Single linkage clustering and connected component analyses are often performed on biological images. 'Bioi' provides a set of functions for performing these tasks. This functionality is implemented in several key functions that can extend to from 1 to many dimensions. The single linkage clustering method implemented here can be used on n-dimensional data sets, while connected component analyses are limited to 3 or fewer dimensions.

Tools for 3D imaging, mostly for biology/microscopy. 
    Read and write TIFF stacks. Functions for segmentation, filtering and analyzing 3D point patterns.

Functions for modelling microbial inactivation under
    isothermal or dynamic conditions. The calculations are based on several mathematical models broadly
    used by the scientific community and industry. Functions enable to make predictions for cases where the
    kinetic parameters are known. It also implements functions for parameter estimation for isothermal and
    dynamic conditions. The model fitting capabilities include an Adaptive Monte Carlo method for a Bayesian
    approach to parameter estimation.

Supports the standardized analysis of Mediterranean 
    International Bottom Trawl Survey (MEDITS) data and the calculation 
    of biological indicators for selected species and population 
    components. The package provides functions to estimate abundance 
    and biomass indices, analyse size structure and length frequency 
    distributions, derive sex ratio and maturity related metrics, 
    explore spatial patterns, and assess temporal trends across 
    surveys. Developed for integration within the Regional Database 
    for Fisheries (RDBFIS) framework, it is intended to work on 
    quality checked input data and to produce reproducible outputs 
    that can support monitoring, comparative analyses among 
    Geographical Sub-Areas (GSAs) and countries, and fishery management.

Analyze and plot the abundance of different RNA biotypes present in a count matrix, this evaluation can be useful if you want to test different strategies of normalization or analyze a particular biotype in a differential gene expression analysis.