Data integration

We target specialized journals dedicated to the development of computational tools, and broader audience journals where state-of-the art technologies are applied to the investigation and elucidation of biological processes in key and emerging research areas.

The value of our research

publications-infographic

January 29, 2024

Strengths and limitations of non-disclosive data analysis: a comparison of breast cancer survival classifiers using VisualSHIELD

Preserving data privacy is an important concern in the research use of patient data. The DataSHIELD suite enables privacy-aware advanced statistical analysis...

January 5, 2023

Single-cell-led drug repurposing for Alzheimer’s disease

Alzheimer's disease is the most common form of dementia. Notwithstanding the huge investments in drug development, only one disease-modifying treatment...

December 4, 2021

mRNA Vaccine Platforms

Literature Mining and Mechanistic Graphical Modelling to Improve mRNA Vaccine Platforms

A new computational method for drug repurposing

Develop a systems pharmacology workflow that integrates different data types such as genomics, transcriptomics, and literature to identify in silico drug...

Taking care of immune-beneficial infant gut bacteria

Hunting for foods to help infants build strong immune systems, a New Zealand National Science Challenge. These studies are traditionally conducted trialing...

Investigating the inflammatory signaling characterizing lysosomal storage disorders (LSDs)

Develop a text-mining and systems biology framework to investigate the inflammatory signaling characterizing lysosomal storage disorders (LSDs). First...

Our books

Analysis Of Biological Systems

Analysis of Biological Systems collects classical material on analysis, modeling and simulation, thereby acting as a unique point of reference. The joint application of statistical techniques to extract knowledge from big data and map it into mechanistic models is a current challenge of the field, and the reader will learn how to build and use models even if they have no computing or math background. An in-depth analysis of the currently available technologies, and a comparison between them, is also included. Unlike other reference books, this in-depth analysis is extended even to the field of language-based modeling. The overall result is an indispensable, self-contained and systematic approach to a rapidly expanding field of science.

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2015

Simulation Algorithms for Computational Systems Biology

This book explains the state-of-the-art algorithms used to simulate biological dynamics. Each technique is theoretically introduced and applied to a set of modeling cases. Starting from basic simulation algorithms, the book also introduces more advanced techniques that support delays, diffusion in space, or that are based on hybrid simulation strategies. This is a valuable self-contained resource for graduate students and practitioners in computer science, biology and bioinformatics. An appendix covers the mathematical background, and the authors include further reading sections in each chapter.

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2018

Check out COSBI publications on PubMed

Scientific publications