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A biological system is a complex network which connects several biologically relevant entities. Biological organization spans several scales and are determined based different structures depending on what the system is. [1] Examples of biological systems at the macro scale are populations of organisms.
Systems biology is the computational and mathematical analysis and modeling of complex biological systems.It is a biology-based interdisciplinary field of study that focuses on complex interactions within biological systems, using a holistic approach (holism instead of the more traditional reductionism) to biological research.
Multiple macromolecules form a cell, like a club cell. A group of cells functioning together as a tissue, for example, Epithelial tissue. Different tissues make up an organ, like a lung. Organs work together to form an organ system, such as the Respiratory System. All of the organ systems make a living organism, like a lion.
Systems biology is an academic field that seeks to integrate different levels of information to understand how biological systems function. The main article for this category is Systems biology . Contents
Аԥсшәа; العربية; Azərbaycanca; বাংলা; 閩南語 / Bân-lâm-gú; Беларуская; Беларуская (тарашкевіца)
Two or more organs working together in the execution of a specific body function form an organ system, also called a biological system or body system. An organ's tissues can be broadly categorized as parenchyma , the functional tissue, and stroma , the structural tissue with supportive, connective, or ancillary functions.
Micro- and nano-electronic components and devices have increasingly been combined with biological systems like medical implants, biosensors, lab-on-a-chip devices etc. causing the emergence of this new scientific field. [22] Biomaterials – any matter, surface, or construct that interacts with biological systems. As a science, biomaterials is ...
KEGG (Kyoto Encyclopedia of Genes and Genomes) is a collection of databases dealing with genomes, biological pathways, diseases, drugs, and chemical substances.KEGG is utilized for bioinformatics research and education, including data analysis in genomics, metagenomics, metabolomics and other omics studies, modeling and simulation in systems biology, and translational research in drug development.