Computational Molecular Biology

Computational Molecular Biology
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Description

Gain a dynamic and practical perspective of computational molecular biology while exploring the most prevalent issues in the field. Critically dissect existing methods for representing and analyzing genomes, sequences, and proteins to find the strengths and limitations of each. Class projects will help molecular biologists and computer scientists to understand the major issues concerning genomes, sequences and structures.

This course is cross listed with BIOC218.

Topics Include

  • Genome databases
  • Quantitative and probabilistic pattern matching
  • Protein sequence and structural motifs
  • Pathway bioinformatics

Prerequisites

Genetics, Biochemistry, and Molecular Biology (Stanford Course: BIO 41) or consent of instructor

Notes

Grading

There will be 7 homework assignments utilizing the tools described in the lectures. A final paper will be required for the course that critically and constructively analyzes one of the areas presented in the course.

  • Homework- 35%
  • Project- 65%

Resources


Course Page
School
Stanford School of Medicine
Language
English