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Enhancing Bioinformatics: Journey from Data Archiving to User-Friendly Access

This document outlines the initial steps taken to improve bioinformatics data management within our lab. After years of archiving data off instrument workstations and using Crowe's personal lab server, we recognized the need for a better system. Despite challenges such as limited funding and the end of our server's usability, we transitioned to Bluearc storage and developed software to streamline data uploads. Our innovative web portal allows users to access their data, though issues remain regarding compatibility and future data retention. We thank our supporters for their encouragement and patience.

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Enhancing Bioinformatics: Journey from Data Archiving to User-Friendly Access

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Presentation Transcript

  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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