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Flow Cytometry Shared Resource

Flow Cytometry Shared Resource . Bioinformatics Improvements/ Bluearc Storage. In the beginning…. Early steps to save the data. Archived years of data off instrument workstations Received permission to “cyber-squat” on Crowe’s personal lab server for a few years

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Flow Cytometry Shared Resource

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  1. Flow Cytometry Shared Resource Bioinformatics Improvements/Bluearc Storage

  2. In the beginning…

  3. Early steps to save the data • Archived years of data off instrument workstations • Received permission to “cyber-squat” on Crowe’s personal lab server for a few years • Daily to weekly archiving procedure to store condensed, archive formatted data • More of an emergency measure, not meant to be a real solution • Poor model for customer satisfaction, lab workflow

  4. May 2009 VICC Review • Bioinformatics identified as a weakness • Instructed to work with the VICC Bioinformatics Core (Masys) • No financial support = no progress • We did not have the money to do this ourselves at the time

  5. March 2011 • Crowe server ending it’s usable life span • Bluearcspace became available • Data transferred to Bluearc, external drives • Still no automation, no easy user access

  6. August 2011 • Office of Research internal funding opportunity • We proposed to develop a better bioinformatics program for our Core-accepted! • Scott Sobecki, Bioinformatics Core • Developed software to “sniff out” new data, upload to server • Developed Web Portal for user access to data • Programmers kept getting recruited away from the project

  7. Current Bioinformatics Model

  8. Web Portal

  9. Web Portal

  10. Web Portal

  11. Entering a PI

  12. Entering a User to a PI

  13. Access Control • PI’s can see the data from anyone “under” them • Users can only see their own data

  14. Future Challenges • How well is it really working? • Only works with some internet browsers currently • The good old Mac vs. PC issue is alive and well(even on intel macs) • How long do we keep the data?

  15. Thanks • To the Office of Research for their support • The Bioinformatics Core (Scott and Programmers) • Matt Cox for implementation as well • Our users for their patience • My staff for all the hard work

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