An Introduction to Systems Biology: Design Principles of Biological Circuits builds a solid foundation for the intuitive understanding of general principles. It encourages the reader to ask why a system is designed in a particular way and then proceeds to answer with simplified models.
Bioinformatics For Dummies is packed with valuableinformation that introduces you to this exciting new discipline.This easy-to-follow guide leads you step by step through everybioinformatics task that can be done over the Internet. Forget longequations, computer-geek gibberish, and installing bulky programsthat slow down your computer. You’ll be amazed at all thethings you can accomplish just by logging on and following thesetrusty directions. You get the tools you need to:Analyze all types of sequencesUse all types of databasesWork with DNA and protein sequencesConduct similarity searchesBuild a multiple sequence alignmentEdit and publish alignmentsVisualize protein 3-D structuresConstruct phylogenetic trees
This up-to-date second edition includes newly created andpopular databases and Internet programs as well as multiple newgenomes. It provides tips for using servers and places to seekresources to find out about what’s going on in thebioinformatics world. Bioinformatics For Dummies will showyou how to get the most out of your PC and the right Web tools soyou’ll be searching databases and analyzing sequences like apro!
Developed from the author’s own teaching material, Algorithms in Bioinformatics: A Practical Introduction provides an in-depth introduction to the algorithmic techniques applied in bioinformatics. For each topic, the author clearly details the biological motivation and precisely defines the corresponding computational problems. He also includes detailed examples to illustrate each algorithm and end-of-chapter exercises for students to familiarize themselves with the topics. Supplementary material is available at http://www.comp.nus.edu.sg/~ksung/algo_in_bioinfo/
This classroom-tested textbook begins with basic molecular biology concepts. It then describes ways to measure sequence similarity, presents simple applications of the suffix tree, and discusses the problem of searching sequence databases. After introducing methods for aligning multiple biological sequences and genomes, the text explores applications of the phylogenetic tree, methods for comparing phylogenetic trees, the problem of genome rearrangement, and the problem of motif finding. It also covers methods for predicting the secondary structure of RNA and for reconstructing the peptide sequence using mass spectrometry. The final chapter examines the computational problem related to population genetics.
The book is complemented by lavish illustrations and more than 500 figures and tables - many newly-created for the third edition to enhance clarity and understanding. Each chapter includes learning objectives, a problem set, pitfalls section, boxes explaining key techniques and mathematics/statistics principles, a summary, recommended reading, and a list of freely available software. Readers may visit a related Web page for supplemental information such as PowerPoints and audiovisual files of lectures, and videocasts of how to perform many basic operations: www.wiley.com/go/pevsnerbioinformatics.
Bioinformatics and Functional Genomics, Third 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.