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DTSTAMP:20181221T160903Z
LOCATION:C2/3/4 Ballroom
DTSTART;TZID=America/Chicago:20181115T083000
DTEND;TZID=America/Chicago:20181115T170000
UID:submissions.supercomputing.org_SC18_sess324_post214@linklings.com
SUMMARY:Enabling Reproducible Microbiome Science through Decentralized Pro
 venance Tracking in QIIME 2
DESCRIPTION:Poster\nTech Program Reg Pass, Exhibits Reg Pass\n\nEnabling R
 eproducible Microbiome Science through Decentralized Provenance Tracking i
 n QIIME 2\n\nNaimey, Keefe\n\nIn this poster, we demonstrate the ways in w
 hich automatic, integrated, decentralized provenance tracking in QIIME 2, 
 a leading microbiome bioinformatics platform, enables reproducible microbi
 ome science. We use sample data from a recent study of arid soil microbiom
 es  (Significant Impacts of Increasing Aridity on the Arid Soil Microbiome
 ; Neilson et al, 2017), to illustrate specific analyses that QIIME 2 suppo
 rts, and to frame our discussion of the QIIME 2 platform.\n\nQIIME 2 actio
 ns yield as outputs artifacts integrating the requested data or visualizat
 ion with comprehensive data provenance that describes the computational hi
 story of that data or visualization, including all methods and parameters 
 involved in its creation. This approach gives users, reviewers, and reader
 s powerful tools for understanding, reproducing, and extending studies. Th
 e benefits this approach provides to both the researcher and the scientifi
 c community are significant and provide a useful model for research softwa
 re developers across disciplines.
URL:https://sc18.supercomputing.org/presentation/?id=post214&sess=sess324
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