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245 00 $aBioinformatics Basics :$bApplications in Biological Science and Medicine /$cedited by Lukas K. Buehler, Hooman H. Rashidi.
250 $aSecond edition.
264 1 $aBoca Raton, FL :$bTaylor & Francis,$c2005.
300 $a1 online resource
336 $atext$btxt$2rdacontent
337 $acomputer$bc$2rdamedia
338 $aonline resource$bcr$2rdacarrier
504 $aIncludes bibliographical references and index.
588 0 $aOnline resource; title from PDF title page (EBSCO, viewed May 24, 2018).
505 0 $aCover -- Half Title -- Title Page -- Copyright Page -- Title Page -- 1: Biology and Information -- 1.1 Bioinformatics-A Rapidly Maturing Science -- 1.1.1 From Genes to Proteins -- 1.1.2 Bioinformatics in the Public Domain -- 1.2 Computers in Biology and Medicine -- 1.2.1 Computational Tools -- 1.2.2 Limitations of Computational Tools -- References -- 1.3 The Virtual Doctor -- 1.3.1 Mapping the Human Brain -- References -- 1.4 Biological Macromolecules as Information Carriers -- References -- 1.5 Proteins: From Sequence to Structure to Function -- 1.5.1 Molecular Interaction in Protein Structures -- 1.5.1.1 The Peptide Bond -- 1.5.1.2 Characteristics of the Peptide Bond -- 1.5.1.3 The Hydrophobic Effect and How It Contributes to Protein Folding -- 1.5.1.4 Electrostatic Interactions -- 1.5.1.5 Hydrogen Bonding -- 1.5.1.6 Conformational Entropy -- 1.5.1.7 Van der Waals Interactions (Packing) -- 1.5.1.8 Covalent Bonds (e.g., Disulfide Bridge) -- 1.5.2 Protein Functions -- 1.5.2.1 Enzymes -- 1.5.2.2 Regulatory Proteins -- 1.5.2.3 Storage -- 1.5.2.4 Transportation -- 1.5.2.5 Signaling -- 1.5.2.6 Immunity -- 1.5.2.7 Structural -- References -- 1.6 DNA and RNA Structure -- 1.6.1 The DNA Double Helix -- 1.6.2 Genomic Size of DNA -- References -- 1.7 DNA Cloning and Sequencing -- 1.7.1 DNA Cloning -- 1.7.2 Transcriptional Profiling -- 1.7.3 Positional Cloning and Chromosome Mapping -- 1.7.4 Polymerase Chain Reaction (PCR) -- 1.7.5 Sequencing Technologies -- References -- 1.8 Genes, Taxonomy, and Evolution -- References -- 2: Biological Databases -- 2.1 Biological Database Organization -- 2.1.1 Database Content and Management -- 2.1.2 Data Submissions -- 2.1.3 The Growth of Public Databases -- 2.1.4 Data Retrieval -- References -- 2.1.5 Data Annotation and Database Connectivity -- 2.1.5.1 Annotation -- 2.1.5.2 Redundancy -- 2.2 Public Databases.
