Bioinformatics

by Dilip K Arora (Editor), Randy Berka (Editor), Gautam B. Singh (Editor)

Overview

The advances in genomic technologies, such as microarrays and high throughput sequencing,have expanded the realm of possibilities for capturing data and analyzing it using automatedcomputer driven bioinformatics tools. With the completion of the sequencing of genomes ofhuman and several model organisms, a quest for scientific discoveries being fueled byintegrative and multidimensional techniques in mathematics and computational sciences. Inthis volume, leading researchers and experts have provided an overview of significantconcepts from biological, mathematical, and computational perspectives. It provides a high level view of fungal genomic data integration and annotation, classification of proteins and identification of vaccine targets, identification of secretome or secreted proteins in fungal genomes, as well as tools for analyzing microarray expressionprofiles.

• Provides a survey of theoretical underpinnings on the technological tools and applications
• Discusses the tools utilized for the annotation of fungal genomes and addresses issues related to automated annotation generation in a high throughput biotechnology environment
• Describes the applications of the concepts and methodologies presented throughout the book

Product Details

ISBN-13:	9780080463704
Publisher:	Elsevier Science
Publication date:	08/15/2006
Series:	ISSN , #6
Sold by:	Barnes & Noble
Format:	eBook
Pages:	350
File size:	10 MB

Table of Contents

Editorial Board for Volume 6

Contributors

Preface

Chapter 1: Experimental Design and Analysis of Microarray Data

Chapter 2: Methods for Protein Homology Modelling

Chapter 3: Phylogenetic Network Construction Approaches

Chapter 4: Issues in Comparative Fungal Genomics

Chapter 5: Fungal Genomic Annotation

Chapter 6: Bioinformatics Packages for Sequence Analysis

Chapter 7: A Survey of Computational Methods Used in Microarray Data Interpretation

Chapter 8: Computational Methods in Genome Research

Chapter 9: Creating Fungal Pathway/Genome Databases Using Pathway Tools

Chapter 10: Comparative Genomic Analysis of Glycoylation Pathways in Yeast, Plants and Higher eukaryotes

Chapter 11: Genomic Rearrangement and Disease LARaLINK 2.0: Datamining for Clinical Cytogenetics

Chapter 12: Sequence-Based Analysis of Fungal Secretomes

Chapter 13: Using Web Agents for Data Mining of Fungal Genomes

Chapter 14: Searching Biological Databases Using Biolinguistic Methods

Keyword Index