Database Sys with Dbase Place Code or Understanding Bioinformatics

Database Sys with Dbase Place Code

Author: Thomas Connolly

This book places a strong emphasis on good design practice, allowing readers to master design methodology in an accessible, step-by-step fashion. In this book, database design methodology is explicitly divided into three phases: conceptual, logical, and physical. Each phase is described in a separate chapter with an example of the methodology working in practice. Extensive treatment of the Web as an emerging platform for database applications is covered alongside many code samples for accessing databases from the Web including JDBC, SQLJ, ASP, ISP, and Oracle's PSP. A thorough update of later chapters covering object-oriented databases, Web databases, XML, data warehousing, data mining is included in this new edition. A clear introduction to design implementation and management issues, as well as an extensive treatment of database languages and standards, make this book an indispensable, complete reference for database professionals.

Look this: Anlagengebäude & Gemeinschaftsentwicklung

Understanding Bioinformatics

Author: Market Zvelebil

Suitable for advanced undergraduates and graduates, Understanding Bioinformatics provides a definitive guide to this vibrant and evolving discipline. The book takes a conceptual approach, guiding 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 sections, with the opening section introducing the basics of nucleic acids, proteins and databases. Subsequent sections 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 Section 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. Section 3 covers evolutionary processes and shows how bioinformatics can be used to help build phylogenetic trees. Section 4 looks at the characteristics of whole genomes. In Sections 5 and 6 the focus turns to secondary and tertiary structure - predicting structural conformation and analyzing structure-function relationships. The last section surveys methods of analyzing data from a set of genes orproteins of an organism and is rounded off with an overview of systems biology.

The emphasis throughout Understanding Bioinformatics is on guiding the reader through the subject matter. The writing style is notable for its clarity, while the extensive, full-color artwork has been designed to present the key concepts with simplicity and consistency.

Table of Contents:

SECTION 1 Background Basics
1: Nucleic Acid World
2: Protein Structure
3: Dealing with Databases

SECTION 2 Sequence Alignments
4: Producing and Analyzing Sequence Alignments
5: Pairwise Sequence Alignment
6: Patterns, Profiles and Multiple Alignments

SECTION 3 Evolutionary Processes
7: Recovering Evolutionary History
8: Building Phylogenetic Trees

SECTION 4 Genome Characteristics
9: Revealing Genome Features
10: Principles of Genome Annotation

SECTION 5 Secondary Structures
11: Obtaining Secondary Structure from Sequence
12: Predicting Secondary Structures

SECTION 6 Tertiary Structures
13: Modeling Protein Structure
14: Analyzing Structure-Function Relationships

SECTION 7 Cells and Organisms
15: Proteome and Gene Expression Analysis
16: Clustering Methods and Statistics
17: Systems Biology

APPENDICES Background Theory
Appendix A: Probability and Bayesian Analysis
Appendix B: Molecular Energy Functions
Appendix C: Function Optimization