3.Biomedicine and Bioinformatics

　　The world is in the midst of an information and communication technological revolution that is transforming almost every aspect of our lives. The intersection of information technology and biotechnology has become critically important because of the vast amount of data involved in the study of biology. Bioinformatics is very much a discipline in expansion as evidenced by the convergence of Biology, Computer Science, Information and Communication Technology, Mathematics and Statistics. Bioinformatics highlights the application of statistics, data mining, artificial intelligence, neural networks, machine learning and natural language processing techniques to computationally difficult problems in molecular biology. It is dedicated to provide researchers the knowledge and skills necessary for the invention of algorithms and the creation of computational systems that facilitate the understanding of biological processes and application of these tools and methods to individuals and communities through public health and prevention programs. Meanwhile, advances in highthroughput biotechnology and novel bioassays at the single-cell level have fundamentally changed the way people study biology. Systems biology takes advantage of these vast amounts of data, and aims to study how the individual components of a biological systems coordinate using computational modeling at the transcriptional and proteomic levels. The interplay of bioinformatics and systems biology thus allows us to go beyond genomics to decipher how these DNA sequences dictate the complex functions in living organisms.