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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.
Bioengineering is the application of the principles of engineering and natural sciences to tissues, cells, and molecules. This can be considered as the use of knowledge from working with and manipulating biology to achieve a result that can improve functions in plants and animals. [12]
Osteology (from Greek ὀστέον (ostéon) 'bones' and λόγος (logos) 'study') is the scientific study of bones, practised by osteologists. A subdiscipline of anatomy, anthropology, and paleontology, osteology is the detailed study of the structure of bones, skeletal elements, teeth, microbone morphology, function, disease, pathology ...
v. t. e. Cell biology (also cellular biology or cytology) is a branch of biology that studies the structure, function, and behavior of cells. [ 1][ 2] All living organisms are made of cells. A cell is the basic unit of life that is responsible for the living and functioning of organisms. [ 3] Cell biology is the study of the structural and ...
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 ...
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.
Cell biology – A branch of biology that includes study of cells regarding their physiological properties, structure, and function; the organelles they contain; interactions with their environment; and their life cycle, division, and death. This is done both on a microscopic and molecular level. Cell biology research extends to both the great ...
Machine learning in bioinformatics is the application of machine learning algorithms to bioinformatics, [ 1] including genomics, proteomics, microarrays, systems biology, evolution, and text mining. [ 2][ 3] Prior to the emergence of machine learning, bioinformatics algorithms had to be programmed by hand; for problems such as protein structure ...