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migale / Formations
Creative Commons Attribution Share Alike 4.0 InternationalArchived 0Updated -
Package R with a shiny interface to run an interactive differential gene/region expression analysis.
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A method to compare a clustering to a classification with ordinal classes.
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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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UMR GDEC / BWGS
GNU General Public License v2.0 or laterPackage for BreedWheat Genomic Selection pipeline
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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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UMR-ASTRE / spreadrate
GNU General Public License v3.0 onlyEstimate the spread-rate of epidemics https://umr-astre.pages.mia.inra.fr/spreadrate/
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UMR-ASTRE / geonetwork
GNU General Public License v3.0 onlyNetworks/graphs with geo-localised nodes https://umr-astre.pages.mia.inra.fr/geonetwork/
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Guillaume Devailly / perepigenomics_app
MIT LicenseSource code for shiny app PEREpigenomics: Profile Explorer of Roadmap Epigenomics data Pre-processing scritps: https://github.com/gdevailly/perepigenomicsAnalysis
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UMR-ASTRE / mapMCDA
GNU General Public License v3.0 onlyProduce an epidemiological risk map by weighting multiple risk factors. https://umr-astre.pages.mia.inra.fr/mapMCDA/
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UMR-ASTRE / epidmap
GNU General Public License v3.0 onlyUpdated -
Dimitri Szabo / LicenseWaiverMaker
MIT LicenseA simple R package to create specific license waivers to add in Dataverse
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Pierre Nicolas / Multiple
GNU General Public License v3.0 or laterMultiple 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.
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