Linked Data Explorer

"Life in space and time; Evolution is the change over time in the world of living things; Dogmas: central and peripheral; Observables and data archives; Information flow in bioinformatics; Curation, annotation, and quality control; The World Wide Web; Electronic publication; Computers and computer science; Programming; Biological classification and nomenclature; Use of sequences to determine phylogenetic relationships; Use of SINES and UNES to derive phylogenetic relationships; Searching for similar sequences in data bases: PSI-BlAST; Introduction to protein structure; The hierarchical nature of protein architecture; Classification of protein structures; Protein structure prediction and engineering; Critical Assessment of Structure Prediction (CASP); Protein engineering; Proteomics; DNA microarrays; Mass spectrometry; Systems biology; Clinical implications; The future; Recommended reading: Exercises, Problems, and Weblems; Genome organization and evolution; Genomes and proteomes; Genes; Proteomes; Eavesdropping on the transmission of genetic information; Mappings between the maps; High-resolution maps; Picking out genes in genomes; Genomes of prokaryotes; The genome of the bacterium Escherichia coli; The genome of the archaeon Methanococcus jannaschii; The genome of one of the simplest organisms: Mycoplasma genitalium; Genomes of eukaryotes; The genome of Saccharomyces cerevisiae (baker's yeast); The genome of Caenorhabditis elegans; The genome of Drosophila melanogaster; The genome of Arabidopsis thaliana; The genome of Homo sapiens (the human genome); Protein coding genes; Repeat sequences; DNA; Single-nucleotide polymorphisms (SNPs); Genetic diversity in anthropology; Genetic diversity and personal identification; Genetic analysis of cattle domestication; Evolution of genomes; Please pass the genes: horizontal gene transfer; Comparative genomics of eukaryotes; Recommended reading; Exercises, Problems, and Weblems; Archives and information retrieval; Introduction; Database indexing and specification of search terms; Follow-up questions; Analysis of retrieved data; The archives; Nucleic acid sequence data bases; Genome databases; Protein sequence databases; Databases of structures; Specialized, or 'boutique' databases; Expression and proteomics databases; Databases of metabolic pathways; Bibliographic databases; Surveys of molecular biology databases and servers; Gateways to archives; Access to data bases in molecular biology; Entrez; The sequence retrieval system (SRS);The protein identification resource (PIR); ExPASy-Expert Protein Analysis System; Ensembl; Where do we go from here; Recommended reading; Exercises, Problems, and Weblems; Alignments and phylogenetic trees; Introduction to sequence alignment; The dotplot; Dotplots and sequence alignments; Measures of sequence similarity; Scoring schemes; Computing the alignment of two sequences; Variations and generalizations; Approximate methods for quick screening of data bases; The dynamic programming algorithm for optimal pairwise sequence alignment; Significance of alignments; Multiple sequence alignment; Applications of multiple sequence alignments to data base searching; Profiles; PSI-BLAST; Hidden Markov models; Phylogeny; Phylogenetic trees; Clustering methods; Cladistic methods; The problem of varying rates of evolution; Computational considerations; Recommended reading; Exercises, Problems, and Weblems; Protein structure and drug discovery; Introduction; Protein stability and folding; The Sasisekharan-Ramakrishnan-Ramachandran plot describes allowed mainchain conformations; The sidechains; Protein stability and denaturation; Protein folding; Applications of hydrophobicity; Superposition of structures, and structural alignments; DALI (Distance-matrix ALlgnment); Evolution of protein structures; Classifications of protein structures; SCOP; Protein structure prediction and modelling; Critical assessment of structure prediction (CASP); Secondary structure prediction; Homology modelling; Fold recognition; Conformational energy calculations and molecu!ar dynamics; ROSETTA; LlNUS; Assignment of protein structures to genomes; Prediction of protein function; Divergence of function: orthologues and paralogues; Drug discovery and development; The lead compound; Bioinformatics in drug discovery and development; Recommended reading; Exercises, Prob/ems, and Web/sem; Proteomics and systems biology; DNA microarrays; Ana!ysis of microarray data; Mass spectrometry; Identification of components of a complex mixture; Protein sequencing by mass spectrometry; Genome sequence analysis by mass spectrometry; Systems biology; NetWorks and graphs; Network structure and dynamics; Protein complexes and aggregates; Properties of protein-protein complexes; Protein interaction netWorks; Regulatory netWorks; Structures of regulatory networks; Structural biology of regulatory networks; Recommended reading; Exercises, Prob/ems, and Web/sem; Conclusions; Answers to Exercises; Glossary; Index; Colour plates."
"Fully revised and updated, the fourth edition of Introduction to Bioinformatics shows how bioinformatics can be used as a powerful set of tools for retrieving and analyzing this biological data, and how bioinformatics can be applied to a wide range of disciplines such as molecular biology, medicine, biotechnology, forensic science, and anthropology. This new edition contains two new chapters, with significantly increased coverage of metabolic pathways, and gene expression and regulation. Written for students without a detailed prior knowledge of programming, this book is the perfect introduction to the field of bioinformatics, providing friendly guidance and advice on how to use various methods and techniques. Additionally, frequent examples, self-test questions, problems, and exercises are incorporated throughout the text to encourage self-directed learning."
"Lesk provides an accessible and thorough introduction to a subject which is becoming a fundamental part of biological science today. The text generates an understanding of the biological background of bioinformatics."

genre

http://schema.org/genre

"Lehrbuch - Molekulare Bioinformatik"
"Electronic books"@en
"Leermiddelen (vorm)"
"Lehrbuch"
"Lehrbuch - Bioinformatik"
"Ressources internet"
"Matériel didactique"

name

http://schema.org/name

"Introduction to bioinformatics"
"Introduction to bioinformatics"@en
"Introduzione alla bioinformatica"@it
"Introduzione alla bioinformatica"
"Introduction to Bioinformatics"
"Introduction to Bioinformatics"@en
"生物資訊"
"Sheng wu zi xun"
"Bioinformatik : eine Einführung"

workExample

http://schema.org/workExample