This is a staging site. Uploads will not persist. Testing only.
libohex-ocaml
OCaml library for hexadecimal encoding and decoding (runtime)
ohex is an OCaml library to encode and decode hexadecimal byte
sequences.
python3-meshtastic
client shell for talking to Meshtastic devices
This is a Python client for use with Meshtastic devices. This small library
(and example application) provides an easy API for sending and receiving
messages over mesh radios. It also provides access to any of the
operations/data available in the device user interface or the Android
application. Events are delivered using a publish-subscribe model, and you
can subscribe to only the message types you are interested in.
r-bioc-affxparser
Affymetrix File Parsing SDK
Package for parsing Affymetrix files (CDF, CEL, CHP, BPMAP, BAR). It
provides methods for fast and memory efficient parsing of Affymetrix
files using the Affymetrix' Fusion SDK. Both ASCII- and binary-based
files are supported. Currently, there are methods for reading chip
definition file (CDF) and a cell intensity file (CEL). These files can
be read either in full or in part. For example, probe signals from a few
probesets can be extracted very quickly from a set of CEL files into a
convenient list structure.
r-bioc-basilisk
freezing Python dependencies inside Bioconductor packages
Installs a self-contained conda instance that is managed by the
R/Bioconductor installation machinery. This aims to provide a consistent
Python environment that can be used reliably by Bioconductor packages.
Functions are also provided to enable smooth interoperability of
multiple Python environments in a single R session.
r-bioc-decontam
identify contaminants in marker-gene and metagenomics sequencing sata
Simple statistical identification of contaminating sequence features in
marker-gene or metagenomics data. Works on any kind of feature derived from
environmental sequencing data (e.g. ASVs, OTUs, taxonomic groups, MAGs,...).
Requires DNA quantitation data or sequenced negative control samples.
r-bioc-noiseq
Exploratory analysis and differential expression for RNA-seq data
Analysis of RNA-seq expression data or other similar kind of data.
Exploratory plots to evualuate saturation, count distribution,
expression per chromosome, type of detected features, features length,
etc. Differential expression between two experimental conditions with
no parametric assumptions.