Lille bioinformatics platform

Bilille
Biology and health Platform

Bilille is the Lille bioinformatics platform. We support research units and platforms in biology and health in their activities by providing bioinformatics or biostatistical support. Bilille’s scientific scope includes in particular: omics data analysis, sequence annotation, phylogeny, systems biology, structural bioinformatics, integrative biology, high content screening data analysis and image data analysis. The platform's cross-disciplinary and diversified expertise in the analysis of data from the fields of biology, environment and health research enables it to offer a wide range of local services, from consulting to support in your projects, whether you are a beginner or an experienced researcher. We are open to all collaborations, academic or industrial.

Informations

Scientific director: Guillemette Marot
Technical director: Pierre Pericard
Technical director: Jimmy Vandel

https://wikis.univ-lille.fr/bilille/

Bâtiment ESPRIT, Avenue Paul Langevin
Campus Cité scientifique, Université de Lille
59650 VILLENEUVE D'ASCQ

Mots-clés

bioinformatics, statistical learning, machine learning, analysis pipeline, database, -omics data, sequence annotation, biological data analysis, integrative biology

Localisation

  • Omics data analysis (genomics, transcriptomics, proteomics, metagenomics, epigenomics, ...)
  • Imaging data analysis
  • Development of analysis pipelines and databases
  • Integrative biology
  • Annotation of genes, genomes and proteins
  • Phylogeny
  • Systems biology
  • Structural bioinformatics
  • Analysis of high content screening data
  • Development of bioinformatics and biostatistics tools

Projects:

  • mirKwood: complete pipeline for the identification and annotation of microRNAs in plant genomes from small-RNA-seq sequencing data
  • Viscorvar: R package for visualizing multi-block data integration results
  • Norine: software platform for the analysis of non-ribosomal peptides
  • Assembly and annotation of metatranscriptomic data of flax retting in the field
  • Integration of data (transcriptomics, metabolomics, metagenomics, cytometry, clinical) by statistical approaches in the study of the role of cytokines in metabolic, intestinal and pulmonary alterations
  • Analysis of biological data (sequencing data, evolution modeling, proteomics, annotation of genes, proteins and genomes, data screening, cytometry, structural bioinformatics, glycobiology)
  • Development of software tools, pipelines or databases
  • Provision of software resources
  • Provision of high-performance computing resources
  • Setting up collaborative projects requiring expertise in bioinformatics and/or biostatistics

We possess a Cloud: 360 CPU cores, 3 Tb RAM, 140 Tb storage, including about ⅓ integrated into the Biosphere national federation. Available to the community for data analysis projects.

See the detailed list of equipment.

Copalis, ANSES, Institut Français de Bioinformatique, Institut National du Cancer (INCa), Laboratoire MAP UMR5240, Plateforme "Exploration du Métabolisme" INRAE Clermont-Ferrand

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