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Handbook of Computational Molecular Biology (Chapman & Hall/CRC Computer and Information Science Series)From Brand: Chapman and Hall/CRC
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The enormous complexity of biological systems at the molecular level must be answered with powerful computational methods. Computational biology is a young field, but has seen rapid growth and advancement over the past few decades. Surveying the progress made in this multidisciplinary field, the Handbook of Computational Molecular Biology offers comprehensive, systematic coverage of the various techniques and methodologies currently available.
Accomplished researcher Srinivas Aluru leads a team of experts from around the world to produce this groundbreaking, authoritative reference. With discussions ranging from fundamental concepts to practical applications, this book details the algorithms necessary to solve novel problems and manage the massive amounts of data housed in biological databases throughout the world. Divided into eight sections for convenient searching, the handbook covers methods and algorithms for sequence alignment, string data structures, sequence assembly and clustering, genome-scale computational methods in comparative genomics, evolutionary and phylogenetic trees, microarrays and gene expression analysis, computational methods in structural biology, and bioinformatics databases and data mining.
The Handbook of Computational Molecular Biology is the first resource to integrate coverage of the broad spectrum of topics in computational biology and bioinformatics. It supplies a quick-reference guide for easy implementation and provides a strong foundation for future discoveries in the field.
- Sales Rank: #4258246 in Books
- Brand: Brand: Chapman and Hall/CRC
- Published on: 2005-12-21
- Original language: English
- Number of items: 1
- Dimensions: 10.30" h x 2.53" w x 7.38" l, 4.52 pounds
- Binding: Hardcover
- 1104 pages
- Used Book in Good Condition
Review
It is to the credit of the author and publisher that they have been able to put together such a complete and well organized handbook this early. …Useful to the researcher looking for either an introduction to the field in general or go learn about areas outside his particular area of expertise.
-Books-On-Line
Most helpful customer reviews
3 of 3 people found the following review helpful.
Written by Leading Researchers
By John Matlock
Computational is a new and rapidly changing field as new research and techniques are being developed on an almost daily basis. It is to the credit of the author and publisher that they have been able to put together such a complete and well organized handbook this early.
Clearly this field is not ready for a standard text to have been developed, indeed it is clearly too much for even one writer. Instead, the editor calls this 'truly a community effort, with the chapters authored by leading researchers widely recognized for their research contributions and expertise.'
In all there are 38 specific chapters organized into eight major parts. The parts are: Sequence Alignments, String Data Strctures, Genome Assembly and EST Clustering, Genome-Scale Computational Methods, Microarrays and Gene Expression Analysis, Computatinal Structural biology, Bioinformatic Databases and Data Mining. The authors represent a who's who of the major American research establishments as well as from Germany, Italy, Russia, Canada, Japan, Isreal, and India.
The book could be used as a text but is probably more useful to the researcher looking for either an introduction to the field in general or go learn about areas outside his particular area of expertise.
2 of 2 people found the following review helpful.
The encyclopedia
By wiredweird
Bioinformatics is too big a field to cover in one book, but this thousand-pager comes close. Its 38 chapters give good summaries of just about every major topic in bioinformatics. Since the table of contents isn't visible here (as of this writing), I'll list the major headings into which the chapters are divided:
* Sequence alignments
* String data structures
* Genome assmebly and EST clustering
* Genome-scale computational methods
* Phylogenetics
* Microarrays and expression analysis
* Computational structural biology
* Bioinformatic databases and data mining
A few things are missing, such as RNA structure prediction and mass spec analysis of proteins. Regulatory networks get only brief mention, perhaps because the topic is still too researchy for any body of accepted practice. These are quibbles, though. The book does a very good job of providing brief surveys of many topics, with an extensive bibliography at the end of each chapter.
This doesn't replace other books that examine specific topics in greater depth. Instead, it provides quick surveys of many topics, and lots of pointers for further information. For the subjects it covers, it's a great starting point.
//wiredweird
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