Computational biology syllabus

  • Is computational biology tough?

    Computational biology is the science that answers the question “How can we learn and use models of biological systems constructed from experimental measurements?” These models may describe what biological tasks are carried out by particular nucleic acid or peptide sequences, which gene (or genes) when expressed produce .

  • What are the subjects in computational biology?

    Computational biology refers to the use of data analysis, mathematical modeling and computational simulations to understand biological systems and relationships.
    An intersection of computer science, biology, and big data, the field also has foundations in applied mathematics, chemistry, and genetics..

  • What comes under computational biology?

    Learning objectives:
    Increase computational literacy.
    Understand the principles and some methods of genomics, gene expression and proteomics that aid precision medicine, modern plant and animal breeding..

  • What is taught in computational biology?

    Computational biology is the science that answers the question “How can we learn and use models of biological systems constructed from experimental measurements?” These models may describe what biological tasks are carried out by particular nucleic acid or peptide sequences, which gene (or genes) when expressed produce .

This course covers the algorithmic and machine learning foundations of computational biology combining theory with practice. We cover both foundational topics 

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