Harnessing the Power of Scientific Python to Investigate the Biogeochemistry of the Central Pacific Ocean

The Central Pacific Ocean is a looking glass into both the past and future ocean. The recent ProteOMZ expedition provides >6 million datapoints on the distribution of microbial proteins in this region, coupled with >6000 chemical and physical measurements. We demonstrate our approach to analysis of this multivariate data using the Pandas, Scikit-learn, Biopython, Bokeh, and METATRYP Python tools. We found interactivity to be key in human lead pattern discovery. We discuss challenges and solutions to piecing together multiple data types and Python tools, and discuss our experience as scientists learning to apply Python packages in our research.

Noelle  HeldSpeaker: Noelle Held, Woods Hole Oceanographic Institution/Massachusetts Institute of Technology
Jaclyn	  SaundersSpeaker: Jaclyn Saunders, Woods Hole Oceanographic Institution
 Speaker: Joe Futrelle, Woods Hole Oceanographic Institution
 Speaker: Mak Saito, Woods Hole Oceanographic Institution