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    Understanding Bioinformatics
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    Understanding Bioinformatics

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    • Format
    • Bog, paperback, brugt
    • Engelsk
    • Stand
    • Næsten ubrugt med få synlige brugstegn
    • Leveringstid: 4-6 hverdage
      Forventet levering: 25-11-2024

    Beskrivelse

    Suitable for advanced undergraduates and postgraduates, Understanding Bioinformatics provides a definitive guide to this vibrant and evolving discipline. The book takes a conceptual approach. It guides the reader from first principles through to an understanding of the computational techniques and the key algorithms. Understanding Bioinformatics is an invaluable companion for students from their first encounter with the subject through to more advanced studies.

    The book is divided into seven parts, with the opening part introducing the basics of nucleic acids, proteins and databases. Subsequent parts are divided into 'Applications' and 'Theory' Chapters, allowing readers to focus their attention effectively. In each section, the Applications Chapter provides a fast and straightforward route to understanding the main concepts and 'getting started'. Each of these is then followed by Theory Chapters which give greater detail and present the underlying mathematics. In Part 2, Sequence Alignments, the Applications Chapter shows the reader how to get started on producing and analyzing sequence alignments, and using sequences for database searching, while the next two chapters look closely at the more advanced techniques and the mathematical algorithms involved. Part 3 covers evolutionary processes and shows how bioinformatics can be used to help build phylogenetic trees. Part 4 looks at the characteristics of whole genomes. In Parts 5 and 6 the focus turns to secondary and tertiary structure – predicting structural conformation and analysing structure-function relationships. The last part surveys methods of analyzing data from a set of genes or proteins of an organism and is rounded off with an overview of systems biology.

    The writing style of Understanding Bioinformatics is notable for its clarity, while the extensive, full-color artwork has been designed to present the key concepts with simplicity and consistency. Each chapter uses mind-maps and flow diagrams to give an overview of the conceptual links within each topic.

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    Detaljer
    • SprogEngelsk
    • Sidetal800
    • Udgivelsesdato06-09-2007
    • Forlag CRC Press Inc
    • FormatPaperback
    Sælgerinfo
    • Sælger ID124739
    Størrelse og vægt
  • Vægt2120 g
    • coffee cup img
    10 cm
    book img
    21,9 cm
    27,6 cm

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    Evolution XML Mutation Mass spectrometry Molecular biology Molecular dynamics. Molecular evolution. Ontology. Phylogeny Analysis Transcription Indexing Computational biology Bacteria Conformation Energy Scoring Modularity Visualization Docking Sequence Analysis Bioinformatics Proteomics Statistics Protein folding Nucleic acid Protein Structure Systems Biology Sequence alignment Protein Gap Probability Translation Recombination Hidden markov model Coiled Coil RNA-POLYMERASE Tertiary structure Primary structure Blast Data Classification Kinase Molecular clock Prediction Clustering Gap penalties Function optimization Sota Gene structure Support Vector Machine Robustness Annealing Potentials INTRON Algorithm Principal component analysis Binding site HMM Hashing Annotation Database Ligand Secondary structure Quantitative biology Thermodynamic Simulation DNA microarray Orpheus Relational database Biclustering DNA Sequence Threading Glimmer Amino acid Hierarchical cluster analysis Gibbs Eukaryote Redundancy Polypeptide Phylogenetic tree Neural network DNA structure EXON Force field Structural biology Homology Pearson correlation coefficient Homology Modeling Coils Protein microarray Primary data Émotif bistable switch Alpha Helix CAFASP Bayesian method CE method chaining Coiled-coil structure dicodon discriminants Cantor model Derived Data dot-plot Gene detection gene prediction GeneSplicer conserved region gene control Fitch-Margoliash method gradual sequence addition Euclidean distance Gamma distance correction GOR method DIALIGN interaction site EcoParse low-complexity region long-branch attraction problem Mahalanobis Distance flat-file database leucine zipper nonredundancy neighbor-joining method NetPlantGene GeneMark GenScan Output Layer Units Multiple Alignment PI3 Kinase P110a orthologous gene Position Specific Scoring Matrices p-distance protein interaction database position-specific matrix protein sequence motif Secondary Structure Prediction Secondary Structure Prediction Methods sequence database SH2 Domain Jukes q3 residue propensity splice site Local Alignments sequence pattern sequence realignment serial analysis of gene expression substitution alignment substitution matrix tree topology vector alignment search tool microarray database tRNA scan stepwise addition Needleman-Wunsch pairwise sequence alignment percentage identity Poisson distance correction reading frame Residue Types RNA structure Multiple Sequence Alignment Pfam nonparametric test self-organizing tree algorithm small ribosomal subunit RNA sequence quartet-puzzling methid Query Sequence sov value structural database structure comparison promoter region ribosome binding star-decomposition method Spice site Transmembrane Helix Suffix Tree UPGMA Method AACC
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