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Introduction to Genomics and Computational Molecular Biology

COS 551/MOL 551/QCB 551

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This interdisciplinary course provides a broad overview of computational and experimental approaches to decipher genomes and characterize molecular systems. We focus on methods for analyzing "omics" data, such as genome and protein sequences, gene expression, proteomics and molecular interaction networks. We cover algorithms used in computational biology, key statistical concepts (e.g., basic probability distributions, significance testing, multiple hypothesis correction, data evaluation), and machine learning methods which have been applied to biological problems (e.g., hidden Markov models, clustering, classification techniques).
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Section L01

  • Type: Lecture
  • Section: L01
  • Status: O
  • Enrollment: 9
  • Capacity: 35
  • Class Number: 22122
  • Schedule: TTh 11:00 AM-12:20 PM