·         Experimental design, consultation

·         Quality control (unwanted variation, data structure)

·         Normalization (a range of options available)

·         Standard or custom annotation data can be applied

·         Differential expression (t-test, ANOVA, multi-way ANOVA, various solutions for NGS)

·         Uni-, and multivariate analysis

·         Visualization (Principal component analysis, hierarchical cluster analysis, Volcano plot, etc.)

·         Pathway/network analysis

·         Geneset Enrichment Analysis (GSEA)

·         Biomarker analysis (classification, prognostic, diagnostic)