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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.