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Une interface web qui regroupe l’ensemble des données scRNAseq publiées chez les plantes légumineuses afin de les rendre accessible à la communauté internationale et servir de site de référence.
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metagWGS is a workflow dedicated to the analysis of metagenomic data. It allows assembly, taxonomic annotation, and functional annotation of predicted genes. Since release 2.3, binning step with the possibility of cross-alignment is included. It has been developed in collaboration with several CATI BIOS4biol agents. Funded by Antiselfish Project (Labex Ecofect), ExpoMicoPig project (France Futur elevage) and SeqOccIn project (CPER - Occitanie Toulouse / FEDER), ATB_Biofilm funded by PNREST Anses, France genomique (ANR-10-INBS-09-08) and Resalab Ouest.
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'airGR' based Integrated Water Resource Management Model.
This R package works on top of on the 'airGR' package. It aims to model the catchment area with a semi-distributed model integrating human infrastructures and their management.
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An R package for the distribution of the ratio of Gaussian distributions: density function, parameter estimation, simulation. Application to vegetation index, such as chlorophyll fluorescence index.
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MineXpert (currently MineXpert3, of the http://www.msxpertsuite.org software collection) is a desktop-oriented program that allows one to visualize mass spectrometric data in their full MS^n depth. Sophisticated mouse-driven mass data integrations are easily performed.
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the ontology to describe the interaction between organisms and cultivated plants
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Partie applicative d'AgroMetInfo.
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The two libraries of the XpertMass project are libXpertMassCore and libXpertMassGui. The two libraries expose common non-gui and gui functionalities, respectively, that are used by two software pieces of the msXpertSuite organization: MassXpert and MineXpert.
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𝐂𝐀𝐖𝐄𝐓 (Calculation of Agronomical Water needs and EvapoTranspiration) is an open-source tool for automatic estimation of agricultural water needs
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FAIDARE: FAIR Data-finder for Agronomic Research
It provides web services (based on the BrAPI standard) and a web interface with easy to use filters to facilitates the access to plant datasets from a federation of sources.
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DataDiscovery aims at providing researchers a simple and fast access to relevant biological data using specific keywords and easy to use filters.
This tool is expected to be easily customizable for specific filters, environments, or data schemas.
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