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julie.chevalier - Machine Learning, NGS/OMICS Data integration, Functionnal Genomic, Epigenetics, Galaxy Management
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julie.chevalier

Machine Learning, NGS/OMICS Data integration, Functionnal Genomic, Epigenetics, Galaxy Management
French Institute of Health and Medical Research • Paris • France

Skills and expertise

Fields of interest
  • WGS analysis
  • ChIP-seq analysis
  • Protein interaction analysis
Languages
  • English
  • French
Programming languages
  • Java
  • Perl
  • Python
  • R
  • Shell (Bash)

TOOLS MAINTAINED

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GIANT

Desktop

GIANT / Galaxy-based Interactive ANalysis of Transcriptomic data

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Allows users to perform transcriptomic analyses. GIANT permits users to consecutively operate all the steps required for microarray-based analyses ranging from data quality control (QC) to…

Fields of interest

WGS analysis
Enables linkage disequilibrium (LD) decay analysis. PopLDdecay allows…
Discovers the mean in a partition distribution. mean_partition is based on an…
Identifies variants and assigns lineage from Mycobacterium tuberculosis complex…
ChIP-seq analysis
Identifies variants and assigns lineage from Mycobacterium tuberculosis complex…
Allows deduction of gene ontology (GO) attributes of proteins. MetaGO combines…
Performs σ54 recognition. S54Finder was developed to work with short DNA…
Protein interaction analysis
Deduces target gene expression profiles using a conditional generative model.…
Enables the simplification and compression of graphs based on high frequency…
Allows the extraction of protein-protein interactions (PPIs) including…