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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...

MCQR is a comprehensive set of objects and function for R to handle MassChroQ results.

mixKernel is a multiple kernel framework that allows to integrate multiple datasets of various types into a single analysis. The package is published on CRAN: https://cran.r-project.org/package=mixKernel

SHiNeMaS is a database with its web interface, dedicated to the management of the history of seed lots and related data like phenotyping, environment and cultural practices. SHiNeMaS is freely available under GNU Affero GPL Licence

Construction and Analysis of Protein-Protein Interactions (PPI) NETWORKS for complexes and biological processes

GenoFig is a tool for graphical vizualisation of annotated genetic regions, and homologous regions comparison. It was designed to be as easy to use as possible for biologists.

Fork from https://github.com/kubernetes-sigs/kubespray.git

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

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

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.

A suite of C++ programs developed for transposable element search and their annotation in large eukaryotic genome sequence. A part of the REPET package.

diversity-based enumeration of optimal context-specific metabolic networks using the cobrapy library

github mirror: https://github.com/MetExplore/dexom-python

mechanistic-statistical environement