Limsoon Wong and Louxin Zhang, editors. SELECTED TOPICS IN POST-GENOME KNOWLEDGE DISCOVERY. Singapore University Press, March 2004.

Click here to order.

The National University of Singapore Institute for Mathematical Sciences organized a program on ``Post-Genome Knowledge Discovery'' from January to June 2002. The program focused on the computational and statistical analysis of sequence and genetic and the mathematical modeling of complex biological interactions, which are critical to the accurate annotation of genomic sequences, the study of the interplay between genes and proteins, and the study of the genetic variability of species. As part of the program, tutorials for graduate students and newcomers to this transdiciplinary area of research were given by experts of the field. In this volume, we have collected expanded write-ups of some of the tutorials that were given during the program. The topics include comparison and alignment of biological sequences, modeling and analysis of biological pathways, data mining and knowledge discovery from biological and clinical data.

Individual Source Files

title page: final-book.tex
table of contents: tableofcontents.tex
preface: preface.tex
chapter 1: chao-chap ("Dynamic Programming Strategies for Analyzing Biomolecular Sequences" by Kun-Mao Chao)
chapter 2: tomtang-chap ("Representation, Comparison, and Prediction of Protein Pathways" by John Tillighast, Yonghong Yang, Janice Au-Young, and Yuanhua Tang)
chapter 3: miyano-chap ("Gene Network Inference and Biopathway Modeling" by Satoru Miyano)
chapter 4: zaki-chap ("Data Mining Techniques" by Mohammed Zaki and Limsoon Wong)
style files: no-wordchapter.cls, rotating_rv.sty, url.tex.

Readership

Graduate students and researchers in knowledge discovery, statistical learning, computer algorithms, computer simulations, molecular biology, and genomics, who are newly attracted to the field of bioinformatics.