Topic: Computational Advances in Microbiome Research (CAMR)
Meeting dates: July 27-28, 2015
Location: NIMBioS at the University of Tennessee, Knoxville
Jill Banfield, Earth and Planetary Science and Environmental Science, Policy and Management, Univ. of California, Berkeley
Curtis Huttenhower, Biostatistics (Computational Biology and Bioinformatics), School of Public Health, Harvard Univ.
Objectives: Recent years have seen a tremendous upswing in microbial community research, ranging from studies of the human microbiome to investigations of biogeochemical cycling in global soil and oceans and coral mucus ecosystems. This has been triggered in large part by the decreasing cost, increasing ubiquity, and democratization of analysis methods for high-throughput sequencing, which has made both amplification-based and shotgun metagenomic profiling of microbial communities accessible to diverse research fields. Microbial community studies have a long history derived from a variety of research areas, however, including ecology, soil and ocean biochemistry, human and environmental toxicology, air quality and environmental monitoring, agriculture, and biodefense. As the methods necessary for modern data analysis have become more complex, new computational approaches have developed independently in many of these subfields, but there have been few opportunities to integrate knowledge and bioinformatic techniques across microbial community research areas.
The overarching goal of this workshop was to bring together and integrate novel bioinformatic techniques from diverse areas of microbial community research. This allowed us more specifically to:
The workshop was designed as a small, focused workshop bringing together the top thought leaders in computational microbial community analysis techniques from a variety of biological application areas in order to foster new ideas, accelerate the pace of biological discovery by disseminating current techniques across fields, provide a starting point for new collaborations, and identify gaps that might be targeted by future funding opportunities.
Playlist of online videos of selected workshop presentations.
Video link to special presentation by Matt Kane (Program Director, Division of Environmental Biology, NSF): Funding Opportunities in Biology at the National Science Foundation, Jul 28, 2015.
Iwai et al. 2016. Piphillin: Improved Prediction of Metagenomic Content by Direct Inference from Human Microbiomes. PLoS ONE, 11(11): e0166104. [Online]
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