or
Sign in to turn on 1-Click ordering.
or
Amazon Prime Free Trial required. Sign up when you check out. Learn More
Sell Back Your Copy
For a $3.92 Gift Card
Trade in
More Buying Choices
Have one to sell? Sell yours here
Handbook of Computational Molecular Biology (Chapman & Hall/CRC Computer & Information Science Series)
 
 
Tell the Publisher!
I'd like to read this book on Kindle

Don't have a Kindle? Get your Kindle here, or download a FREE Kindle Reading App.

Handbook of Computational Molecular Biology (Chapman & Hall/CRC Computer & Information Science Series) [Hardcover]

Srinivas Aluru (Editor)
5.0 out of 5 stars  See all reviews (2 customer reviews)

List Price: $157.95
Price: $142.16 & this item ships for FREE with Super Saver Shipping. Details
You Save: $15.79 (10%)
  Special Offers Available
o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o
In Stock.
Ships from and sold by Amazon.com. Gift-wrap available.
Only 1 left in stock--order soon (more on the way).
Want it delivered Tuesday, January 31? Choose One-Day Shipping at checkout. Details
Textbook Student FREE Two-Day Shipping for Students. Learn more


Book Description

1584884061 978-1584884064 December 21, 2005 1
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.


Special Offers and Product Promotions

  • Buy $50 in qualifying physical textbooks, get $5 in Amazon MP3 Credit. Here's how (restrictions apply)

Product Details

  • Hardcover: 1104 pages
  • Publisher: Chapman and Hall/CRC; 1 edition (December 21, 2005)
  • Language: English
  • ISBN-10: 1584884061
  • ISBN-13: 978-1584884064
  • Product Dimensions: 10.1 x 7.4 x 2.2 inches
  • Shipping Weight: 4.6 pounds (View shipping rates and policies)
  • Average Customer Review: 5.0 out of 5 stars  See all reviews (2 customer reviews)
  • Amazon Best Sellers Rank: #1,866,965 in Books (See Top 100 in Books)

 

Customer Reviews

2 Reviews
5 star:
 (2)
4 star:    (0)
3 star:    (0)
2 star:    (0)
1 star:    (0)
 
 
 
 
 
Average Customer Review
5.0 out of 5 stars (2 customer reviews)
 
 
 
 
Share your thoughts with other customers:
Most Helpful Customer Reviews

3 of 3 people found the following review helpful:
5.0 out of 5 stars Written by Leading Researchers, April 4, 2006
This review is from: Handbook of Computational Molecular Biology (Chapman & Hall/CRC Computer & Information Science Series) (Hardcover)
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.
Help other customers find the most helpful reviews 
Was this review helpful to you? Yes No


2 of 2 people found the following review helpful:
5.0 out of 5 stars The encyclopedia, January 21, 2006
This review is from: Handbook of Computational Molecular Biology (Chapman & Hall/CRC Computer & Information Science Series) (Hardcover)
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
Help other customers find the most helpful reviews 
Was this review helpful to you? Yes No

Share your thoughts with other customers: Create your own review
 
 
 
Only search this product's reviews



Inside This Book (learn more)
First Sentence:
The discovery of biomolecular sequences and exploring their roles, interplay, and common evolutionary history is fundamental to the study of molecular biology. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
consensus tree methods, implicit suffix tree, iterative signature algorithm, maximization diagram, vector space indexing, looped pedigrees, whole genotues, supertree methods, motif mining, sequence level comparison, tree packing problem, target protein sequence, branching tandem repeat, syntenic anchors, weight trace problem, inheritance vectors, suffix array, lexicographic position, spliced alignment, maximal exact matches, exhaustive local search, compatible completion, normalized local alignment, gene network inference, marriage graph
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Lecture Notes, Nucleic Acids Res, New York, Journal of Molecular Biology, National Academy of Sciences, International Conference, Genome Research, Journal of Computational Biology, Cambridge University Press, Combinatorial Pattern Matching, Springer Verlag, Genorne Research, Nature Genetics, American Journal of Human Genetics, Annual Symposium, Discrete Applied Mathematics, Academic Press, Oxford University Press, Journal of Algorithms, Menlo Park, Mol Biol, National Science Foundation, Proof Let, Information Processing Letters, Journal of Structural Biology
New!
Books on Related Topics | Concordance | Text Stats
Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Search Inside This Book:



What Other Items Do Customers Buy After Viewing This Item?


Tag this product

 (What's this?)
Think of a tag as a keyword or label you consider is strongly related to this product.
Tags will help all customers organize and find favorite items.
Your tags: Add your first tag
 

Sell a Digital Version of This Book in the Kindle Store

If you are a publisher or author and hold the digital rights to a book, you can sell a digital version of it in our Kindle Store. Learn more

Customer Discussions

This product's forum
Discussion Replies Latest Post
No discussions yet

Ask questions, Share opinions, Gain insight
Start a new discussion
Topic:
First post:
Prompts for sign-in
 


Active discussions in related forums
Search Customer Discussions
Search all Amazon discussions
   
Related forums


Listmania!


Create a Listmania! list

So You'd Like to...


Create a guide


Look for Similar Items by Category


Look for Similar Items by Subject