505 8 $a2.2.1 National Center for Biotechnology Information (NCBI) -- 2.2.1.1 Who is Employed by NCBI? -- 2.2.1.2 What Kind of Research is Conducted at NCBI? -- 2.2.1.3 What Types of Databases are Supported by NCBI? -- 2.2.1.4 What Do We Mean by Redundancy? -- 2.2.1.5 What are Some of the Services Offered by NCBI? -- References -- 2.2.2 European Bioinformatics Institute (EBI) -- 2.2.2.1 Who is Employed by EBI? -- 2.2.2.2 What Kind of Research is Conducted at EBI? -- 2.2.2.3 What Are Some Of The Services Offered By EBI? -- References -- 2.2.3 Kyoto Encyclopedia of Genes and Genomes (KEGG) -- 2.2.3.1 Classification of Biological Molecules -- 2.2.3.2 Cellular Processes at KEGG -- References -- 2.3. Database Mining Tools -- 2.3.1 Sequence Similarity Search Tools: BLAST and FASTA -- 2.3.1.1 Shared Characteristics in Both Sequence Alignment Tools -- 2.3.1.2 How are Sequence Alignments Useful? -- 2.3.1.3 Basic Local Alignment Search Tool (BLAST) -- 2.3.2 An Overview of Database Sequence Searching -- References -- 2.3.3 Pattern Recognition Tools (Prosite) -- 2.3.3.1 The Significance of Embedded Symbols within Each Signature and How to Read and Construct Signatures -- References -- 2.3.4 Multiple Alignment and Phylogenetic Tree Analysis -- References -- 3: Genome Analysis -- 3.1 The Genomic Organization of Genes -- 3.1.1 What are Genomes? -- 3.1.2 Mapping and Navigating Genomes -- 3.1.2.1 Genetic Linkage Maps -- 3.1.2.2 Physical Maps -- 3.1.2.3 From Sequence Maps to Gene Function Maps -- References -- 3.1.2 The Genome Projects -- 3.1.2.1 How Many Genes are in a Genome? -- References -- 3.1.3 The Human Genome -- References -- 3.2 Comparative Genomics -- 3.2.1 Cluster of Orthologous Groups (COGs) -- 3.2.2 Homologene at NCBI -- 3.2.2.1 Gene Order and Chromosome Rearrangements -- 3.2.2.2 MapViewer -- References -- References -- 3.3 Functional Genomics.
505 8 $a3.3.1 The Transcriptome -- 3.4 Microarray and Bioarray Technology -- 3.4.1 Concept and Use -- 3.4.2 Summary of a Typical Experiment Using Microarray Technology -- 3.4.3 Microarray Bioinformatics -- 3.4.4 Image Processing -- References -- 3.4.5 Data Annotation -- References -- 3.4.6 Data Analysis -- 3.4.6.1 Experiment Design/Plan -- 3.4.6.2 Volume of Data -- 3.4.6.3 Dimensionality of Data -- 3.4.6.4 Quality of Data -- 3.4.7 Normalization -- 3.4.8 Statistical Analysis -- 3.4.9 Explorative Analysis -- 3.4.9.1 Aim of Clustering -- 3.4.9.2 Biological Interpretation of Clustering Results -- 3.4.9.3 Theory of Clustering -- 3.4.9.4 Clustering vs. Classification (Unsupervised vs. Supervised) -- 3.4.10 Main Types of Clustering -- 3.4.10.1 Hierarchical Clustering -- 3.4.10.2 Nonhierarchical Clustering -- 3.4.10.3 Other Clustering or Classification Algorithms -- 3.4.10.4 Advice on Using Clustering -- References -- 3.4.11 Data Storage -- References -- 3.4.12 Data Mining -- 3.4.13 Protein Arrays -- 3.4.14 Concluding Remarks -- 3.5 Genomes as Gene Networks -- References -- 4: Proteome Analysis -- 4.1 Proteomics -- 4.1.1 What is a Proteome? -- 4.1.1.1 2-D Gels and Mass Spectrometry Tools -- 4.1.1.2 2-D PAGE at Expasy (Swiss Bioinformatics Institute) -- References -- 4.2 Hydrodynamic Methods -- 4.2.1 Introduction -- 4.2.2 Analytical Ultracentrifugation -- 4.2.2.1 Experimental Setup and Instrumentation -- 4.2.2.2 Transport Processes in The AUC Cell -- 4.2.2.3 Analytical Ultracentrifuge (AUC) Experiments -- 4.2.3 Light Scattering -- 4.2.3.1 Experimental Setup and Instrumentation -- 4.2.3.2 Dynamic Light Scattering -- 4.2.3.3 Static Light Scattering -- 4.2.4 Global Analysis -- 4.2.5 Appendix -- References -- 4.3 Predictive Biology -- 4.3.1 Protein Structure Prediction -- 4.3.1.1 Structure Prediction Software -- References -- 4.3.2 Structural Genomics -- References.
