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基本説明
Discusses the tools utilized for the annotation of fungal genomes and addresses issues related to automated annotation generation in a high throughput biotechnology environment.
Full 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 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.
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
