Handbook of Computational Molecular Biology

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advanced computational genomics techniques
alignment
BAC Clone
bioinformatics algorithms
biological data mining
Category=PSD
Computational Molecular Biology
Dataset
DNA Array
DNA Sequence
Edge Labels
Edit Distances
eq_bestseller
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eq_isMigrated=2
eq_nobargain
eq_non-fiction
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EST Database
EST Sequence
evolutionary tree methods
Gap Penalties
Gap Penalty Functions
gene expression profiling
Gene Regulatory Networks
genome
global
Global Alignment
hidden
Internal Node
local
Local Alignment
markov
model
MP
multiple
Multiple Alignment
Multiple Sequence Alignment
Optimal Alignment
Pairwise Alignments
Phylogeny Reconstruction
Secondary Structure Prediction
Sequence Alignment
sequence data analysis
Sequence S1
sequencing
single
structural genomics
Supertree Method

Product details

  • ISBN 9781584884064
  • Weight: 1700g
  • Dimensions: 178 x 254mm
  • Publication Date: 21 Dec 2005
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Product Form: Hardback
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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.