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Bioinformatics and the Cell: Modern Computational Approaches in Genomics, Proteomics and Transcriptomics
Edited by X Xia
Springer
2007
Hardcover 352 pp ISBN 9780387713366
£94.00
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Bioinformatics and the Cell is the first book with comprehensive numerical illustration of mathematical
techniques and computational algorithms used in bioinformatics to convert the rapidly increasing
molecular data into organized biological knowledge, with a focus on interactions among DNA,
RNA and proteins in the cell.The illustrated algorithms includes:
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- String matching algorithms with associated statistics
- Sequence alignment with the affine function and profile alignment for multiple sequence alignment
- Contig assembly algorithms
- Perceptrons
- Hidden Markov models
- Gibbs sampler
- Self-organizing map
- Algorithms in molecular phylogenetics
- EM algorithm for maximum likelihood calculation
- Monte Carlo integration and Markov chain Monte Carlo algorithms for Bayesian inference
- Mass deconvolution and computational methods for peptide mass fingerprinting
By rendering both mathematics and biology to numbers, this book should appeal not only to biologists,
but also to mathematicians, biostatisticians, and computational scientists, especially those younger ones
with an ambition to conquer the rough terrain of bioinformatics.
Of interest to researchers, graduate students, post docs in biology working in bioinformatics, genomics, proteomics
Contents
Preface
Acknowledgement
Chapter 1 BLAST and FASTA
Chapter 2 Sequence alignment
Chapter 3 Contig assembly
Chapter 4 DNA replication and viral evolution
Chapter 5 Gene and motif prediction
Chapter 6 Hidden Markov Models
Chapter 7 Gibbs Sampler
Chapter 8. Bioinformatics and vertebrate mitochondria
Chapter 9. Characterizing translation efficiency
Chapter 10 Protein isoelectric point
Chapter 11 Bioinformatics and Two-Dimensional Protein Separation.
Chapter 12 Self-Organizing Map and other clustering Algorithms
Chapter 13 Molecular Phylogenetics
Chapter 14 Fundamentals of Proteomics
Postscript
Index
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