Understanding Bioinformatics

Voorkant
Garland Science, 2008 - 772 pagina's

Suitable for advanced undergraduates and postgraduates, Understanding Bioinformatics provides a definitive guide to this vibrant and evolving discipline. The book takes a conceptual approach. It guides the reader from first principles through to an understanding of the computational techniques and the key algorithms. Understanding Bioinformatics is an invaluable companion for students from their first encounter with the subject through to more advanced studies.

The book is divided into seven parts, with the opening part introducing the basics of nucleic acids, proteins and databases. Subsequent parts are divided into 'Applications' and 'Theory' Chapters, allowing readers to focus their attention effectively. In each section, the Applications Chapter provides a fast and straightforward route to understanding the main concepts and 'getting started'. Each of these is then followed by Theory Chapters which give greater detail and present the underlying mathematics. In Part 2, Sequence Alignments, the Applications Chapter shows the reader how to get started on producing and analyzing sequence alignments, and using sequences for database searching, while the next two chapters look closely at the more advanced techniques and the mathematical algorithms involved. Part 3 covers evolutionary processes and shows how bioinformatics can be used to help build phylogenetic trees. Part 4 looks at the characteristics of whole genomes. In Parts 5 and 6 the focus turns to secondary and tertiary structure - predicting structural conformation and analysing structure-function relationships. The last part surveys methods of analyzing data from a set of genes or proteins of an organism and is rounded off with an overview of systems biology.

The writing style of Understanding Bioinformatics is notable for its clarity, while the extensive, full-color artwork has been designed to present the key concepts with simplicity and consistency. Each chapter uses mind-maps and flow diagrams to give an overview of the conceptual links within each topic.

 

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Inhoudsopgave

Background Basics
1
base pairing to form a double helix
7
20
52
Sequence Alignments
69
APPLICATIONS CHAPTER
71
81
103
Pairwise Sequence Alignment and Database Searching Theory Chapter
115
109
153
Predicting Secondary Structures Theory Chapter
461
248
468
Tertiary Structures
519
better models
539
144
560
Analyzing StructureFunction Relationships Applications Chapter
567
547
575
554
583

THEORY CHAPTER
160
Patterns Profiles and Multiple Alignments Theory Chapter
165
126
178
127
185
135
193
84
219
Evolutionary Processes
221
Building Phylogenetic Trees Theory Chapter
267
239
286
Genome Characteristics
315
310
347
Summary
354
Gene Detection and Genome Annotation Theory Chapter
357
323
364
Secondary Structures
409
Scoring functions are used to identify the most
590
Cells and Organisms
597
Clustering Methods and Statistics
626
independent methods
650
Systems Biology
668
systems biology
678
APPENDICES Background Theory
695
Function Optimization
709
249
751
255
758
491
761
680
762
615
766
618
772
Copyright

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Over de auteur (2008)

Marketa Zvelebil is the team leader of cancer informatics at The Breakthrough Toby Robins Breast Cancer Research Centre.

Jeremy O. Baum is an Honorary Teaching Fellow in the School of Crystallography, Birkbeck College.

Bibliografische gegevens