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libmassgui is a C++ static library that is referenced from other projects. The libmassgui static library is designed to enshrine the gui functionalities needed by the following two projects:

msXpertSuite/massXpert; msXpertSuite/mineXpert2.

libmassgui has a companion GUI library, libmass , that is designed to enshrine the non-GUI functionalities needed by the same two projects above.

select or stitch the best image for each uplot and save it in "selected_images" directory

Support de présentation pour les sessions de formation bases de Linux et bonnes pratiques de développement informatique

Source code for the modelling and inference approach implemented by the INRAE team

Cirad institutional LaTeX package

Scripts used in: "Integration of genomic selection into winter-type bread wheat breeding schemes: a simulation pipeline including economic constraints" S. Ben-Sadoun, A. Fugeray-Scarbel, J. Auzanneau, G. Charmet, S. Lemarié, S. Bouchet

The computer-model tool CRASH (Crops Rotation and Allocation Simulator using Heuristics) aims at helping technical advisors in supporting farmers in their choices and anticipating agricultural water needs depending on crop acreage.

Species Perscrutandis Enixe Locis Locabuntur.

A gene finding software for eukaryotic and prokaryotic organisms.

Pompd: Positive Multistate Protein Design

Spike and slab variable selection in nonlinear models

R'MES is a tool for studying word frequencies in biological sequences.

Documentation pour le SI SOERE Prairies Permanentes : https://urep.pages.mia.inra.fr/soere-pp/doc_soere-pp

BONnes Pratiques sur LA gestioN des Données : https://urep.pages.mia.inra.fr/docs/bonpland

Model to simulate the spread of Map within and between herds via trade movements between dairy herds. Some control measures can be applied. Model is mechanistic and data-driven, stochastic, discrete-time and individual-based.

PAPPSOms++ is a comprehensive C++ library including usefull functions to handle proteomics data (spectrum, peptides, ions, isotopes).

Multiple is a program for de novo discovery of DNA motifs corresponding to Transcription Factor binding sites based on a probabilistic model of the DNA sequence that incorporates expression data as covariates.