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Supported workloads

Scientific computing configured around the analysis.

These categories describe the analyses that can run within an Invitromics environment. Final tools and resources are selected during project scoping.

Composite bioinformatics analysis showing sequencing, differential expression and single-cell data
01

Genomics

Whole-genome and whole-exome sequencing, variant analysis and related short- and long-read workflows.

  • Illumina, PacBio and ONT
  • Variant calling and annotation
  • Population-scale workflows
02

Transcriptomics

Bulk, single-cell, single-nucleus and spatial transcriptomic workflows.

  • RNA-seq and pathway analysis
  • 10x and Visium
  • Cell annotation and differential expression
03

Multi-omics

Proteomics, metabolomics, epigenomics, metagenomics and integrative analysis.

  • ATAC-seq and ChIP-seq
  • Proteomics and metabolomics
  • Cross-platform integration
04

Machine learning & AI

Reproducible predictive modelling and data-driven discovery for complex biomedical datasets.

  • Feature engineering and model validation
  • Classification, regression and clustering
  • Interpretable analysis and documented performance
05

Scientific software

Research pipelines, APIs, databases and analytical applications.

  • R, Python and Bash
  • Nextflow and Snakemake
  • Containerised deployment
Next step

Discuss a workload

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