Название: Computational Life Sciences: Data Engineering and Data Mining for Life Sciences
Автор: Jens Dorpinghaus, Vera Weil, Sebastian Schaaf
Издательство: Springer
Серия: Studies in Big Data
Год: 2023
Страниц: 593
Язык: английский
Формат: pdf (true)
Размер: 19.2 MB
This book broadly covers the given spectrum of disciplines in Computational Life Sciences, transforming it into a strong helping hand for teachers, students, practitioners and researchers. In Life Sciences, problem-solving and data analysis often depend on biological expertise combined with technical skills in order to generate, manage and efficiently analyse Big Data. These technical skills can easily be enhanced by good theoretical foundations, developed from well-chosen practical examples and inspiring new strategies. f you are interested in Data Science and Life Sciences in general, of if you want to consolidate your knowledge in these topics, of if you are interested in applications and evolving technologies in this field or if you just need an inspiration in order to approach your own problem at hand, we believe that this book offers you a strong helping hand. This book is divided into five parts. The first part, Solving Problems in Life Sciences: On Programming Languages and Basic Concepts, offers foundations on different topics. The first chapter is followed by an introduction to the programming language Java, including information of using collaborative tools like Git.