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Biological computing. 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. The term nanobiotechnology can be defined in multiple ways; in a more general sense ...
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 has foundations in applied mathematics, chemistry, and genetics. [ 2]
This allows data to be conveyed in the short term, without consolidating anything for permanent storage. From here a memory or an association may be chosen to become a long-term memory, or forgotten as the synaptic connections eventually weaken. The switch from short to long-term is the same concerning both implicit memory and explicit memory.
As a field, biological computation can include the study of the systems biology computations performed by biota the design of algorithms inspired by the computational methods of biota, the design and engineering of manufactured computational devices using synthetic biology components and computer methods for the analysis of biological data ...
Process (computing) In computing, a process is the instance of a computer program that is being executed by one or many threads. There are many different process models, some of which are light weight, but almost all processes (even entire virtual machines) are rooted in an operating system (OS) process which comprises the program code ...
Approximate number system. Parallel individuation system. v. t. e. Overview of the forms and functions of memory. Memory is the faculty of the mind by which data or information is encoded, stored, and retrieved when needed. It is the retention of information over time for the purpose of influencing future action. [ 1]
Computational genomics refers to the use of computational and statistical analysis to decipher biology from genome sequences and related data, [1] including both DNA and RNA sequence as well as other "post-genomic" data (i.e., experimental data obtained with technologies that require the genome sequence, such as genomic DNA microarrays ). These ...
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. It involves the use of computer simulations of ...