast, we have been able to eliminate our I/O bottleneck so researchers can analyze data more quickly. The product is plug-and-play at all levels. Our team does not have to think about it at all. We can just do our work."
Dr. Terry Gaasterland, Rockefeller University, Gaasterland Laboratory of Computational Genomics