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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 Biopython project is an open-source collection of non-commercial Python tools for computational biology and bioinformatics, created by an international association of developers. [1] [4] [5] It contains classes to represent biological sequences and sequence annotations, and it is able to read and write to a variety of file formats.
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.
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 ...
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 ...
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
Clustering is central to much data-driven bioinformatics research and serves as a powerful computational method whereby means of hierarchical, centroid-based, distribution-based, density-based, and self-organizing maps classification, has long been studied and used in classical machine learning settings.