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Introduction to Computational Biology: An Evolutionary Approach

US$4.99 US$34.00

Title (user) : Introduction to Computational Biology: An Evolutionary ApproachTitle (google) : Introduction to computational biology an evolutionary approachISBN : 3764367008,9783764367008GoogleBook ID : gylCAQAAIAAJEdition : 1st Corrected ed. 2006. Corr. 3rd printing 2007Authors (user) : Bernhard Haubold, Thomas WieheAuthors (google) : Bernhard Haubold,Thomas WiehePublisher : BirkhauserLanguage : EnglishPublication Date : 2006File Format : pdfCategories : Mathematics------------------------------------------Description...
Description

Title (user) : Introduction to Computational Biology: An Evolutionary Approach

Title (google) : Introduction to computational biology an evolutionary approach

ISBN : 3764367008,9783764367008

GoogleBook ID : gylCAQAAIAAJ

Edition : 1st Corrected ed. 2006. Corr. 3rd printing 2007

Authors (user) : Bernhard Haubold, Thomas Wiehe

Authors (google) : Bernhard Haubold,Thomas Wiehe

Publisher : Birkhauser

Language : English

Publication Date : 2006

File Format : pdf

Categories : Mathematics


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Description (user) :
Written with the advanced undergraduate in mind, this book introduces into the field of Bioinformatics. The authors explain the computational and conceptional background to the analysis of large-scale sequence data. Many of the corresponding analysis methods are rooted in evolutionary thinking, which serves as a common thread throughout the book. The focus is on methods of comparative genomics and subjects covered include: alignments, gene finding, phylogeny, and the analysis of single nucleotide polymorphisms (SNPs). The volume contains exercises, questions & answers to selected problems.


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Description (google) :
Molecular biology has changed dramatically over the past two decades. Until the early 1990s genes were studied one at a time by small teams of researchers; today entire genomes are sequenced by internationally collaborating laboratories. In the bygone gene-centered era the accumulation of data was the rate-limiting step in research. Now that step is often data interpretation. This is increasingly dependent on computational methods and as a consequence, computational biology has emerged in the past decade as a new subdiscipline of biology.

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