The International Conference for High Performance Computing, Networking, Storage, and Analysis
The International Conference for High Performance Computing, Networking, Storage, and Analysis
Student: Haley Leffler (Indiana University)
Supervisor: Winona Snapp-Childs (Indiana University)
Abstract: Metagenomes consist of the total genome content collected from an environmental sample containing bacterial, archaeal, and viral sequences present. These datasets are complex and can be overwhelming to visualize. Using multiple visualization methods benefits researchers by allowing them to perform exploratory analyses that could aid in downstream analysis of the data. This paper focuses on using different visualization methods including a rarefaction curve, ordination plots, alluvial plot and heatmap to represent a metagenomic dataset using Jetstream. Applying the visualization methods on a hydrocarbon seepage metagenomic dataset, we found that the samples cluster based on location, one sample was similar to both reference and seep samples, and the datasets had human contamination. These findings can now lead to potential downstream analysis questions to further assess this data. The scripts and input files used to create the different visualizations are available on GitHub.
ACM-SRC Semi-Finalist: no
Poster: PDF
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