جزییات کتاب
"In this book, Andy Baxevanis and Francis Ouellette . . . have undertaken the difficult task of organizing the knowledge in this field in a logical progression and presenting it in a digestible form. And they have done an excellent job. This fine text will make a major impact on biological research and, in turn, on progress in biomedicine. We are all in their debt." -Eric Lander from the Foreword Reviews from the First Edition"...provides a broad overview of the basic tools for sequence analysis ... For biologists approaching this subject for the first time, it will be a very useful handbook to keep on the shelf after the first reading, close to the computer." -Nature Structural Biology"...should be in the personal library of any biologist who uses the Internet for the analysis of DNA and protein sequence data." -Science"...a wonderful primer designed to navigate the novice through the intricacies of in scripto analysis ... The accomplished gene searcher will also find this book a useful addition to their library ... an excellent reference to the principles of bioinformatics." -Trends in Biochemical SciencesThis new edition of the highly successful Bioinformatics: A Practical Guide to the Analysis of Genes and Proteins provides a sound foundation of basic concepts, with practical discussions and comparisons of both computational tools and databases relevant to biological research. Equipping biologists with the modern tools necessary to solve practical problems in sequence data analysis, the Second Edition covers the broad spectrum of topics in bioinformatics, ranging from Internet concepts to predictive algorithms used on sequence, structure, and expression data. With chapters written by experts in the field, this up-to-date reference thoroughly covers vital concepts and is appropriate for both the novice and the experienced practitioner. Written in clear, simple language, the book is accessible to users without an advanced mathematical or computer science background. This new edition includes: All new end-of-chapter Web resources, bibliographies, and problem sets Accompanying Web site containing the answers to the problems, as well as links to relevant Web resources New coverage of comparative genomics, large-scale genome analysis, sequence assembly, and expressed sequence tags A glossary of commonly used terms in bioinformatics and genomics Bioinformatics: A Practical Guide to the Analysis of Genes and Proteins, Second Edition is essential reading for researchers, instructors, and students of all levels in molecular biology and bioinformatics, as well as for investigators involved in genomics, positional cloning, clinical research, and computational biology. Content: Chapter 1 Bioinformatics and The Internet (pages 1–17): Andreas D. BaxevanisChapter 2 The NCBI Data Model (pages 19–43): James M. Ostell, Sarah J. Wheelan and Jonathan A. KansChapter 3 The GenBank Sequence (pages 45–63): Ilene Karsch?Mizrachi and B. F. Francis OuelletteChapter 4 Submitting DNA Sequences to the Databases (pages 65–81): Jonathan A. Kans and B. F. Francis OuelletteChapter 5 Structure Databases (pages 83–109): Christopher W. V. HogueChapter 6 Genomic Mapping and Mapping Databases (pages 111–153): Peter S. White and Tara C. MatiseChapter 7 Information Retrieval from Biological Databases (pages 155–185): Andreas D. BaxevanisChapter 8 Sequence Alignment and Database Searching (pages 187–214): Gregory D. SchulerChapter 9 Creation and Analysis of Protein Multiple Sequence Alignments (pages 215–232): Geoffrey J. BartonChapter 10 Predictive Methods Using DNA Sequences (pages 233–252): Andreas D. BaxevanisChapter 11 Predictive Methods Using Protein Sequences (pages 253–282): Sharmila Banerjee?Basu and Andreas D. BaxevanisChapter 12 Expressed Sequence Tags (ESTs) (pages 283–301): Tyra G. Wolfsberg and David LandsmanChapter 13 Sequence Assembly and Finishing Methods (pages 303–322): Rodger Staden, David P. Judge and James K. BonfieldChapter 14 Phylogenetic Analysis (pages 323–358): Fiona S. L. Brinkman and Detlef D. LeipeChapter 15 Comparative Genome Analysis (pages 359–392): Michael Y. Galperin and Eugene V. KooninChapter 16 Large?Scale Genome Analysis (pages 393–412): Paul S. MeltzerChapter 17 Using Perl to Facilitate Biological Analysis (pages 413–449): Lincoln D. Stein