r-bioc-rcwl
An R interface to the Common Workflow Language
The Common Workflow Language (CWL) is an open standard for development
of data analysis workflows that is portable and scalable across
different tools and working environments. Rcwl provides a simple way to
wrap command line tools and build CWL data analysis pipelines
programmatically within R. It increases the ease of usage, development,
and maintenance of CWL pipelines.
signify-openbsd-keys
Public keys for use with signify-openbsd
This package contains some common public keys which can be
used to verify software with signify-openbsd. At present, all
of the OpenBSD keys from version 5.5 onwards are included.
r-bioc-s4arrays
foundation of array-like containers in Bioconductor
The S4Arrays package defines the Array virtual class to be
extended by other S4 classes that wish to implement a container
with an array-like semantic. It also provides: (1) low-level
functionality meant to help the developer of such container to
implement basic operations like display, subsetting, or coercion
of their array-like objects to an ordinary matrix or array, and
(2) a framework that facilitates block processing of array-like
objects (typically on-disk objects).
r-bioc-xvector
BioConductor representation and manpulation of external sequences
This BioConductor package provides memory efficient S4 classes for storing
sequences "externally" (behind an R external pointer, or on disk).
r-bioc-rhdf5
BioConductor HDF5 interface to R
This package provides an interface between HDF5 and R.
HDF5's main features are the ability to store and access very large and/or
complex datasets and a wide variety of metadata on mass storage (disk)
through a completely portable file format. The rhdf5 package is thus suited
for the exchange of large and/or complex datasets between R and other
software package, and for letting R applications work on datasets that are
larger than the available RAM.
python3-dm-tree
library for working with nested data structures (Python3 version)
A library for working with nested data structures. In a way, tree generalizes
the builtin map function which only supports flat sequences, and allows one to
apply a function to each "leaf" preserving the overall structure.