Introduction to computational genomics : a case studies approach

By:

Nello Cristianini; Matthew William Hahn

Material type: Text

TextPublication details: Cambridge University Press 2007Description: xvii, 182 pages : illustrations ; 26 cmISBN:

0521671914

Subject(s):

Genomics -Statistical methods. Computational biology. Genomics -Data processing. Genomics -methods. Computational Biology -methods

DDC classification:

572.86072 CRI-I

Contents:

he first look at a genome : sequence statistics -- All the sequence's men : gene finding -- All in the family : sequence alignment -- The boulevard of broken genes : hidden Markov methods -- Are Neanderthals among us? : variation within and between species -- Fighting HIV : natural selection at the molecular level -- SARS : a post-genomic epidemic : phylogenetic analysis -- Welcome to the hotel Chlamydia : whole genome comparisons -- The genomics of wine-making : analysis of gene expression -- A bed-time story : identification of regulatory sequences.

Summary: Are we related to Neanderthals? Where did SARS come from? Which part of our genome is evolving the fastest? These are some of the questions that can be answered by statistical and computational analysis of genetic data. This text presents an introduction to computational genomics.

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Holdings
Item type	Current library	Home library	Call number	Status	Date due	Barcode
Book	Dept. of Computational Biology and Bioinformatics Processing Center	Dept. of Computational Biology and Bioinformatics	572.86072 CRI-I (Browse shelf(Opens below))	Checked out to Seba (COB230503N)	26/07/2024	DCB537

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Previous	572.8602 KAS-L Large Scale Genomic Sequence Processing	572.860285 MAJ-M Methods for Computational Gene Prediction	572.860285 SOH-G Genome Annotation	572.86072 CRI-I Introduction to computational genomics : a case studies approach	572.8609 WIL-U Unravelling the double helix: The lost heroes of DNA	572.8629 WAN-N Next-Generation Sequencing Data Analysis	572.8629 WAN-N;1 Next-Generation Sequencing Data Analysis	Next

Are we related to Neanderthals? Where did SARS come from? Which part of our genome is evolving the fastest? These are some of the questions that can be answered by statistical and computational analysis of genetic data. This text presents an introduction to computational genomics.

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