Thumbnails:
List:
Year:
Category:
Session:
Poster:
Getting poster data...
Ann S. Blevins, Danielle Callan, John Brestelli, Jay Humphrey, Dave Falke, Jeremy Myers, Elizabeth Harper, Ryan Doherty, Dan Beiting (3800 Spruce Street - Philadelphia, PA 19104)
The scale and complexity of microbiome datasets present a challenge for researchers less familiar with computational analysis techniques. MicrobiomeDB.org addresses this challenge by offering users free, online analysis and visualization tools that we designed specifically for microbiome data. Scientists can use these tools to investigate our large public datasets or explore their own data. With MicrobiomeDB, researchers can visualize standard features of microbiome data analysis such as alpha diversity, beta diversity, and differential abundance. In addition, researchers can visualize correlations between microbes and metabolites or sample metadata with a bipartite network. We constructed our visualizations with a combination of Plotly-React, Visx, R, and Java, which provide excellent performance even with large datasets. Moving forward, we plan to expand the types of plots we offer as well as improve functionality of our existing plots with new interactive features and statistics tables. By continuing to bring quality data visualization into the hands of scientists, we hope that MicrobiomeDB will be a helpful resource for students and researchers alike.