Unleashing the Power of Data: Exploring Computational Biology
Rapid advances in technology and diverse areas of biology, such as high-throughput genomics, computational neuroscience, biopharma, medical and cellular imaging have led to the generation of massive amounts of data. Efficient computing platforms and tools, sophisticated measurement technologies, Cloud Computing and Artificial Intelligence have transformed life sciences and health care, enabling unprecedented interpretation of data and novel outcomes. The availability of massive data has dramatically transformed computational biology from a bioinformatics focus to biological data analysis and interpretation of data to unlock rich and hidden secrets of biological data. Computational biology holds massive potential as a method of understanding (and solving) biological and biomedical questions. With the emergence and advancement in Artificial Intelligence (AI) and Machine learning (ML) approaches, this field will not only play a collaborative role in other domains but also innovate new tools and computational technologies for biological data analysis.
Focus areas include:
- Big Data Biology
- Structural biology
- AI-based modelling