Integrative Bioinformatics for Biomedical Big Data

The volume and complexity of biological and biomedical research continues to grow exponentially with cutting-edge technologies such as high-throughput sequencing. Unfortunately, bioinformatics analysis is often considered only after data have been generated, which significantly limits the ability to make sense of complex big data. This unique book introduces the idea of No-Boundary Thinking (NBT) in biological and biomedical research, which aims to access, integrate, and synthesize data, information, and knowledge from bioinformatics to define important problems and articulate impactful research questions. This interdisciplinary volume brings together a team of bioinformatics specialists who draw on their own experiences with NBT to illustrate the importance of collaborative science. It will help stimulate discussion and application of NBT, and will appeal to all biomedical researchers looking to maximize their use of bioinformatics for making scientific discoveries.

• The first volume that examines the concept of no-boundary thinking (NBT) in biomedical research, it encourages interdisciplinary thinking from the outset so that research is hypothesis-driven rather than data-driven
• Includes current examples within particular fields of biomedical research and offers practical advice for the successful implementation of integrative approaches in research collaborations
• Discusses scientific problems surrounding the no-boundary thinking (NBT) approach