Bioinformatics for DNA Sequence Analysis

Bioinformatics for DNA Sequence Analysis
Author :
Publisher : Humana Press
Total Pages : 354
Release :
ISBN-10 : 1588299104
ISBN-13 : 9781588299109
Rating : 4/5 (04 Downloads)

Book Synopsis Bioinformatics for DNA Sequence Analysis by : David Posada

Download or read book Bioinformatics for DNA Sequence Analysis written by David Posada and published by Humana Press. This book was released on 2009-05-07 with total page 354 pages. Available in PDF, EPUB and Kindle. Book excerpt: The recent accumulation of information from genomes, including their sequences, has resultednotonlyinnewattemptstoansweroldquestionsandsolvelongstandingissues inbiology,butalsointheformulationofnovelhypothesesthatarisepreciselyfromthis wealth of data. The storage, processing, description, transmission, connection, and analysis of these data has prompted bioinformatics to become one the most relevant applied sciences for this new century, walking hand-in-hand with modern molecular biology and clearly impacting areas like biotechnology and biomedicine. Bioinformatics skills have now become essential for many scientists working with DNA sequences. With this idea in mind, this book aims to provide practical guidance andtroubleshootingadviceforthecomputationalanalysisofDNAsequences,covering a range of issues and methods that unveil the multitude of applications and relevance that Bioinformatics has today. The analysis of protein sequences has been purposely excludedtogainfocus.Individualbookchaptersareorientedtowardthedescriptionof theuseofspecificbioinformaticstools,accompaniedbypracticalexamples,adiscussion on the interpretation of results, and specific comments on strengths and limitations of the methods and tools. In a sense, chapters could be seen as enriched task-oriented manuals that will direct the reader in completing specific bioinformatics analyses. The target audience for this book is biochemists, and molecular and evolutionary biologiststhatwanttolearnhowtoanalyzeDNAsequencesinasimplebutmeaningful fashion. Readers do not need a special background in statistics, mathematics, or computer science, just a basic knowledge of molecular biology and genetics. All the tools described in the book are free and all of them can be downloaded or accessed throughtheweb.Mostchapterscouldbeusedforpracticaladvancedundergraduateor graduate-level courses in bioinformatics and molecular evolution.


Bioinformatics for DNA Sequence Analysis Related Books

Bioinformatics for DNA Sequence Analysis
Language: en
Pages: 354
Authors: David Posada
Categories: Science
Type: BOOK - Published: 2009-05-07 - Publisher: Humana Press

DOWNLOAD EBOOK

The recent accumulation of information from genomes, including their sequences, has resultednotonlyinnewattemptstoansweroldquestionsandsolvelongstandingissues i
Biological Sequence Analysis
Language: en
Pages: 372
Authors: Richard Durbin
Categories: Science
Type: BOOK - Published: 1998-04-23 - Publisher: Cambridge University Press

DOWNLOAD EBOOK

Probabilistic models are becoming increasingly important in analysing the huge amount of data being produced by large-scale DNA-sequencing efforts such as the H
Bioinformatics for DNA Sequence Analysis
Language: en
Pages: 354
Authors: David Posada
Categories: Science
Type: BOOK - Published: 2009-07-24 - Publisher: Humana Press

DOWNLOAD EBOOK

The recent accumulation of information from genomes, including their sequences, has resultednotonlyinnewattemptstoansweroldquestionsandsolvelongstandingissues i
Bioinformatics
Language: en
Pages: 762
Authors: David W. Mount
Categories: Computers
Type: BOOK - Published: 2004 - Publisher: CSHL Press

DOWNLOAD EBOOK

As more species' genomes are sequenced, computational analysis of these data has become increasingly important. The second, entirely updated edition of this wid
Bioinformatics
Language: en
Pages: 450
Authors: David Edwards
Categories: Science
Type: BOOK - Published: 2009-09-03 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

Bioinformatics is a relatively new field of research. It evolved from the requirement to process, characterize, and apply the information being produced by DNA