The computational
genome biology ecosystem.
We fuse genomics, bioinformatics, oncogenomics, multi-omics and artificial intelligence into a single immersive platform — from raw sequence to clinical insight.
Thirteen domains, one ecosystem.
Each area is a focused programme with its own methods, visualisations and publications — explore any of them in depth.
Genomics
Reading the genome end-to-end
Explore Genomics →Bioinformatics
Pipelines, algorithms & reproducible analysis
Explore Bioinformatics →Cancer Genomics
Decoding tumours, driver by driver
Explore Cancer Genomics →Rare Disease Genomics
Answers for the undiagnosed
Explore Rare Disease Genomics →Marine Genomics
Genomes from the blue frontier
Explore Marine Genomics →Single-Cell Omics
One cell at a time
Explore Single-Cell Omics →Spatial Biology
Biology in its native context
Explore Spatial Biology →Multi-Omics Integration
Many layers, one biology
Explore Multi-Omics Integration →Computational Proteomics
From spectra to systems
Explore Computational Proteomics →Proteogenomics
Where the genome meets the proteome
Explore Proteogenomics →Biomarker Discovery
Signals that change decisions
Explore Biomarker Discovery →Genomic Data Science
Turning data into discovery
Explore Genomic Data Science →AI for Biology
Machine intelligence for life science
Explore AI for Biology →Sequencing data, flowing through intelligence.
Watch data move from the sequencer through machine-learning pipelines, transformers and graph neural networks into clinical interpretation.
Sequencing
Raw reads from WGS, WES, RNA & single-cell
QC & alignment
FastQC, trimming, BWA/minimap2
Variant calling
GATK, DeepVariant, somatic callers
ML & transformers
Sequence & language models over genomes
Graph neural nets
Reasoning over gene & pathway networks
Prioritisation
Ranking causal & actionable variants
Clinical insight
Interpretation & precision-medicine reports
Oncogenes & tumour suppressors, connected.
Hover any node to trace its signalling neighbours. This live network links major drivers — KRAS, MYC, EGFR, PIK3CA — with suppressors like TP53, PTEN, RB1, BRCA1, the way they rewire across cancers.
The figures behind the science.
Genome & variant browsers, Circos, OncoPrints, volcano plots, UMAP, survival curves and spatial dashboards. Tap any figure to enlarge.
Lead publications.
Publications of 2025–2026 with Kumar, A. as first or last author.
Latest videos.
The 10 most recent uploads from @compgenomebiol, running by — hover to pause, click any tile to watch.
Start a project with us.
Research collaborations, consulting, and clinical-genomics support across all thirteen domains. Tell us the problem and the data you have.