Case Studies

International Cancer Genome Consortium

Selecting valuable patient cohorts for cancer biomarker discovery
Providing a scientist with prioritised datasets based on their scientific relevance to the research that the scientist wants to carry forward, allows for improved data selection, encourages data reuse and hence makes datasets more valuable.

sysVASC logo - case studies

the challenge: Organise and harness the value of sysVASC scientific and patient data in the context of publicly available information on therapeutic gene targets.

the Eagle solution: Eagle used our translational medicine platform to ingest, curate and annotate sysVASC and public patient data to build an catalogue of patient biomolecular data, clinical phenotypes and therapeutic targets.

Horizon logo

the challenge: Release high quality, well annotated CHO genome.

the Eagle solution: Complete the high quality genome assembly and gold standard gene annotation of the data.

gsk logo

the challenge: Identify the molecular biomarkers for acute pancreatitis, a potentially fatal disease to which patients respond differently, making treatment unpredictable.

the Eagle solution: Curate, catalogue then exploit the data through machine learning.

cytocell logo

the challenge: How does Cytocell exploit the power of genomics to aide in the development of more than 350 cytogenetic, haematology and solid tumour analysis products?

the Eagle solution: By having Eagle build an improved system that allows for quicker mapping of the probes in its library against the reference human genome

unilever logo

the challenge: How is Unilever transforming its business through genomics data insights?

the Eagle solution: By tapping into Eagle’s expertise to deliver a digital data program that runs 20 times faster, speeding the analysis of large quantities of biological data.


the challenge: Discover antibiotics with novel and unrelated mechanisms of action, which slow the development of resistance.

the Eagle solution: Evaluate the tools used by the company and adopt them to solve the challenge in a three step project.

Global Pharma

the challenge: How do cancer study researchers in a pharmaceutical company quickly and accurately manage 50-80 million sequence reads per sample fragments to solve clues about cancer?

the Eagle solution: By working with Eagle to introduce big data workflow technology that helps solve clues about cancer and which now powers other projects.


the challenge: How does a leading innovator mine the assets within terabytes of microarray experiment data?

the Eagle solution: By partnering with Eagle to further develop Eagle’s powerful metadata system that enables avenues for further research and collaboration.