libgudhi-examples

Example programs for the GUDHI library

The GUDHI library is a generic open source C++ library for Topological Data Analysis (TDA) and Higher Dimensional Geometry Understanding. The library offers state-of-the-art data structures and algorithms to construct simplicial complexes and compute persistent homology.

libmutter-11-0

window manager library from the Mutter window manager

Mutter is a Wayland display server and X11 window manager and compositor library. It contains functionality related to, among other things, window management, window compositing, focus tracking, workspace management, keybindings and monitor configuration.

gosa-plugin-uw-imap

uw-imap plugin for GOsa²

UW imap mail method.

mutter-11-tests

Tests for GNOME's window manager library

Mutter is a Wayland display server and X11 window manager and compositor library. It contains functionality related to, among other things, window management, window compositing, focus tracking, workspace management, keybindings and monitor configuration.

r-bioc-biomformat

GNU R interface package for the BIOM file format

This is an R package for interfacing with the BIOM format. This package includes basic tools for reading biom-format files, accessing and subsetting data tables from a biom object (which is more complex than a single table), as well as limited support for writing a biom-object back to a biom-format file. The design of this API is intended to match the Python API and other tools included with the biom-format project, but with a decidedly "R flavor" that should be familiar to R users. This includes S4 classes and methods, as well as extensions of common core functions/methods.

r-bioc-monocle

clustering, differential expression, and trajectory analysis for RNA-Seq

Monocle performs differential expression and time-series analysis for single-cell expression experiments. It orders individual cells according to progress through a biological process, without knowing ahead of time which genes define progress through that process. Monocle also performs differential expression analysis, clustering, visualization, and other useful tasks on single cell expression data. It is designed to work with RNA-Seq and qPCR data, but could be used with other types as well.