Bioinformatics: a practical approach
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.
What people are saying - Write a review
We haven't found any reviews in the usual places.
Two Common DNA Analysis Tools
SNP and Haplotype Analyses
15 other sections not shown
accession number Affymetrix algorithm allele alternative amino acid analysis analyze annotation array BioConductor bioinformatics Biojava biological Bioperl BLAST cancer candidate genes cell cluster column create database datasets default detection disease display domain Drug enzymes FASTA format field Figure filtering function gene expression Gene Ontology genetic genome Genome Browser haplotype HGNC human identify installation interaction interface JAVA match menu methods mice microarray data microRNA Microsoft Access Microsoft Excel miRNA molecular mouse mRNA multiple sequence alignment MySQL NCBI nucleotide options output PBEF peptide Perl phylogenetic prediction primer Probe set ID profiles protein microarrays protein sequence provides PTMs query retrieve SAGE Sample Data script server siRNA specific splicing spot spreadsheet statistical Step-By-Step Tutorial structure tags target template TextPad tion transcript UniProtKB values window