python3-webcolors

python3 library of color names and value formats

For python3, support is included for the following formats, but this support RGB colorspace only. * Specification-defined color names * Six-digit hexadecimal * Three-digit hexadecimal * Integer rgb() triplet * Percentage rgb() triplet This module conversion to/from HSL can be handled by the "colorsys" module in the Python standard library.

r-bioc-pfamanalyzer

GNU R identification of domain isotypes in pfam data

Protein domains is one of the most import annoation of proteins that are with the Pfam database/tool being (by far) the most used tool. This R package enables the user to read the pfam prediction from both webserver and stand-alone runs into R. It was recently shown most human protein domains exist as multiple distinct variants termed domain isotypes. Different domain isotypes are used in a cell, tissue, and disease- specific manner. Accordingly, it was found that domain isotypes, compared to each other, modulate, or abolish the functionality of a protein domain. This R package enables the identification and classification of such domain isotypes from Pfam data.

libxcb-errors0

Helper library for printing information about X11 errors (shared library)

xcb-util-errors is a utility library that gives human readable names to error codes and event codes and also to major and minor numbers.

libchdr0

standalone library for reading MAME CHDv1-v5 formats

The code is based off of MAME's old C codebase which read up to CHDv4 with OS-dependent features removed, and CHDv5 support backported from MAME's current C++ codebase.

libheimbase1t64-heimdal

Heimdal Kerberos - Base library

Heimdal is a free implementation of Kerberos 5 that aims to be compatible with MIT Kerberos.

libhdfeos0t64

Earth Observation System extensions to HDF4

HDF-EOS4 is a software library designed built on HDF4 to support EOS-specific data structures, namely Grid, Point, and Swath. The new data structures are constructed from standard HDF data objects, using EOS conventions, through the use of a software library [1,4]. A key feature of HDF-EOS files is that instrument-independent services, such as subsetting by geolocation, can be applied to the files across a wide variety of data products. The library is extensible and new data structures can be added.