Explore BiGG Data projects listed below offer research training in analysis of big data to fully understand ramifications of microbiomes, metabolomes, and genetics of One Health systems. By the end of the REEU, Fellows will have performed multiple bioinformatics tasks to answer One Health questions including, but not limited to, quality control/filtering, sequence alignment/assembly, protein and coding analysis, and basic statistics. Students will also receive training in communicating research in these complex systems to the other scientists and the general public.
2021 Research Opportunities
Project:
Students will work with plant associated microbial community data to characterize the unique archaeal, bacterial, and fungal communities associated with different plant species and how variation in abiotic and biotic factors alter these plant-microbe interactions.
Project:
Students will work with tick microbial community data (different species, life stages, collection events) to identify the unique bacterial communities associated with different vector life histories, including environment, life stage, population structure, host use, and pathogen presence/absence.
