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Bioinformatics is the name given to these mathematical and computing approaches used to glean understanding of biological processes. Common activities in bioinformatics include mapping and analyzing DNA and protein sequences, aligning DNA and protein sequences to compare them, and creating and viewing 3-D models of protein structures.
Biotechnology is the research and development in the laboratory using bioinformatics for exploration, extraction, exploitation, and production from any living organisms and any source of biomass by means of biochemical engineering where high value-added products could be planned (reproduced by biosynthesis, for example), forecasted, formulated ...
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.
Biological data visualization is a branch of bioinformatics concerned with the application of computer graphics, scientific visualization, and information visualization to different areas of the life sciences.
The National Center for Biotechnology Information (NCBI) [79] provides a large suite of online resources for biological information and data, including the GenBank nucleic acid sequence database and the PubMed database of citations and abstracts for published life science journals. Augmenting many of the Web applications are custom ...
Bioinformatics is a biweekly peer-reviewed open-access scientific journal covering research and software in bioinformatics and computational biology. It is the official journal of the International Society for Computational Biology (ISCB), together with PLOS Computational Biology .
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 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.