Computational Biology

Computational biology is the field of study that uses computer science and mathematics to analyze and understand biological data. It is used to develop algorithms, simulations, and databases to model biological systems, uncover patterns and trends, and make predictions. Computational biology is a critical tool for understanding complex biological systems and can be used to study a wide range of biological phenomena, from gene regulation to protein folding. It can help identify targets for diagnostics and therapeutics, aid in the understanding of evolution, and advance the development of sustainable agriculture methods. Computational biology is essential for biomedical and biotechnological research and is increasingly being applied to areas such as medical diagnostics, drug development, and personalized medicine.

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Related Articles

10 article(s) found

Computational EPAS1 rSNP Analysis, Transcriptional Factor Binding Sites and High Altitude Sickness or Adaptation

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Computational STAT4 rSNP Analysis, Transcriptional Factor Binding Sites and Disease

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Quantitative Microbiological Risk Assessment: Underrated Tool in Process Improvement in Food Microbiology

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Retinal and Cortical Contributions to Excessive V1 Neuron Firing Rate Variability in Schizophrenia: A Computational Modeling Analysis

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Quantitative Computational Prediction of the Consensus B-cell Epitopes of 2019-nCoV

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The Biology of Fall Army Worm (Spodopterafrugiperda. J. E. Smith) in Sudan

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Six Fractal Codes of Biological Life Unifying ATOMS, WAVES and INFORMATION: Perspectives in Exobiology, Cancers Basic Research and Artificial Intelligence Biomimetism Decisions Making

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Computational Systemic Biology for Toxicity Studies: A Mini Review of Previously Published Articles

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The Heart Physiology in Fertile Female and The Heart Pathophysiology in Post Menopausal Female. The Contribution of Molecular Biology, Maintaining Cardiac Hemodinamy and Electrophysiology

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RBM45: Molecular, Cellular, and Evolutionary Biology

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