pymatgen-test-files

Python Materials Genomics for materials analysis (test files)

Pymatgen (Python Materials Genomics) is a robust, open-source Python library for materials analysis. These are some of the main features:

python3-easyenergy

client providing energy/gas prices from easyEnergy

This package provides makes it possible to retrieve the dynamic energy/gas prices from easyEnergy.

libnetsvcs-8.0.2

ACE network service implementations - libraries

ACE network services provide reusable components for common distributed system tasks such as logging, naming, locking, and time synchronization.

r-bioc-gsva

Gene Set Variation Analysis for microarray and RNA-seq data

Gene Set Variation Analysis (GSVA) is a non-parametric, unsupervised method for estimating variation of gene set enrichment through the samples of a expression data set. GSVA performs a change in coordinate systems, transforming the data from a gene by sample matrix to a gene- set by sample matrix, thereby allowing the evaluation of pathway enrichment for each sample. This new matrix of GSVA enrichment scores facilitates applying standard analytical methods like functional enrichment, survival analysis, clustering, CNV-pathway analysis or cross- tissue pathway analysis, in a pathway-centric manner.

gcc-11-cross-base-mipsen

GCC, the GNU Compiler Collection (library base package)

This empty package contains changelog and copyright files common to all libraries contained in the GNU Compiler Collection (GCC).

insighttoolkit5-examples

Image processing toolkit for registration and segmentation - examples

ITK is an open-source software toolkit for performing registration and segmentation. Segmentation is the process of identifying and classifying data found in a digitally sampled representation. Typically the sampled representation is an image acquired from such medical instrumentation as CT or MRI scanners. Registration is the task of aligning or developing correspondences between data. For example, in the medical environment, a CT scan may be aligned with a MRI scan in order to combine the information contained in both.