NGS Bioinformatics Meeting Planned for October 24, 2012

NGS is fast becoming the high-throughput technology of choice.  Join us on Tuesday, October 24, 2012 for a half-day meeting entitled “Versatile Solutions for NGS at USC” sponsored by the Vice President of Research, Dr. Randolph Hall, and presented by the Norris Medical Library Bioinformatics Service.   Learn about USC services, software and bioinformatics tools for analyzing NGS data and guidelines and tips for taking advantage of NGS technology.  Pre-meeting coffee and lunch will be provided.

Date:  Wednesday, October 24, 2012.

Location:  Aresty Auditorium, Harlyne J. Norris Research Tower, USC Health Sciences Campus.


Morning Coffee:  8:30 a.m.

Presentations:  9:00 a.m. – 12:30 p.m.

  • “Next-Generation Sequencing at USC”
    Dr. Charles Nicolet, Director of Sequencing Technology,
    USC Epigenome Center Data Production Facility
  • “Successful NGS Experiments with the Norris Cancer Center Bioinformatics Core”
    Dr. Vasu Punj, Lead Bioinformatician and Associate Research Professor,
    Bioinformatics Core, Norris Cancer Center
  • “How can biostatistics expertise at CTST and SCRC optimize your study design and analysis and avoid common pitfalls?”
    Dr. Wendy Mack, Director of Biostatistics and Bioinformatics Resources, CTSI;
    Prof. Preventive Medicine
    Christopher Edlund, Statistical Genetics and Bioinformatics Analyst, Statistical Consultation and Research Center (SCRC)
  • “Genetrix for NGS data analysis”
    Dr. Jonathan Buckley, Director of Bioinformatics,
    Epigenome Center/Department of Preventive Medicine
  • “Software tools and computing resources at NML for NGS data analysis”
    Ms. Meng Li, Bioinformatics specialist,
    Bioinformatics Service, Norris Medical Library

Lunch:  12:30 p.m. – 1:00 p.m.

Registration is required.  Please complete the registration form.


Yi-Bu Chen and Meng Li, NML Bioinformatics Service

Bill Clintworth, Associate Dean and Director, USC Health Science Libraries

Please contact Yibu Chen and Meng Li, Bioinformatics Service Program, Norris Medical Library University of Southern California for further information.

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