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While each field is distinct, there may be significant overlap at their interface, [1] so much so that to many, bioinformatics and computational biology are terms that are used interchangeably. The terms computational biology and evolutionary computation have a similar name, but are not to be confused. Unlike computational biology, evolutionary ...
The concept of biological computation proposes that living organisms perform computations, and that as such, abstract ideas of information and computation may be key to understanding biology.
The Computational Biology taskforce is aimed at improving and organising articles on computational biology, bioinformatics, systems biology and related topics. More broadly, the taskforce aims to increase participation of computational biology researchers in English Wikipedia and other Wikimedia projects, as well as cultivate Wikipedia-related ...
A more restrictive definition views nanobiotechnology more specifically as the design and engineering of proteins that can then be assembled into larger, functional structures [2] [3] The implementation of nanobiotechnology, as defined in this narrower sense, provides scientists with the ability to engineer biomolecular systems specifically so ...
Bioinformatics uses biology, chemistry, physics, computer science, computer programming, information engineering, mathematics and statistics to analyze and interpret biological data. The process of analyzing and interpreting data can sometimes be referred to as computational biology, however this distinction between the two terms is often ...
Journal of Bioinformatics and Computational Biology; Journal of Biomedical Informatics; Journal of Computational Biology; Journal of Mathematical Biology; Journal of Theoretical Biology; PLOS Computational Biology; Source Code for Biology and Medicine; Statistical Applications in Genetics and Molecular Biology; Statistics in Biosciences
Bioimage informatics is a subfield of bioinformatics and computational biology. [1] It focuses on the use of computational techniques to analyze bioimages, especially cellular and molecular images, at large scale and high throughput. The goal is to obtain useful knowledge out of complicated and heterogeneous image and related metadata.
As such, computational genomics may be regarded as a subset of bioinformatics and computational biology, but with a focus on using whole genomes (rather than individual genes) to understand the principles of how the DNA of a species controls its biology at the molecular level and beyond. With the current abundance of massive biological datasets ...
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