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A fork of Deep learning VAE DeepSEM from https://github.com/HantaoShu/DeepSEM.git at 18/03/2024. The idea here is to change the code to be able to extract the models and make goodness of fit with predicted expression

Code and workflows for the analyses reported in “Dici: a novel DNA transposon reshaping the genome of the opportunistic yeast Diutina catenulata”

Python package to download the tile table with urls of LIDAR-HD point cloud, DTM, DSM or DHM.

OpenFLUID framework and applications

Facilitates the retrieval of soil characteristics from the BDGSF (AWC and depth) and HWSD (texture).

Facilitates the retrieval of past gridded weather data from ERA5 and openmeteo.

Python code to map metabolites (including lipids) to metabolic networks using ontology.

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

Galaxy wrappers for met4j apps

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.

Implementation for Multi-Adversarial Team Games, and an approximate algorithm to solve them.

This project is the source repository of the CRAN package 'hicream' https://cran.r-project.org/package=hicream.

It performs Hi-C data differential analysis based on pixel-level differential analysis and a post hoc inference strategy to quantify signal in clusters of pixels. Clusters of pixels are obtained through a connectivity-constrained two-dimensional hierarchical clustering.