Readership: All researchers (from post-graduates to professors) in the biomedical sciences. People doing taught post-graduate courses in bioinformatics. Computer database experts who create the genome databases. There is also potential for use by advanced undergraduates.
Minoru Kanehisa, Institute for Chemical Research, Kyoto University, Japan
""I would recommend this book to anyone as a very readable and relatively non-technical introduction to computational molecular biology" Statistical Methods in Medical Research"
""As a whole the first three chapters would make a valuable basis for tutorial discussions for a final-year graduate students in Bioinformatics." Journal of Cell Science"
Preface Blueprint of life Molecular biology databases - Historical background, Informatics technologies, New generation of molecular biology databases Sequence analysis of nucleic acids and proteins - Similarity search, Prediction of structures and functions Network analysis of molecular interactions - Network representation and computation, Principles of biochemical networks References and further reading
