Bøker i Chapman & Hall/CRC Computational Biology Series-serien

The unprecedented amount of data produced with high-throughput experimentation forces biologists to employ mathematical representation and computation to glean meaningful information in systems-level biology. This book introduces the concepts and theories of systems biology and the applications of systems biology in cancer research.

Describing the characteristics and limitations of key algorithms, this book covers various aspects of chemoinformatics, including structure representation, molecular descriptors, similarity search, virtual screening, and structure-property model generation and validation.

A guide for applying basic informatics algorithms to medical data sets. It includes examples using three most common programming languages (Perl, Python, and Ruby). It provides basic methods for retrieving, organizing, merging, and analyzing their data sources. It covers building blocks, primary tasks of medical informatics, and medical discovery.