1
http://bioinfo.genotoul.fr/ [email protected] @BioinfoGenotoul Platform Genotoul Bioinfo Gaspin C., Hoede C., Klopp C., Laborie D., Mariette J., Noirot C., Trotard M.S. MIAT, Université de Toulouse, INRA, 31326 Castanet-Tolosan, France About us Name: Platform Genotoul Bioinfo. Creation year: 2000. Location: INRA datacenter located in Auzeville, south of Toulouse. Open to: the life science community requiring bioinformatics resources. The team: 7 permanents (5.6 ETP). Partnership: Genotoul Sequencing Patform (Get-Genotoul). Network: Genotoul facility (www.genotoul.fr). French bioinformatics infrastructure (IFB « Institut Français de Bioinformatique »). France genomic. Software and workflow developments The team develops novel data analysis methods and tools. The most recent tools include D-GENIES, an interactive dot plot viewer adapted to large genomes (Figure 1), and mixKernel,a R package to integrate heteroge- neous data (Figure 1). The team also sets up and maintains data analysis workflows. In 2017, three articles were published in collaboration with the Sigenae and SaAB teams. Figure 1: D-GENIES software output Figure 2: Integrating heterogenous data with mixKernel Training In collaboration with: Sigenae, NED (GenPhySE), SaAB (MIAT) and TWB. Thematics: RNAseq assembly, RNAseq mapping and quatification, sRNAseq, variant analysis, metagenomics. Environment: Galaxy or command line. Data analysis Team members provide supports to biologists to analyse their data in various thematics: genome assembly (short and long reads), annotation (coding and non coding), sRNA-seq, RNA-seq, methyl-seq, variant analyses, metagenomic (metabarcoding and whole genome), and more recently data integration. In 2017, the platform was involved in 26 projects and has co-signed 17 publications with biologists. Figure 3: Part of the network representing predicted coevolution between L. monocytogenes EGD-e sRNAs and either 5’UTRs or CDS regions Computational resources 3000 cores and a storage capacity of 2.5 Po. Secure access (ssh) is provided to users ( 1200 users at the end of 2017). Redundant equipments and daily back-ups also insure data protection and security. More than 230 databanks are regularly updated. 900 bioinformatic software were installed by the end of 2017. VM hosting such as Galaxy instance maintained by the Sigenae team (http://www.sigenae.org/).

Gaspin C., Hoede C., Klopp C., Laborie D., Mariette J ...... [email protected] @BioinfoGenotoul Platform Genotoul Bioinfo Gaspin C., Hoede C., Klopp C., Laborie

  • Upload
    others

  • View
    0

  • Download
    0

Embed Size (px)

Citation preview

Page 1: Gaspin C., Hoede C., Klopp C., Laborie D., Mariette J ...... anim.bioinfo-occitanie-toulouse@inra.fr @BioinfoGenotoul Platform Genotoul Bioinfo Gaspin C., Hoede C., Klopp C., Laborie

http://bioinfo.genotoul.fr/[email protected]@BioinfoGenotoul

Platform Genotoul Bioinfo

Gaspin C., Hoede C., Klopp C., Laborie D., Mariette J., Noirot C., Trotard M.S.MIAT, Université de Toulouse, INRA, 31326 Castanet-Tolosan, France

About us• Name: Platform Genotoul Bioinfo.• Creation year: 2000.• Location: INRA datacenter located in Auzeville, south of Toulouse.• Open to: the life science community requiring bioinformatics resources.• The team: 7 permanents (5.6 ETP).• Partnership: Genotoul Sequencing Patform (Get-Genotoul).• Network:

• Genotoul facility (www.genotoul.fr).• French bioinformatics infrastructure (IFB « Institut Français de Bioinformatique »).• France genomic.

Software and workflow developmentsThe team develops novel data analysis methods and tools. The most recenttools include D-GENIES, an interactive dot plot viewer adapted to largegenomes (Figure 1), and mixKernel, a R package to integrate heteroge-neous data (Figure 1). The team also sets up and maintains data analysisworkflows. In 2017, three articles were published in collaboration with theSigenae and SaAB teams.

Figure 1: D-GENIES software output Figure 2: Integrating heterogenous data withmixKernel

Training• In collaboration with: Sigenae, NED (GenPhySE), SaAB (MIAT)

and TWB.• Thematics: RNAseq assembly, RNAseq mapping and quatification,

sRNAseq, variant analysis, metagenomics.• Environment: Galaxy or command line.

Data analysisTeam members provide supports to biologists to analyse their data in variousthematics:• genome assembly (short and long reads),• annotation (coding and non coding),• sRNA-seq,• RNA-seq,• methyl-seq,• variant analyses,• metagenomic (metabarcoding and whole genome),• and more recently data integration.In 2017, the platform was involved in 26 projects and has co-signed 17publications with biologists.

Figure 3: Part of the network representing predicted coevolution between L. monocytogenesEGD-e sRNAs and either 5’UTRs or CDS regions

Computational resources

• 3000 cores and a storagecapacity of 2.5 Po.

• Secure access (ssh) is providedto users ( 1200 users at the end of2017).

• Redundant equipments and dailyback-ups also insure dataprotection and security.

• More than 230 databanks areregularly updated.

• 900 bioinformatic softwarewere installed by the end of 2017.

• VM hosting such as Galaxyinstance maintained by theSigenae team(http://www.sigenae.org/).