Deep Learning in Bioinformatics: Techniques and Applications in Practice, Second Edition introduces the topic in an easy-to-understand way, exploring how it can be utilized for addressing important problems in bioinformatics, including drug discovery, de novo molecular design, sequence analysis, protein structure prediction, gene expression regulation, protein classification, biomedical image processing and diagnosis, biomolecule interaction prediction, and in systems biology. The book also presents theoretical and practical successes of deep learning in bioinformatics, pointing out problems and suggesting future research directions. The Second Edition includes several new chapters, and the applications and examples have been updated for new Deep Learning advances and techniques throughout. Dr. Izadkhah provides valuable insights and will help researchers use deep learning techniques in their biological and bioinformatics studies. Introduces deep learning in an easy-to-understand wayPresents how deep learning can be utilized for addressing many important problems in bioinformaticsPresents the state-of-the-art algorithms in deep learning and bioinformaticsIntroduces deep learning libraries in bioinformatics