Practical Bioinformatician, The

Computer scientists have increasingly been enlisted as "bioinformaticians" to assist molecular biologists in their research. This book is a practical introduction to bioinformatics for these computer scientists. The chapters are in-depth discussions by expert bioinformaticians on both general techniques and specific approaches to a range of selected bioinformatics problems. The book is organized into clusters of chapters on the following topics:
• Overview of modern molecular biology and a broad spectrum of techniques from computer science — data mining, machine learning, mathematical modeling, sequence alignment, data integration, workflow development, etc.
• In-depth discussion of computational recognition of functional and regulatory sites in DNA sequences.
• Incisive discussion of computational prediction of secondary structure of RNA sequences.
• Overview of computational prediction of protein cellular localization, and selected discussions of inference of protein function.
• Overview of methods for discovering protein–protein interactions.
• Detailed discussion of approaches to gene expression analysis for the diagnosis of diseases, the treatment of diseases, and the understanding of gene functions.
• Case studies on analysis of phylogenies, functional annotation of proteins, construction of purpose-built integrated biological databases, and development of workflows underlying the large-scale-effort gene discovery.

Product details

• Assisted by: Limsoon Wong (Editor), Wong Limsoon (Editor)
• Authors: Limsoon Wong
• Publisher: World Scientific Publishing
• Content: Book
• Product form: Hardback
• Publication date: 25.05.2004
• Subject: Natural sciences, medicine, IT, technology > Medicine > General; Social sciences, law, business > Business > Advertising, marketing
• EAN: 9789812388469
• ISBN: 978-981-238-846-9
• Pages: 540
• Illustrations: Illustrations (some col.), ports.
• Subjects: COMPUTERS / Computer Science, SCIENCE / Life Sciences / Molecular Biology, SCIENCE / Life Sciences / Genetics & Genomics, computer science, molecular biology, Genetics (non-medical)