Advaita Bioinformatics

Use Cases

What do you want to do today?

Mechanism Discovery

Uncover the mechanism behind your signature with topology-aware impact analysis: perturbed pathways and the upstream regulators driving them.

Tissue Structure

Map your spatial architecture of a tissue, identifying distinct regions and how their cell types and pathways differ.

Trajectory Inference

Order cells along developmental or regenerative trajectories, using pseudotime to trace how states emerge, diverge, and transition.

Biomarker Identification

Identify the biomarkers in your data that indicate a specific biological state, process, or treatment response.

Subtype Discovery

Discover subgroups within your population from their molecular profiles to stratify samples and guide decisions.

Network Analysis

Build interaction networks to identify hub genes, key drivers, upstream regulators, and predicted downstream effects.

Drug Repurposing

Match your disease gene signature to drugs known to reverse it, or to drugs that produce a similar molecular effect.

Cell-Cell Communication

Infer how your cell populations signal to one another, identifying the ligand-receptor interactions in your dataset.

Cell Type Identification

Annotate single cells in your sample, automatically or manually (by cluster), to define which cell populations are present.

Ready to run these on your own data?

Not ready yet? Request a demo