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Bioinformatics for DNA Sequence Analysis

Inglese · Copertina rigida

Spedizione di solito entro 6 a 7 settimane

Descrizione

Ulteriori informazioni

The storage, processing, description, transmission, connection, and analysis of the waves of new genomic data have made bioinformatics skills essential for scientists working with DNA sequences. In Bioinformatics for DNA Sequence Analysis, experts in the field provide practical guidance and troubleshooting advice for the computational analysis of DNA sequences, covering a range of issues and methods that unveil the multitude of applications and the vital relevance that the use of bioinformatics has today. Individual book chapters explore the use of specific bioinformatic tools, accompanied by practical examples, a discussion on the interpretation of results, and specific comments on strengths and limitations of the methods and tools. As a part of the highly successful Methods in Molecular Biology series, this work provides the kind of detailed description and implementation advice that is crucial for getting optimal results.

Focused and cutting-edge, Bioinformatics for DNA Sequence Analysis serves molecular biologists, geneticists, and biochemists as an enriched task-oriented manual, offering step-by-step guidance for the analysis of DNA sequences in a simple but meaningful fashion.
All the tools described in the book are free and all of them can be downloaded or accessed through the web. Most chapters could be used for practical advanced undergraduate or graduate-level courses in bioinformatics and molecular evolution.

Riassunto

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.

Dettagli sul prodotto

Con la collaborazione di David Posada (Editore), Davi Posada (Editore)
Editore Springer, Berlin
 
Contenuto Libro
Forma del prodotto Copertina rigida
Data pubblicazione 26.07.2011
Categoria Scienze naturali, medicina, informatica, tecnica > Biologia
 
EAN 9781588299109
ISBN 978-1-58829-910-9
Numero di pagine 354
Illustrazioni XIV, 354 p. 151 illus.
Dimensioni (della confezione) 19.3 x 26 cm
Peso (della confezione) 1’900 g
 
Serie Methods in Molecular Biology > 537
Springer Protocols
Methods in Molecular Biology
Springer Protocols
Categorie B, Genetik, Medizin, Genome, Data, bioinformatics, SNP, Human Genetics, Biomedical and Life Sciences, Medical Genetics, Information technology: general issues, genes, sequence analysis, Promoter, Statistics and mathematics
 

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