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Bioinformatics - Applied Mycology and Biotechnology, Volume 6
Edited by Dilip K Arora, Randy Berka and Gautam B. Singh
Elsevier science
September 2006
Hardback 350 pp ISBN 9780444518071
£117.00
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- 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
- describing the applications of the concepts and methodologies presented throughout the book
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.
Of interest to 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
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