Description

Biology has become a rich, data-intensive science dependent on complex, computational, and statistical methods, where machine learning and deep learning algorithms can be leveraged to provide novel insights for complex biological questions. Open Science has been instrumental in making these methods accessible to researchers while ensuring scientific results remain reproducible. This talk will discuss how open science practices can boost bioinformatics research and open new avenues for promoting scientific discovery by extending the principle of openness to the whole research cycle.