Biological evolution, the theory of natural selection and of common descent, is a triumph both of human reasoning and scientific undertaking. The biological discipline of evolution contains both a chronicle of human endeavour and the story of life on Earth. This book is concerned with living forms and how they developed from 'simple and unpromising beginnings'. It considers evolution as both process and product. The author, an experienced teacher and educator, employs a historical narrative, used to convey the idea of 'change with modification' and to emphasise the relevance of evolution to contemporary bioscience. Biological evolution has now become part of the scientific orthodoxy and this accessible text will assist undergraduate students in the biological sciences within any ongoing debate.
Protocol Handbook for Cancer Biology brings together a comprehensive collection of the methods used for cancer assessment, diagnostics, and therapeutics. Various protocols are discussed along with alternative strategies, including the advantages and limitations of techniques that have been used in labs globally. These protocols are presented by cancer biology experts based on their real-world experience. The protocols in this book will be a valuable resource for cancer researchers and graduate students, who can utilize the techniques described to conduct research more efficiently and successfully. Presents comprehensive protocols used for cancer assessment, diagnostics, and therapeutics all in one place Encompasses alternative strategies considering the requirements of the end user and taking into consideration diverse research settings Discusses limitations and advantages of each method in experimental design and execution, thus saving time during the research process
Data Processing Handbook for Complex Biological Data provides relevant and to the point content for those who need to understand the different types of biological data and the techniques to process and interpret them. The book includes feedback the editor received from students studying at both undergraduate and graduate levels, and from her peers. In order to succeed in data processing for biological data sources, it is necessary to master the type of data and general methods and tools for modern data processing.