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.