Precision at Scale

Anocca has developed a software ecosystem to model and capture the unique complexity of T-cell biology

Anocca OS is integral to how we work with biology at scale to harness T-cell immunity


Store and Organise

Anocca OS has been specifically built to model the scope and complexity of T-cell biology. We operate our platform at scale, and accurately capture the relationships between the immense number of biological and data entities. Enabling powerful analysis and machine learning by amassing a wealth of highly annotated, quality controlled and quantitative datasets based on real biological outcomes.


Analyse and Visualise

Anocca OS enables us to navigate and interpret the immense amount of data our platform generates with custom data analysis pipelines and comprehensive visualisation tools. Our scientists can decipher T-cell biology with confidence, supporting our systematic approach to target mapping and product development.


Automate and Scale

Our platform is designed and built for automation and scale-up with Anocca OS at the core, enabling seamless automation and digitalisation. We’ve built tools for management of processes, reporting and organisation of resources. We have begun building foundational AI models of T-cell biology to support and accelerate our platform outputs, including tools for personalisation of our therapeutics. This enables us to efficiently build libraries of therapeutic products that can precisely address the massive target space for T-cells, with rigorous quality and traceability.

Purpose built to support every facet of our research and development

Our Interactive Sequence Viewer

Visualisation and markup of biomolecules DNA, RNA and Protein is critical to T-cell biology. There are several very good open-source viewers around, but we wanted something light weight and modular, with a modern, sleek and intuitive interface.
So, we built one. And open sourced it for anyone to use.

The molecule

Featured here is a DNA molecule encoding two synthetic genes, with cancer targets. One contains fragments from a protein called KRAS with different mutations, and the other the whole protein for PRAME (yellow). Furthermore, we’ve annotated known HLA-peptide targets from both proteins, in the HLA alleles A*11:01 and A*02:01, respectively. Annotated are also several features critical for the “bioprogram” to run in cells hosting the DNA construct.