q2-demux
QIIME 2 plugin for demultiplexing of sequence reads
QIIME 2 is a powerful, extensible, and decentralized microbiome analysis
package with a focus on data and analysis transparency. QIIME 2 enables
researchers to start an analysis with raw DNA sequence data and finish with
publication-quality figures and statistical results.
Key features:
* Integrated and automatic tracking of data provenance
* Semantic type system
* Plugin system for extending microbiome analysis functionality
* Support for multiple types of user interfaces (e.g. API, command line,
graphical)
q2-emperor
QIIME2 plugin for display of ordination plots
QIIME 2 is a powerful, extensible, and decentralized microbiome analysis
package with a focus on data and analysis transparency. QIIME 2 enables
researchers to start an analysis with raw DNA sequence data and finish with
publication-quality figures and statistical results.
Key features:
* Integrated and automatic tracking of data provenance
* Semantic type system
* Plugin system for extending microbiome analysis functionality
* Support for multiple types of user interfaces (e.g. API, command line,
graphical)
libpacemaker1t64
cluster resource manager utility library
At its core, Pacemaker is a distributed finite state
machine capable of co-ordinating the startup and recovery of inter-related
services across a set of machines.
smuxi-engine
Engine libraries for Smuxi (IRC, Twitter, XMPP, Campfire, JabbR)
Smuxi is an irssi-inspired, flexible, user-friendly and cross-platform IRC
client for sophisticated users, targeting the GNOME desktop.
libonnxruntime1.13.1
cross-platform inference and training ML accelerator (shared lib)
ONNX Runtime is a performance-focused complete scoring engine for Open Neural
Network Exchange (ONNX) models, with an open extensible architecture to
continually address the latest developments in AI and Deep Learning. ONNX
Runtime stays up to date with the ONNX standard with complete implementation of
all ONNX operators, and supports all ONNX releases (1.2+) with both future and
backwards compatibility. Please refer to this page for ONNX opset compatibility
details.