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Dépôt du site internet de la plateforme Genotoul-biostat
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lidar / lidarHD
GNU General Public License v3.0 or laterUpdated -
SiriusQuality / sqcode / Release
MIT LicenseUpdated -
BioMa component of the phenology model in SiriusQuality2
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The aim of this project is to provide an R package for big integer (and big rational) computations. This is achieved via an C++ interface to the GNU MP ("GMP") library, and S3 classes "bigz", "bigq", etc.
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CarthaGène is multi-population genetic/radiated hybrid mapping software. CarthaGene looks for multiple populations maximum likelihood consensus maps using a fast EM algorithm for maximum likelihood estimation and powerful ordering algorithms.
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ViSEAGO: Easier data mining of biological functions organized into clusters using Gene Ontology and semantic similarity. Visualization, Semantic similarity and Enrichment Analysis of Gene Ontology.
Topics: R-packageUpdated -
Félix Hartmann / XyDyS
GNU General Public License v3.0 onlyXyDyS (Xylogenesis Dynamics Simulator) is a software for interactive exploration of computational models of wood formation.
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Supports pour la formation shiny - Plateforme de Biostatistique – Génopole Toulouse Midi-Pyrénées
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ICEscreen detects and annotates ICEs (Integrative and Conjugative Elements) and IMEs (Integrative and Mobilizable Elements) in Firmicutes genomes.
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GQE-ABISoft / SHiNeMaS
GNU Affero General Public License v3.0SHiNeMaS 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
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Stacomi / stacomirtools
GNU General Public License v3.0 or laterDatabase connection utilities, RODBC and pool
Topics: Fish migrati...Updated -
Agriterix / simulator
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Stacomi / stacoshiny
MIT LicenseUpdated -
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IRHS-Bioinfo / BiSePS
MIT LicenseBisulfite Sequencing Processing Software : Snakemake Pipeline
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PAPPSO / xtpcpp
GNU General Public License v3.0 onlyX!TandemPipeline is a free software (GPL v3) that helps you to filter and group your peptide/protein identifications from MS/MS mass spectra.
Publication: J. Proteome Res. 2017, 16, 2, 494–503 -- https://doi.org/10.102
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