American Society for Microbiology
Program and Abstract for 2015 Annual Meeting.
2015 ASM Florida Branch Meeting
This meeting of the Florida Branch of ASM took place from October 9 – 11
2015 at the Cocoa Beach Hilton resort in Cocoa Beach, FL.
Our Keynote speakers were:
Dr. Michael Federle
of the University of Illinois at Chicago who spoke on “Microbial Wikileaks: Deciphering Microbial Conversations as an Approach to Disarm”
Dr. Jeffrey Smith
of the NASA Ames Research Center who spoke on “NASA Space Biology and the International Space Station Microbial Observatory”
Speakers and presenters
Giorgio Casaburi and Hoang Nguyen
Jeff Smith and Almad Qasem
Julie Torruellas Garcia
Prassanna Rao and Rohit Kadam
Safranek Award Winner Gabby Barbarite
The organizers would like to thank the Florida Space Grant Consortium for helping to support the student poster session.
We would like to congratulate the following students for their outstanding presentations:
Adrienne Showman, University of Central Florida - Undergraduate Poster Award – First Place
Kripa Ahuja, University of Central Florida - Undergraduate Poster Award – Second Place
Joseph Perez, St. Petersburg College – Undergraduate Poster Award – Honorable Mention
Natalie Damaso, Florida International University, Graduate Poster Presentation – First Place
Christopher Grube, University of Central Florida – Graduate Poster Award – Second Place
Joany Babilonia, University of Florida – Graduate Poster Award – Honorable Mention
Philip Adams, University of Central Florida – Oral Presentation – First Place
Qingxuan Zhou, Florida International University - Oral Presentation – Second Place
Christopher Parrett, University of Central Florida - Oral Presentation – Honorable Mention
Gabby Barbarite – 2015 William Safraneck Award – Best Presentation
FLASM members had a chance to participate in our QIIME workshop, which was taught
by Dr. Giorgio Casaburi.
What is QIIME? ...
QIIME is an open-source bioinformatics pipeline for performing microbiome analysis from raw DNA sequencing data. QIIME is designed to take users from raw sequencing data generated on the Illumina or other platforms through publication quality graphics and statistics. QIIME has been applied to studies based on billions of sequences from tens of thousands of samples.
For more information visit: http://qiime.org