TY - BOOK ID - 1737458 TI - Introduction to Computational Biology : An Evolutionary Approach AU - Haubold, Bernhard. AU - Wiehe, Thomas. PY - 2006 SN - 3764373873 PB - Basel : Birkhäuser Basel : Imprint: Birkhäuser, DB - UniCat KW - Computational biology. KW - Biology KW - Bioinformatics KW - Life sciences. KW - Information theory. KW - Bioinformatics. KW - Evolution (Biology). KW - Cytology. KW - Genetics KW - Life Sciences, general. KW - Theory of Computation. KW - Evolutionary Biology. KW - Cell Biology. KW - Genetics and Population Dynamics. KW - Mathematics. KW - Animal evolution KW - Animals KW - Biological evolution KW - Darwinism KW - Evolutionary biology KW - Evolutionary science KW - Origin of species KW - Evolution KW - Biological fitness KW - Homoplasy KW - Natural selection KW - Phylogeny KW - Bio-informatics KW - Biological informatics KW - Information science KW - Computational biology KW - Systems biology KW - Communication theory KW - Communication KW - Cybernetics KW - Cell biology KW - Cellular biology KW - Cells KW - Cytologists KW - Biosciences KW - Sciences, Life KW - Science KW - Embryology KW - Mendel's law KW - Adaptation (Biology) KW - Breeding KW - Chromosomes KW - Heredity KW - Mutation (Biology) KW - Variation (Biology) KW - Data processing KW - Computers. KW - Evolutionary biology. KW - Cell biology. KW - Biomathematics. KW - Mathematics KW - Automatic computers KW - Automatic data processors KW - Computer hardware KW - Computing machines (Computers) KW - Electronic brains KW - Electronic calculating-machines KW - Electronic computers KW - Hardware, Computer KW - Computer systems KW - Machine theory KW - Calculators KW - Cyberspace UR - https://www.unicat.be/uniCat?func=search&query=sysid:1737458 AB - Molecular biology has changed dramatically over the past two decades. Until the early 1990s genes were studied one at a time by small teams of researchers; today entire genomes are sequenced by internationally collaborating laboratories. In the bygone gene-centered era the accumulation of data was the rate-limiting step in research. Now that step is often data interpretation. This is increasingly dependent on computational methods and as a consequence, computational biology has emerged in the past decade as a new subdiscipline of biology. This introduction to computational biology is centered on the analysis of molecular sequence data. There are two closely connected aspects to biological sequences: (i) their relative position in the space of all other sequences, and (ii) their movement through this sequence space in evolutionary time. Accordingly, the first part of the book deals with classical methods of sequence analysis: pairwise alignment, exact string matching, multiple alignment, and hidden Markov models. In the second part evolutionary time takes center stage and phylogenetic reconstruction, the analysis of sequence variation, and the dynamics of genes in populations are explained in detail. In addition, the book contains a computer program with a graphical user interface that allows the reader to experiment with a number of key concepts developed by the authors. Introduction to Computational Biology is intended for students enrolled in courses in computational biology or bioinformatics as well as for molecular biologists, mathematicians, and computer scientists. Bernhard Haubold is associate professor at the University of Applied Sciences, Weihenstephan, Germany. Thomas Wiehe is associate professor at the University of Cologne, Germany. ER -