Bioinformatics for immunology & oncology.

Bioinformatics for immunology & oncology.

Downstream analysis of experimental biological data, from immune repertoires and transcriptomics to single-cell and cancer genomics.

ILLUSTRATIVE SCHEMATIC

CLONOTYPE NETWORK

PRIMARY

SECONDARY

ILLUSTRATIVE SCHEMATIC

CLONOTYPE NETWORK

PRIMARY

SECONDARY

ILLUSTRATIVE SCHEMATIC

CLONOTYPE NETWORK

PRIMARY

SECONDARY

ANALYSIS AREAS

Research questions, translated into structured analysis.

01

Immune Repertoire

How are TCR/BCR clonotypes composed, diverse, expanded and shared?

02

Immunogenicity & Neoantigens

Which candidate antigens merit prioritisation in genomic and immune context?

03

Transcriptomics

Which expression patterns, contrasts and pathways are evident in the study?

04

Tumor Immune Microenvironment

How do immune and stromal composition estimates relate to immune signatures?

05

Single-cell Immunology

Which immune cell states and heterogeneity are represented?

06

Cancer Genomics

What somatic variation and genomic context should be compared?

PROJECT PROCESS

A concise path from question to interpretation.

01

Frame the question

02

Review the data

03

Interpret results

Start with the biological question.

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