Functions for assigning 16S sequence data to a
    taxonomic level in the tree-of-life for prokaryotes.

The consensus taxonomy for prokaryotes is a set of data-sets for
    best possible taxonomic classification based on 16S rRNA sequence data.

Stand-alone HTTP capable R-package repository,
    that fully supports R's install.packages() and available.packages().
    It also contains API endpoints for end-users to add/update packages.
    This package can supplement 'miniCRAN', which has functions for maintaining
    a local (partial) copy of 'CRAN'.
    Current version is bare-minimum without any access-control or much security.

Provides utilities for reading and processing microdata from Spanish official statistics with R.

A framework for analyzing broth microdilution assays in various
    96-well plate designs, visualizing results and providing descriptive and (simple)
    inferential statistics (i.e. summary statistics and sign test). The functions are 
    designed to add metadata to 8 x 12 tables of absorption values, creating a tidy
    data frame. Users can choose between clean-up procedures via function 
    parameters (which covers most cases) or user prompts (in cases with complex 
    experimental designs). Users can also choose between two validation methods,
    i.e. exclusion of absorbance values above a certain threshold or manual exclusion 
    of samples. A function for visual inspection of samples with their absorption values
    over time for certain group combinations helps with the decision. In addition,
    the package includes functions to subtract the background absorption (usually
    at time T0) and to calculate the growth performance compared to a baseline.
    Samples can be visually inspected with their absorption values displayed across
    time points for specific group combinations. Core functions of this package (i.e.
    background subtraction, sample validation and statistics) were inspired by the
    manual calculations that were applied in Tewes and Muller (2020)
    <doi:10.1038/s41598-020-67600-7>.