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Series on Advances in Bioinformatics and Computational Biology - Vol. 7
COMPUTATIONAL METHODS FOR UNDERSTANDING BACTERIAL AND ARCHAEAL GENOMES
edited by Ying Xu (University of Georgia, USA) & J Peter Gogarten (University of Connecticut, USA)
Over 500 prokaryotic genomes have been sequenced to date, and thousands more have been planned for the next few years. While these genomic sequence data provide unprecedented opportunities for biologists to study the world of prokaryotes, they also raise extremely challenging issues such as how to decode the rich information encoded in these genomes. This comprehensive volume includes a collection of cohesively written chapters on prokaryotic genomes, their organization and evolution, the information they encode, and the computational approaches needed to derive such information. A comparative view of bacterial and archaeal genomes, and how information is encoded differently in them, is also presented. Combining theoretical discussions and computational techniques, the book serves as a valuable introductory textbook for graduate-level microbial genomics and informatics courses.
Contents:
- General Characteristics of Prokaryotic Genomes and Replicons
- Genes
in Prokaryotic Genomes and Their Computational Prediction
- Reconstruction of Genetic Code Evolution History and Applications
- Dynamics of Prokaryotic Genome Evolution
- Mobile Genetic Elements and Their Predictions
- The Role of Gene Transfer in Microbial Evolution
- Genome Reduction During Prokaryotic Evolution
- Comparative Studies of Transcription and Regulation Signals in Bacteria and Archaea
- Computational Techniques for Orthologous Gene Prediction in Prokaryotes
- Computational Elucidation of Operons and Uber-Operons
- Prediction of Regulons Through Comparative Genome Analyses
- Prediction of Biological Pathways Through Data Mining and Information Fusion
- Microbial Pathway Models
- Metagenomics and Analysis
Readership: Graduate students and microbiologists in microbial genomics and
bioinformatics.
| 350pp (approx.) |
Pub. date: Scheduled Fall 2008 |
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