Being able to visualize the transmission of a virus in real-time during an outbreak, or to better adapt cancer treatment on the basis of the mutations present in a tumour’s individual cells are only two examples of what molecular big data can bring to medicine and health globally. From 9 to 11 September, the [BC]2 Basel Computational Biology Conference, organized by the SIB Swiss Institute of Bioinformatics, will bring together international and Swiss-based scientists working in this field, in one of the key bioinformatics events in Europe: a prime opportunity to hear from leading experts, from precision oncology to infectious diseases.
Why is computational biology key?
Technological advances have brought us to the genomic era at full speed, with human sequence data flowing into global repositories at an exponential rate. When combined with the growing wealth of digital health records and clinical trials, these terabytes of data promise invaluable insights into the biological mechanisms of human health, aging and disease. However, without state-of-the-art computational methods, resources and solutions – including machine learning approaches – it is virtually impossible to extract knowledge from them, let alone to derive clinical applications. The [BC]2 Basel Computational Biology Conference precisely aims to foster the transfer of such know-how among today’s scientists.