- 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.
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.
Physical and computational scientists, life scientists, and all those with mathematical, and computer backgrounds
Applied Mycology and Biotechnology
Hardbound, 350 Pages
- Editorial Board for Volume 6 Contents Contributors Preface SECTION A: PRINCIPLESExperimental Design and Analysis of Microarrary Data Method for Protein Homology Modelling Phylogenetic Network Construction Approaches Issues in Comparative Fungal Genomics SECTION B: TOOLSFungal Genomic Annotation Bioinformatics Packages for Sequence Analysis A Survey of Computational Methods Used in Microarray Data InterpretationComputational Methods in Genome Research Creating Fungal Pathway/Genome Databases Using Pathway Tools Comparative Genomic Analysis of Glycoylation Pathways in Yeast, Plants and Higher EukaryotesSECTION C: APPLICATIONSLARaLINK 2.0: Data Mining for Clinical CytogeneticsSequence-Based Analysis of Fungal Secretomes Using Web Agents for Data Mining of Fungal Genomes Searching Biological Databases Using Biolinguistic Methods Keyword Index