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DTSTART:19700308T020000
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DTSTAMP:20210402T160550Z
LOCATION:Poster Module
DTSTART;TZID=America/New_York:20201119T083000
DTEND;TZID=America/New_York:20201119T170000
UID:submissions.supercomputing.org_SC20_sess341_spostu101@linklings.com
SUMMARY:Visualizing Metagenomic Data in R Using Jetstream
DESCRIPTION:ACM Student Research Competition: Graduate Poster, ACM Student
  Research Competition: Undergraduate Poster, Posters\n\nVisualizing Metage
 nomic Data in R Using Jetstream\n\nLeffler\n\nMetagenomes consist of the t
 otal genome content collected from an environmental sample containing bact
 erial, archaeal, and viral sequences present. These datasets are complex a
 nd 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 me
 tagenomic dataset, we found that the samples cluster based on location, on
 e sample was similar to both reference and seep samples, and the datasets 
 had human contamination. These findings can now lead to potential downstre
 am analysis questions to further assess this data. The scripts and input f
 iles used to create the different visualizations are available on GitHub.\
 n\nTag: Student Program\n\nRegistration Category: Tech Program Reg Pass, E
 xhibits Reg Pass
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