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[资源] 详解生命的奥秘▓▓ <<DNA Sequence Analysis>>▓▓

Posada_Bioinformatics for DNA Sequence Analysis

Preface
The recent accumulation of information from genomes, including their sequences, has resulted not only in new attempts to answer old questions and solve longstanding issues in biology, but also in the formulation of novel hypotheses that arise precisely from this 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 molecularbiology and clearly impacting areas like biotechnology and biomedicine.Bioinformatics skills have now become essential for many scientists working withDNA sequences. With this idea in mind, this book aims to provide practical guidanceand troubleshooting advice for the computational analysis ofDNA sequences, coveringa range of issues and methods that unveil the multitude of applications and relevance hat Bioinformatics has today. The analysis of protein sequences has been purposelyxcluded to gain focus. Individual book chapters are oriented toward the description ofthe use of specific bioinformatics tools, accompanied by practical examples, a discussion 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
biologists that want to learn how to analyzeDNA sequences in a simple butmeaningfulfashion. Readers do not need a special background in statistics, mathematics, orcomputer 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 through the web.Most chapters could be used for practical advanced undergraduate or graduate-level courses in bioinformatics and molecular evolution.

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