Bioinformatics : A Practical Approach

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An emerging, ever-evolving branch of science, bioinformatics has paved the way for the explosive growth in the distribution of biological information to a variety of biological databases, including the National Center for Biotechnology Information. For growth to continue in this field, biologists must obtain basic computer skills while computer specialists must possess a fundamental understanding of biological problems. Bridging the gap between biology and computer science, Bioinformatics: A Practical Approach assimilates current bioinformatics knowledge and tools relevant to the omics age into one cohesive, concise, and self-contained volume. Written by expert contributors from around the world, this practical book presents the most state-of-the-art bioinformatics applications. The first part focuses on genome analysis, common DNA analysis tools, phylogenetics analysis, and SNP and haplotype analysis. After chapters on microarray, SAGE, regulation of gene expression, miRNA, and siRNA, the book presents widely applied programs and tools in proteome analysis, protein sequences, protein functions, and functional annotation of proteins in murine models. The last part introduces the programming languages used in biology, website and database design, and the interchange of data between Microsoft Excel and Access. Keeping complex mathematical deductions and jargon to a minimum, this accessible book offers both the theoretical underpinnings and practical applications of bioinformatics.
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Product details

  • Electronic book text | 648 pages
  • Taylor & Francis Ltd
  • Chapman & Hall/CRC
  • London, United Kingdom
  • 263 Illustrations, black and white
  • 1584888113
  • 9781584888116

Table of contents

Genome and DNA Sequence Analysis Genome Analysis Genome structure analysis by genome browser Sequence similarity searching by BLAST Two Common DNA Analysis Tools Restriction mapping PCR application Phylogenetics Analysis Multiple sequence alignments Building phylogenetics tree SNP and Haplotype Analysis SNP analysis Haplotype analysis Transcriptome and RNA Sequence Analysis Gene Expression Profiling by Microarray Experimental design Data acquisition and preprocessing Data analysis Tutorial Gene Expression Profiling by SAGE SAGE experimentation SAGE data analysis Retrieve data from SAGE database Regulation of Gene Expression Alternative promoters Alternatively splicing Alternative translation initiation RNA editing MicroRNoma Genome-Wide Profiling by Microarray What are miRNAs? microRNAs and human diseases Significance of microRNA profiling Significance of microRNA CGH assay Genome-wide microRNA profiling by microarray RNAi Introduction of RNAi and siRNA Search for siRNA information Proteome and Protein Sequence Analysis Proteome Analysis Analyzing 2DE-derived data Analyzing mass spectrometry derived data Analyzing data derived from protein microarrays Protein Sequence Analysis Primary structure analysis Secondary and tertiary structure analysis Pattern and profile search Protein Function Analysis Protein function annotation Protein posttranslational modifications Protein-protein interactions Functional Annotation of Proteins in Murine Models Various murine models of human diseases Search for murine databases Basic Biocomputing Tools Application of Programming Languages in Biology Application of Perl in biology Application of R in biology Website and Database Design Personal website design Nuts and bolts of biological databases and their constructions Microsoft Excel and Access Microsoft Excel Microsoft Access Interchange data between Microsoft Excel and Access Appendices Abbreviations Selected glossary Websites for selected bioinformatics softwares Index
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