Easy, accurate classification of the taxonomy of microbial eukaryotes in the environment is a persistent challenge. For metagenomic and metatranscriptomic data, annotation is imperfect, because genomic references for organisms isolated from the environment are lacking. By leveraging experimental transcriptomic references, we have designed a tool to estimate the taxonomy of marine microbial eukaryotes. The tool is a flexible and modular way to leverage the expanding amount of omics data on environmentally-isolated microbial eukaryotes in order to better annotate multi-organism omics datasets (meta-omics).
I recently found myself setting up a new computer, spinning up ~23864283.34 new projects in R, and wanting to stay somewhat organized in the process. After doing some digging, I decided to give Anaconda environments a try to have the ability to run different versions of R and do this across R on the command line, RStudio, and jupyter notebooks (IRKernel). I have decided to share my process.
Installing Anaconda First, let’s make sure Anaconda is installed.