Quantitative Biology & Digital Science

The Quantitative Biology & Digital Science Unit supports researchers in quantifying, analyzing and explaining their data. The Unit also provides services in data management and reproducible workflows.

Biology has entered the big data age. Now, more than ever, computational and analytical skills are required to properly interrogate and interpret data. We provide expertise on data analysis, mathematical modelling, and statistical consulting and offer services on the whole data life cycle, from data management, reproducible analysis, and FAIR sharing. The unit provides access to a computational notebook infrastructure (Jupyter) and a content versioning system.

Contacts: +351 214407994 @: [email protected]


The facility hosts a regular "data clinic", free of charge for IGC users, that researchers can use to discuss particular data analysis or statistical/experimental design problems they may have. Researchers are encouraged to take advantage of these to triage problems/projects.

Before the start of any project, a meeting with the facility is advised.



Check the papers here.




Updated on 04 november 2022

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