Computational biology 149353 191836806 2008-02-16T12:05:19Z DHN-bot 575307 robot Adding: [[vi:Sinh học tính toán]] {{ distinguish|Biologically-inspired computing }} '''Computational biology''' is an interdisciplinary field that applies the techniques of [[computer science]], [[applied mathematics]], and [[statistics]] to address problems inspired by [[biology]]. Major fields in biology that use computational techniques include: * [[Bioinformatics]], which applies [[algorithm]]s and [[statistics|statistical techniques]] to biological datasets that typically consist of large numbers of [[DNA]], [[RNA]], or [[protein]] sequences. Examples of specific techniques include [[sequence alignment]], which is used for both sequence database searching and for comparison of [[homology (biology)|homologous]] sequences; [[gene finding]]; and prediction of [[gene expression]]. (The term ''computational biology'' is sometimes used as a synonym for bioinformatics.) * [[Computational biomodeling]], a field within [[biocybernetics]] concerned with building computational models of biological systems. * [[Computational genomics]], a field within [[genomics]] which studies the [[genome]]s of cells and organisms by high-throughput [[genome sequencing]] that requires extensive post-processing known as [[genome assembly]], and which uses [[DNA microarray]] technologies to perform statistical analyses on the genes expressed in individual cell types. * [[Molecular modeling]], a field dealing with theoretical methods and computational techniques to [[model (abstract)|model]] or mimic the behaviour of [[molecule]]s, ranging from descriptions of a molecule of few atoms, to small chemical systems, to large biological molecules and material assemblies. * [[Systems biology]], which aims to model large-scale biological interaction networks (also known as the [[interactome]]), often using [[differential equation]]s. * [[Protein structure prediction]] and [[structural genomics]], which attempt to systematically produce accurate structural models for three-dimensional [[protein structure]]s that have not been solved experimentally. * Computational [[biochemistry]] and [[biophysics]], which make extensive use of structural modeling and simulation methods such as [[molecular dynamics]] and [[Monte Carlo method]]-inspired [[Boltzmann distribution|Boltzmann sampling]] methods in an attempt to elucidate the [[kinetics]] and [[thermodynamics]] of protein functions. ==External links== {{wiktionarypar|computational|biology}} *[http://cnls.lanl.gov/q-bio/ The First q-bio Conference on Cellular Information Processing] - A conference in Santa Fe NM (Aug 8-11, 2007) focused on modeling of genetic regulatory and signal transduction systems and quantitatitve experimentation *http://www.embnet.org/ The First Bioinformatics network, celebrates 20 years 2008. *[http://www.physiome.ox.ac.uk/ The Wellcome Trust Heart Physiome Project] - Links *[http://compbiol.plosjournals.org/ PLoS Computational Biology] - A Peer-Reviewed Open-Access Journal *[http://computationalbiologynews.blogspot.com/ Computational Biology News] *[http://bioinf.cs.auckland.ac.nz/ Computational Biology and Evolution] — a heady mix of computational science, evolutionary biology and other things that matter [[Category:Bioinformatics]] [[Category:Computational science]] {{biology-stub}} {{compsci-stub}} [[ar:علم الأحياء الحاسوبي]] [[es:Biología computacional]] [[ko:전산생물학]] [[ja:計算生物学]] [[pt:Biologia Computacional]] [[ru:Вычислительная биология]] [[vi:Sinh học tính toán]]