r-bioc-megadepth

BioCOnductor BigWig and BAM related utilities

This package provides an R interface to Megadepth by Christopher Wilks available at https://github.com/ChristopherWilks/megadepth. It is particularly useful for computing the coverage of a set of genomic regions across bigWig or BAM files. With this package, you can build base-pair coverage matrices for regions or annotations of your choice from BigWig files. Megadepth was used to create the raw files provided by https://bioconductor.org/packages/recount3.

megadepth

computes coverage from BigWig and BAM sequencing files

A major concern for the interpretation of DNA and RNA (!) sequencing is the number of reads that cover a particular area. This package has interesting statistics for the distinction of coding and non-coding parts of the genome and knows how to interpret transcripts that span multiple exons.

python3-pyimagetool

Image Tool for multidimensional analysis (Python 3)

Python Image Tool can be used to visualise analysis of data in microscopy (STM, SSM, optics), ARPES, XRD, or other multidimensional datasets on regularly gridded coordinates.

libsstp-api-0

Connect to a Microsoft Windows 2008 server using SSTP VPN

A client implementation of Secure Socket Tunneling Protocol (SSTP) for Linux / Mac OS-X that allows remote access via SSTP VPN to Microsoft Windows 2008 Server. It does so by tunneling PPP data over SSL.

sstp-client

Connect to a Microsoft Windows 2008 server using SSTP VPN

A client implementation of Secure Socket Tunneling Protocol (SSTP) for Linux / Mac OS-X that allows remote access via SSTP VPN to Microsoft Windows 2008 Server. It does so by tunneling PPP data over SSL.

r-cran-cmdfun

GNI R framework for building interfaces to shell commands

Writing interfaces to command line software is cumbersome. 'cmdfun' provides a framework for building function calls to seamlessly interface with shell commands by allowing lazy evaluation of command line arguments. 'cmdfun' also provides methods for handling user-specific paths to tool installs or secrets like API keys. Its focus is to equally serve package builders who wish to wrap command line software, and to help analysts stay inside R when they might usually leave to execute non- R software.