Bioinformatics

NGS data analysis:
- RNA-Seq : transcript quantification, differential analysis, splicing event detection.
- RNA-seq de novo:  transcripts assembly, annotation, differential analysis
- miRNA-seq : microRNA quantification, differential analysis, target candidates analysis
- scRNA-seq / snATAC-seq +/- protein surface : cell population clustering and annotation, find markers, pseudotime analysis
- ChIP-seq : peak calling and annotation, motifs finding known and de novo, differential analysis
- ATAC-seq : accessible region calling and annotation, differential accessibility analysis, motifs finding known and de novo
- Methyl-seq (WGBS, capture CpG, microarray) : methylation quantification, differential analysis (hyper and hypo methylation) 
- WGS : de novo assembly, variant identification and annotation
- WES : variant identification and annotation
- metagenomics (targeted, shotgun) /metatranscriptomics : OTUs identification, diversity analysis, differential analysis, functional analysis
- other : CRISPR-Cas9, microarrays. GEO data submission

Personalized training : NGS data analysis, introduction to linux / Compute Canada server / R programming