A Python Toolkit for Managing a Large Number of Experiments
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Updated
Feb 9, 2024 - Python
A Python Toolkit for Managing a Large Number of Experiments
R package to work on the RuG Peregrine cluster
This is a 16S amplicon analysis for visualizing microbiome data using QIIME, QIIME2R and Phyloseq. DNA was isolated fom both sediment cores and seabird fecal samples for this analysis.
This is a paleolimnological analysis using tidypaleo in R. View the Github page to walk through each step of the analysis.
Monitoring parallel file system usage in a high-performance computer cluster
Application for monitoring performance and energy consumption in a computing cluster.
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