著者

書誌事項

Bioinformatics

edited by Dilip K. Arora, Randy M. Berka, Gautam B. Singh

(Applied mycology and biotechnology / edited by George G. Khachatourians, Dilip K. Arora, v. 6)

Elsevier, 2006

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注記

Includes bibliographical references and index

内容説明・目次

内容説明

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.

目次

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

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