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BIOINFORMATICS, 6
Bioinformatics, 6
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Edited By
Dilip K Arora, Department of Botany, Banaras Hindu University, Varanasi, India
Randy Berka, Novozymes Biotech, Inc., Davis, CA, U.S.A.
Gautam Singh, Center for Bioinformatics, Department of Computer Science & Engineering, Oakland University, Rochester, MI, U.S.A.

Included in series
Applied Mycology and Biotechnology,

Description
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 automated computer driven bioinformatics tools. With the completion of the sequencing of genomes of human and several model organisms, a quest for scientific discoveries being fueled by integrative and multidimensional techniques in mathematics and computational sciences. In this volume, leading researchers and experts have provided an overview of significant concepts 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 expression profiles.

Audience
Physical and computational scientists, life scientists, and all those with mathematical, and computer backgrounds

Contents
Editorial Board for Volume 6 Contents Contributors Preface

SECTION A: PRINCIPLES
Experimental Design and Analysis of Microarrary Data Method for Protein Homology Modelling Phylogenetic Network Construction Approaches Issues in Comparative Fungal Genomics

SECTION B: TOOLS
Fungal Genomic Annotation Bioinformatics Packages for Sequence Analysis A Survey of Computational Methods Used in Microarray Data Interpretation Computational Methods in Genome Research Creating Fungal Pathway/Genome Databases Using Pathway Tools Comparative Genomic Analysis of Glycoylation Pathways in Yeast, Plants and Higher Eukaryotes SECTION C: APPLICATIONS

LARaLINK 2.0: Data Mining for Clinical Cytogenetics
Sequence-Based Analysis of Fungal Secretomes Using Web Agents for Data Mining of Fungal Genomes Searching Biological Databases Using Biolinguistic Methods Keyword Index

Bibliographic details
Hardbound, 350 pages, publication date: AUG-2006
ISBN-13: 978-0-444-51807-1
ISBN-10: 0-444-51807-X
Imprint: ELSEVIER

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Last update: 5 Sep 2009
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