Computer science provides a powerful tool that was virtually unknown three generations ago. Computer science has changed the shape of many classical domains. Often domains have become more similar than before. On the other hand new applications have emerged that were technically…
This book discusses relevant principles needed to understand the theoretical underpinnings of bioinformatic analysis, and demonstrates with examples targeted analysis using freely available web-based software and publicly available databases.
Practical Computing for Biologists shows you how to use many freely available computing tools to work more powerfully and effectively. The book was born out of the authors' own experience in developing tools for their research and helping other biologists with their computationa…
Clear explanations of theory and design, broad coverage of models and real systems, and an up-to-date introduction to modern database technologies result in a leading introduction to database systems. Intended for computer science majors, this text emphasizes math models, design…
Clear explanations of theory and design, broad coverage of models and real systems, and an up-to-date introduction to modern database technologies result in a leading introduction to database systems. Intended for computer science majors, this text emphasizes math models, design…
A guideline on methods for analyzing foods, the organization and content of food composition tables and data bases, and procedures for the accurate international interchange of data. Focuses specifically on the issues involved in gathering, and estimating where necessary, the da…
This book is a cooperative attempt to ignite the human sparks of imagination and creativity, so that they can burn themselves into useful computer systems. The Scandinavian approach to system design has as its focal idea the involvement of workers, as users of technology, in the…
"This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience."--Back cover