505 8 $a4.3.3 Rational Drug Design -- References -- 4.4 Systems Biology -- 4.4.1 Protein Interaction Networks -- References -- 4.4.2 Metabolic Reconstruction -- References -- 5: The Bioinformatics Revolution in Medicine -- 5.1 Genes and Diseases -- 5.1.1 From Molecules to Diseases -- References -- 5.1.2 Online Mendelian Inheritance in Man (OMIM) -- References -- 5.1.3 Pharmacogenomics -- 5.2 Agricultural Genomics -- 5.2.1 Genetically Modified Organisms -- References -- 5.2.2 Biopharming -- References -- Appendix A: Glossary of Biological Terms -- Appendix B: Bioinformatics Web Sites -- Index.
520 3 $aEvery researcher in genomics and proteomics now has access to public domain databases containing literally billions of data entries. However, without the right analytical tools, and an understanding of the biological significance of the data, cataloging and interpreting the molecular evolutionary processes buried in those databases is difficult, if not impossible. The first editon of Bioinformatics Basics: Applications in Biological Science and Medicine answered the scientific community?s need to learn about the bioinformatic tools available to them. That the book continues to be a best seller clearly demonstrates the authors? ability to provide scientists with the understanding to apply those tools to their research. Currently, it is being used as a reference text at MIT and other prestigious institutions. Recognizing the important advances in bioinformatices since their last edition, Buehler and Rashidi have produced a completely revised and updated version of their pioneering work. To allow scientists to utilize significant databases from around the world, the authors consider some fresh approaches to data analysis while identifying computing techniques that will help them manage the massive flow of information their science requires. New to the second edition: Provides a more detailed view of the field while continuing to focus on the global concept approach that popularized the first edition. Offers the latest approaches to data analysis Introduces recent developments in genomics, microarrays, proteomics, genome mapping, and more. Adds two new sections offering insights from other experts in bioinformatics. Bioinformatics Basics is not intended to serve as a training manual for bioinformaticians. Instead, it?s designed to help the general scientific community gain a thorough understanding of what bioinformatics tools are available to them and the best ways these tools can be utilized and adapted to meet the needs of their specific interests and projects.
650 0 $aBioinformatics.
650 0 $aGene mapping.
650 0 $aLife sciences$xData processing.
650 0 $aGene mapping$xData processing.
650 0 $aComputational biology.
650 0 $aComputer science.
650 0 $aElectronic data processing.
650 12 $aComputational Biology
650 22 $aChromosome Mapping
650 22 $aElectronic Data Processing
650 22 $aSequence Analysis, DNA
650 6 $aBio-informatique.
650 6 $aSciences de la vie$xInformatique.
650 6 $aCartes chromosomiques$xInformatique.
650 6 $aCartes chromosomiques.
650 6 $aInformatique.
650 7 $adata processing.$2aat
650 7 $acomputer science.$2aat
650 7 $aSCIENCE$xLife Sciences$xBiochemistry.$2bisacsh
650 7 $aBioinformatics.$2fast$0(OCoLC)fst00832181
650 7 $aBioinformatik$2gnd
650 17 $aBio-informatica.$2gtt
655 4 $aElectronic books.
700 1 $aBuehler, Lukas K.,$eeditor.
700 1 $aRashidi, Hooman H.,$eeditor.
776 08 $iPrint version:$tBioinformatics Basics.$bSecond edition.$dBoca Raton, FL : Taylor & Francis, 2005$z9780849312830$z0849312833$w(DLC) 2005049421$w(OCoLC)60705710
856 40 $uhttp://www.columbia.edu/cgi-bin/cul/resolve?clio15132315$zTaylor & Francis eBooks
852 8 $blweb$hEBOOKS