Forecasting is the process of making statements about events whose actual outcomes have not yet been observed. A more general term of forecasting is prediction. Prediction plays a very important role in our daily life. Its scope is extremely wide: weather forecasting, stock market prediction, supply-demand prediction, population forecasting, traffic prediction, protein-protein interaction prediction, etc. In order to facilitate our discussion, we can only include some topics that are widely being discussed and can reflect the interest of most people. Specifically, this book presents how...

A Practical Guide to Bioinformatics is suitable for advanced undergraduates and postgraduates. It takes a practical approach rather than conceptual approach and is an invaluable companion for students from their first encounter with the subject through to more advanced studies. The extensive and full-color artworks are designed to present the key concepts with simplicity, clarity and consistency. This book begins with discussing how to manage the data archives securely (Chapter 1). Data is one of the major and necessary components for bioinformatics analysis. This chapter gives us an overview...

According to W3C, the Semantic Web is a "web of data" that enables machines to understand the meaning (semantics) of the data/information presented in the World Wide Web. It extends the network of hyperlinked human-readable web pages by inserting machine-readable metadata about pages and how they are related to each other, enabling automated agents to access the Web more intelligently and perform tasks on behalf of users. With more research about semantic web in research organizations and in industry, the Semantic Web is quickly emerging as a well-recognized and important area of computer...

"Sequence and Genome Analysis: Methods and Applications II" is a continuation of our previous book, entitled "Sequence and Genome Analysis: Methods and Applications." Chapter 1 covers several aspects of protein structural motifs, including the procedures and approaches for detecting and associating protein structural motifs to functions, as well as the issues and limitations of the methodologies based on 3D motif for function prediction. Chapter 2 proposes a computationally efficient algorithm for identifying structural motifs. This algorithm considers the dynamic nature of the folding...