Branched DNA (bDNA) (foto Wikipedia) Computational Biology: Pattern Prediction in Biology Computational Biology is the use of Quantitative Tools, Data Analytics, Mathematical Modelling and Computational Simulation Techniques to the Study of Biological, Behavioral, and Social Systems. Computational Biology has been very effective when collecting large Data Sets and has helped Sequence the Human Genome, create accurate Models of the Human Brain, and assist in Modeling Biological Systems. Computational Biomodeling, which builds Computer Models of Biological Systems, often uses Visual Simulations to assess the Complexity of Biological Systems. Biomodelling specifically uses specialized Algorithms and Visualization Software, which help with the Prediction of how Bio Systems will react under different Environments. Subsets of Computational Biology includes, Computational Genomics, Neuroscience and Pharmacology. Cancer Computational Biology aims to determine the Future Mutations in Cancer through an Algorithmic Approach to analyzing Data. Research in this field has led to the use of High Throughput Measurement. High Throughput Measurement allows for the gathering of millions of Data Points using Robotics and other Sensing Devices. This Data is collected from DNA, RNA, and other Biological Structures. Areas of focus includes determining the characteristics of Tumors, analyzing Molecules that are deterministic in causing Cancer, and understanding the how … Meer lezen over Jeffrey Epstein – Computational Biology: Pattern Prediction in Biology