Bioinformatics





Contents

 * Foreword
 * Introduction


 * Part One: Molecular Biology
 * /The central dogma of molecular biology/
 * /DNA structure/
 * /RNA structure/
 * /Protein & Nucleic acid/
 * /Human Genome/


 * Part Two: Sequence Searches and Alignment
 * /Sequence Databases/
 * /Nucleic Acid Search Algorithms/
 * /Nucleic Acid Alignment Algorithms/
 * /Protein Alignment Algorithms/


 * Part Three: Phylogenetics
 * /Understanding Phylogenetic Trees/
 * /Distance Algorithms/
 * /Parsimony Algorithms/
 * /Likelihood Algorithms/
 * /Bayesian Algorithms/


 * Part Four: Genomics
 * /Whole Genome Assembly/
 * Part Five: Gene Expression
 * Part Six: Protein Structure
 * Protein Folding
 * Protein structure prediction
 * Secondary structure prediction
 * Homology modelling
 * De novo structure prediction
 * Contact Prediction
 * CASP
 * Part Seven: Proteomics
 * Part Eight: Metabolomics
 * Part Nine: Metagenomics


 * Part Ten: Biological sequences and biological diversity
 * Chemical diversity, arising from sequence diversity, allows biological diversity
 * How biological complexity is expressed in genomic differences
 * Biological sequence data indicate a common ancestor for all living things
 * Unique features of biological sequences derived from extremophiles
 * The genetic origins of oxygen adapted life, mitochondria and chloroplasts
 * The genetic origins of multi-cellularity
 * A living species is defined as much by genetic diversity as by the genome of any particular individual
 * How genetic variability within a species allows for speciation


 * Part Eleven: Other types of biological data
 * Medical informatics
 * Environmental or population data
 * Morphological data
 * Relational databases and biological data


 * Glossary