Bioinformatics
eBook - ePub

Bioinformatics

  1. 350 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Bioinformatics

About this 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 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.- 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- Describes the applications of the concepts and methodologies presented throughout the book

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Yes, you can access Bioinformatics by Dilip K Arora,Randy Berka,Gautam B. Singh in PDF and/or ePUB format, as well as other popular books in Biological Sciences & Bioinformatics. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover image
  2. Title page
  3. Table of Contents
  4. Front Matter
  5. Copyright page
  6. Editorial Board for Volume 6
  7. Contributors
  8. Preface
  9. Chapter 1: Experimental Design and Analysis of Microarray Data
  10. Chapter 2: Methods for Protein Homology Modelling
  11. Chapter 3: Phylogenetic Network Construction Approaches
  12. Chapter 4: Issues in Comparative Fungal Genomics
  13. Chapter 5: Fungal Genomic Annotation
  14. Chapter 6: Bioinformatics Packages for Sequence Analysis
  15. Chapter 7: A Survey of Computational Methods Used in Microarray Data Interpretation
  16. Chapter 8: Computational Methods in Genome Research
  17. Chapter 9: Creating Fungal Pathway/Genome Databases Using Pathway Tools
  18. Chapter 10: Comparative Genomic Analysis of Glycoylation Pathways in Yeast, Plants and Higher eukaryotes
  19. Chapter 11: Genomic Rearrangement and Disease LARaLINK 2.0: Datamining for Clinical Cytogenetics
  20. Chapter 12: Sequence-Based Analysis of Fungal Secretomes
  21. Chapter 13: Using Web Agents for Data Mining of Fungal Genomes
  22. Chapter 14: Searching Biological Databases Using Biolinguistic Methods
  23. Keyword Index