Our Services

Migale, one of the Collective Scientific Infrastructure of INRAE, is part of the BioinfOmics Research Infrastructure of INRAE for bioinformatics. It is also a member of IFB (Institut Français de Bioinformatique), the French bioinformatics infrastructure and associated facility of France Génomique, the French genomic infrastructure for which we contribute to support different developments in bioinformatics.
A free account gives you access to work and save directories for your data, and access to the computer farm for your analyses.
The cluster farm is composed of about a thousand cores organized in different queues. We use the Sun Grid Engine queuing system for managing jobs.
You have a free access to our Galaxy server. Galaxy allows non-bioinformaticians to easily run tools without technical knowledges.
Command line tools, R packages and Galaxy wrappers are available on request and accessible to all migale authenticated users.
We provide an access to a large set of public biological databanks including whole genomes, nucleic and proteic sequences and other resources. They are updated automatically with BioMaJ or upon request.
We write tutorials to help you get familiar with tools, best practices, languages, etc.
Each year, we offer our "Bioinformatics by practicing" cycle. This cycle covers a broad spectrum of bioinformatics. The modules mix theoretical part and practical work.
We answer to the most common questions regarding the technical difficulties you can go through on our infrastructure.
Find all the ways to contact us.

Update R

Submitted by vmartin on Tue, 11/03/2020 - 08:43

R 4.0.2 is now the default version on migale


    * R CMD check skips vignette re-building (with a warning) if the VignetteBuilder package(s) are not available.


    * Paths with non-ASCII characters caused problems for package loading on Windows PR#17833.

    * Using tcltk widgets no longer crashes R on Windows.

    * source(*, echo=TRUE) no longer fails in some cases with empty lines; reported by Bill Dunlap in PR#17769.

    * on.exit() now correctly matches named arguments, thanks to PR#178

New article: Taxon Appearance From Extraction and Amplification Steps Demonstrates the Value of Multiple Controls in Tick Microbiota Analysis

Submitted by orue on Thu, 06/11/2020 - 09:48

A collaboration with Ecole Nationale Vétérinaire d’Alfort and INRAE teams led to the publication of this article. We showed that contaminant OTUs from sample laboratory processing steps can represent more than half the total sequence yield in sequencing runs, and lead to unreliable results when characterizing tick microbial communities. We thus strongly advise the routine use of negative controls in tick microbiota studies, and more generally in studies involving low biomass samples. You can access this article here.