John Quackenbush

Alvis Brazma

Helen Causton

This guide covers aspects of designing microarray experiments and analysing the data generated, including information on some of the tools that are available from non-commercial sources. Concepts and principles underpinning gene expression analysis are emphasised and wherever possible, the mathematics has been simplified. The guide is intended for use by graduates and researchers in bioinformatics and the life sciences and is also suitable for statisticians who are interested in the approaches currently used to study gene expression. Microarrays are an automated way of carrying out thousands of experiments at once, and allows scientists to obtain huge amounts of information very quickly Short, concise text on this difficult topic area Clear illustrations throughout Written by well-known teachers in the subject Provides insight into how to analyse the data produced from microarrays

A Beginner's Guide

Microarray Gene Expression Data Analysis

Satoru Miyano

Tatsuya Akutsu

High-throughput sequencing and functional genomics technologies have given us the human genome sequence as well as those of other experimentally, medically, and agriculturally important species, thus enabling large-scale genotyping and gene expression profiling of human populations. Databases containing large numbers of sequences, polymorphisms, structures, metabolic pathways, and gene expression profiles of normal and diseased tissues are rapidly being generated for human and model organisms. Bioinformatics is therefore gaining importance in the annotation of genomic sequences; the understanding of the interplay among and between genes and proteins; the analysis of the genetic variability of species; the identification of pharmacological targets; and the inference of evolutionary origins, mechanisms, and relationships. This proceedings volume contains an up-to-date exchange of knowledge, ideas, and solutions to conceptual and practical issues of bioinformatics by researchers, professionals, and industry practitioners at the 6th Asia-Pacific Bioinformatics Conference held in Kyoto, Japan, in January 2008. Sample Chapter(s). Chapter 1: Recent Progress in Phylogenetic Combinatorics (185 KB). Contents: Recent Progress in Phylogenetic Combinatorics (A Dress); Predicting Nucleolar Proteins Using Support-Vector Machines (M Bod(r)n); Structure-Approximating Design of Stable Proteins in 2D HP Model Fortified by Cysteine Monomers (A H Khodabakhshi et al.); Seed Optimization Is No Easier than Optimal Golomb Ruler Design (B Ma & H Yao); Analysis of Structural Strand Asymmetry in Non-coding RNAs (J Wen et al.); Genome Halving with Double Cut and Join (R Warren & D Sankoff); Symbolic Approaches for Finding Control Strategies in Boolean Networks (C J Langmead & S K Jha); Optimal Algorithm for Finding DNA Motifs with Nucleotide Adjacent Dependency (F Y L Chin et al.); and other papers. Readership: Academics, researchers, and graduate students in bioinformatics and computer science.

Alvis Brazma

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