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mechanistic-statistical environement

https://olivier.bonnefon.pages.mia.inra.fr/mse/

utilitaire pour la manipulation de fichiers Fasta : ajout de métadonnées (espèces, numéro de release, source...), traduction, traitements (decoy, reverse, peptide reverse...), combinaison de fichiers.

GroupingProtein does filtering, protein inference and grouping of mass MS/MS identification result (thousands of samples, high resolution mass spectrometers)

i2MassChroQ (identification & inference -- mass chromatogram quantification) is the successor of X!TandemPipeline-Java. Following a full rewrite in C++17 and integration of the MassChroQ module, i2MassChroQ features a quantitative proteomics solution

The Orfeo ToolBox (OTB) extension for Deep Learning. Enable the use of TensorFlow models on Remote Sensing images. Provides OTB applications for patches sampling, model training, model inference, hybrid models, and so on.

Lightweight C++ and Java library to produce Open Document Spreadsheet (.ods) files. The main goal is to write data as simply as writing it to a simple text file (csv or tsv). Libodsstream allows yout to read and write ODS files as stream

"beads" (billes en Français) est un logiciel de détection et de quantification de spots sur des images de gels d'électrophorèse bidimensionnelle.

PAPPSOms++ is a comprehensive C++ library including useful functions to handle mass spectrometric data, either in a proteomics setting or for data visualization. Abstractions include peptides, proteins, isotopic clusters, mass/drift spectra...

massXpert2 (of the http://www.msxpertsuite.org software collection) is a desktop-oriented program that allows one to create polymer chemistry definitions. The definitions are then used to perform calculations in a desktop calculator-like manner and to perform sophisticated polymer sequence mass spectrometry simulations.

MassChroQ (Mass Chromatogram Quantification) is a powerful and versatile software that performs retention time alignment, XIC extraction, peak detection and quantification on data obtained from liquid chromatography-mass spectrometry techniques.

Decloud is a framework to remove clouds in Sentinel-2 images from joint Sentinel-1 (SAR) and Sentinel-2 (Optical) images or time series.

This project is a custom version of CB-Geo MPM.

Run deep learning models from pytorch, tensorflow, keras, Caffe2, Microsoft Cognitive Toolkit, Apache MXNet, etc

Remote module for Orfeo ToolBox

Code storage Area of the RECORD Project packages.