Bioinformatics and Functional Genomics, 2nd Edition
May 2009, Wiley-Blackwell
Widely received in its previous edition, Bioinformatics and Functional Genomics offers the most broad-based introduction to this explosive new discipline. Now in a thoroughly updated and expanded Second Edition, it continues to be the go-to source for students and professionals involved in biomedical research.
This edition provides up-to-the-minute coverage of the fields of bioinformatics and genomics. Features new to this edition include:
- Several fundamentally important proteins, such as globins, histones, insulin, and albumins, are included to better show how to apply bioinformatics tools to basic biological questions.
- A completely updated companion web site, which will be updated as new information becomes available - visit www.wiley.com/go/pevsnerbioinformatics
- Descriptions of genome sequencing projects spanning the tree of life.
- A stronger focus on how bioinformatics tools are used to understand human disease.
The book is complemented by lavish illustrations and more than 500 figures and tables—fifty of which are entirely new to this edition. Each chapter includes a Problem Set, Pitfalls, Boxes explaining key techniques and mathematics/statistics principles, Summary, Recommended Reading, and a list of freely available software. Readers may visit a related Web page for supplemental information at www.wiley.com/go/pevsnerbioinformatics.
Bioinformatics and Functional Genomics, Second Edition serves as an excellent single-source textbook for advanced undergraduate and beginning graduate-level courses in the biological sciences and computer sciences. It is also an indispensable resource for biologists in a broad variety of disciplines who use the tools of bioinformatics and genomics to study particular research problems; bioinformaticists and computer scientists who develop computer algorithms and databases; and medical researchers and clinicians who want to understand the genomic basis of viral, bacterial, parasitic, or other diseases.
Praise for the first edition:
"...ideal both for biologists who want to master the application of bioinformatics to real-world problems and for computer scientists who need to understand the biological questions that motivate algorithms." Quarterly Review of Biology
"… an excellent textbook for graduate students and upper level undergraduate students." Annals of Biomedical Engineering
"…highly recommended for academic and medical libraries, and for researchers as an introduction and reference…" E-Streams
Preface to the First Edition.
PART I ANALYZING DNA, RNA, AND PROTEIN SEQUENCES IN DATABASES.
2 Access to Sequence Data and Literature Information.
3 Pairwise Sequence Alignment.
4 Basic Local Alignment Search Tool (BLAST).
5 Advanced Database Searching.
6 Multiple Sequence Alignment.
7 Molecular Phylogeny and Evolution.
PART II GENOMEWIDE ANALYSIS OF RNA AND PROTEIN.
8 Bioinformatic Approaches to Ribonucleic Acid (RNA).
9 Gene Expression: Microarray Data Analysis.
10 Protein Analysis and Proteomics.
11 Protein Structure.
12 Functional Genomics.
PART III GENOME ANALYSIS.
13 Completed Genomes.
14 Completed Genomes: Viruses.
15 Completed Genomes: Bacteria and Archaea.
16 The Eukaryotic Chromosome.
17 Eukaryotic Genomes: Fungi.
18 Eukaryotic Genomes: From Parasites to Primates.
19 Human Genome.
20 Human Disease.
Answers to Self-Test Quizzes.
- Attractive two-color design throughout, with a section of full-color figures
- Lavishly illustrated, featuring over 500 figures and tables with 50 NEW figures and tables in this edition
- Highlights how the tools of bioinformatics can be used to further our understanding of basic processes in cell and molecular biology and genomics
- NEW to the second edition: Several fundamentally important proteins (such as histones, insulin, globins, and albumins) are included to better show how to apply bioinformatics tools to basic biological questions
- Strong focus on the relevance of bioinformatics tools to the understanding of human disease
- Each chapter includes a Problem Set, Pitfalls section, Boxes explaining key techniques and math/stats principles, Summary, Recommended Reading, and a list of freely available Software