intel-ocloc-legacy
Tool for managing Intel Compute GPU device binary format -- legacy platforms
ocloc is a tool for managing Intel Compute GPU device binary format.
It can be used for generation as well as manipulation of such binary files.
libsemanage2
SELinux policy management library
This package provides the shared libraries for SELinux policy management.
It uses libsepol for binary policy manipulation and libselinux for
interacting with the SELinux system. It also exec's helper programs
for loading policy and for checking whether the file_contexts
configuration is valid (load_policy and setfiles from
policycoreutils) presently, although this may change at least for the
bootstrapping case
libkexiv2qt6-0
Qt like interface for the libexiv2 library
Libkexiv2 is a Qt wrapper around the Exiv2 library, used to manipulate
pictures metadata.
sideretro
pipeline for detecting Somatic Insertion of DE novo RETROcopies
sideRETRO is a bioinformatics tool designed for the detection of somatic
retrocopy insertions, also known as retroCNVs, in whole genome sequencing
(WGS) and whole exome sequencing (WES) data.
r-cran-spatstat.univar
One-Dimensional Probability Distribution Support for the 'spatstat' Family
Estimation of one-dimensional probability distributions
including kernel density estimation, weighted empirical cumulative
distribution functions, Kaplan-Meier and reduced-sample estimators
for right-censored data, heat kernels, kernel properties,
quantiles and integration.
r-cran-gap
Genetic Analysis Package
As first reported [Zhao, J. H. 2007. "gap: Genetic Analysis Package". J
Stat Soft 23(8):1-18. <doi:10.18637/jss.v023.i08>], it is designed as an
integrated package for genetic data analysis of both population and
family data. Currently, it contains functions for sample size
calculations of both population-based and family-based designs,
probability of familial disease aggregation, kinship calculation,
statistics in linkage analysis, and association analysis involving
genetic markers including haplotype analysis with or without
environmental covariates. Over years, the package has been developed in-
between many projects hence also in line with the name (gap).