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For the analysis of computation in natural organisms, see Biological computation. Biological computers use biologically derived molecules — such as DNA and/or proteins — to perform digital or real computations . The development of biocomputers has been made possible by the expanding new science of nanobiotechnology.
Bioinformatics tools aid in comparing, analyzing and interpreting genetic and genomic data and more generally in the understanding of evolutionary aspects of molecular biology. At a more integrative level, it helps analyze and catalogue the biological pathways and networks that are an important part of systems biology.
Starting in 1990, by 1999, chromosome 22 became the first human chromosome to be completely sequenced. Computational biology refers to the use of data analysis, mathematical modeling and computational simulations to understand biological systems and relationships. [1] An intersection of computer science, biology, and big data, the field also ...
Modelling biological systems. Modelling biological systems is a significant task of systems biology and mathematical biology. [a] Computational systems biology [b] [1] aims to develop and use efficient algorithms, data structures, visualization and communication tools with the goal of computer modelling of biological systems.
Open Bioinformatics Foundation. BioPHP. PHP language toolkit with classes for DNA and protein sequence analysis, alignment, database parsing, and other bioinformatics tools. Cross-platform. GPL v2. Open Bioinformatics Foundation. Biopython. Python language toolkit. Cross-platform.
sbml .org. The Systems Biology Markup Language ( SBML) is a representation format, based on XML, for communicating and storing computational models of biological processes. [1] It is a free and open standard with widespread software support and a community of users and developers. SBML can represent many different classes of biological ...
e. In artificial intelligence, genetic programming ( GP) is a technique of evolving programs, starting from a population of unfit (usually random) programs, fit for a particular task by applying operations analogous to natural genetic processes to the population of programs. The operations are: selection of the fittest programs for reproduction ...
Artificial life ( ALife or A-Life) is a field of study wherein researchers examine systems related to natural life, its processes, and its evolution, through the use of simulations with computer models, robotics, and biochemistry. [1] The discipline was named by Christopher Langton, an American theoretical biologist, in 1986. [2]