Performs graph classification and regression by machine learning algorithms. Graphkernels is a package in R and Python with efficient C++ implementations of various graph kernels including the following prominent kernel families: (1) simple kernels between vertex and/or edge label histograms, (2) graphlet kernels, (3) random walk kernels, and (4) the Weisfeiler-Lehman graph kernel.
Allows experimental design in systems biology. PEITH(Θ) is a general purpose interface that implements algorithms for all three described scenarios: (1) reduction of the uncertainty of the model parameters, (2) a subset of the parameters and (3) prediction of the outcome on an intervention. The software allows users to define a variety of potential experiments from varying the time points to different initial conditions.
Offers a language-agnostic binary manager. Conda permits users to make environments first-class citizens and to create independent environments even for C libraries. It constructs space efficient environments by employing hard links.
Allows users to construct multiple virtual python environments. Virtualenv produces environments which are separated from the original one, enabling the use of software with specific requirements. It offers functionalities for facilitating the installation and the removing of the generated environments and also includes an experimental option which make them relocatable.
Represents a channel for the conda package, more particularly for the bioinformatics softwares. BioConda is a build system that turns recipes into conda packages. It consists of a repository of recipes hosted on the github website. This repository contains more than 2700 packages. The packages stored on the platform can be separated, thanks to separate repositories or channels.