Tuyển tập các báo cáo nghiên cứu về sinh học được đăng trên tạp chí y học Molecular Biology cung cấp cho các bạn kiến thức về ngành sinh học đề tài: Review of “Bioinformatics: A Computing Perspective” edited by Shuba Gopal, Anne Haake, Rhys Price Jones and Paul Tymann. | Algorithms for Molecular Biology BioMed Central Open Access Book report Review of Bioinformatics A Computing Perspective edited by Shuba Gopal Anne Haake Rhys Price Jones and Paul Tymann Dae-Won Kim and Hong-Seog Park Address Genome Research Center Korea Research Institute of Bioscience and Biotechnology Daejeon 305-806 Korea Email Dae-Won Kim - todaewon@ Hong-Seog Park - hspark@ Corresponding author Published 24 June 2009 Received 10 June 2009 Algorithms for Molecular Biology 2009 4 9 doi l748-7l 88-4-9 Accepted 24 June 2009 This article is available from http content 4 l 9 2009 Kim and Park licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License http licenses by which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. Book details Gopal S Haake A Jones RP Tymann P Bioinformatics A Computing Perspective McGraw-Hill 2009 460. Hardcover ISBN 978-007-126390-0 Overview The passion of scientists in interdisciplinary fields to understand living beings gave rise to the field of bioinformatics. These scientists employ a number of methodologies and tools to deal with massive amounts of biological data. Bioinformatics A Computing Perspective is a comprehensive compilation of biological basics computational methods and modern approaches for resolving biological problems well suited to individuals with background education in computer science. In addition this book provides long-running examples and discussions throughout the text to help students understand complex biological ideas. Contents This book consists of nine chapters. The first chapter provides a history of scientific works and a definition of bioinformatics. Topics include the organization and roles of a bioinformatics team and the challenges of computational algorithms in molecular biology. Chapter 2 .
