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Computational Biology Virtual Internship
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BioTecNika
Course Curriculum
Getting Started
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Class Schedule
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Unit 1: Integrative Biology
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Day 1: Introduction to computational biology and its applications in Life Sciences. (61:12)
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Day 2: Understanding the basic principles and theories underlining computational biology. (60:29)
Unit 2: Decoding the Biomacromolecules
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Day 3: Understanding the biophysics of Carbohydrates and Proteins. (64:03)
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Day 4: Understanding biophysics Lipids and Nucleic acid. (67:58)
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Day 5: Drug design, drug action, and stimulation. (17:03)
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Day 6: Pharmacokinetics and Pharmacodynamics. (61:52)
Unit 3: Algorithms in Computing
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Day 7: Biological and Computer algorithms, Fibonacci problem, Dynamic Programming, Time and space complexity of algorithms. (63:10)
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Day 8: Laplace's Rule, Search Algorithms: Random walk, Hill climbing, simulated annealing. (67:20)
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Day 9: Hidden Markov Model and their Applications in Proteomics and Genomics. (71:28)
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Day 10: Support Vector Machines and Bayesian network. (73:27)
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Day 11: Artificial Neural Network (ANN) and their application in biology. (59:33)
Unit 5: Big Data Analytics
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Day 12: Cloud computing: features, advantages, applications. (71:41)
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Day 13: Network Medicine and Personalization. (62:44)
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Day 14: Pharmacogenomics and Microbiome analysis. (65:12)
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Computational Biology Internship
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