Singapore University of Social Sciences

Genomic Sequence Analysis (BME355)

Synopsis

This course covers a core subject in computational biology where revolution in molecular biology and computer science has enabled high throughput analysis of tons of the genomic sequences generated from sequencing projects. Topics include the computational methods and algorithms for analysing and disseminating genomic information.

Level: 3
Credit Units: 5
Presentation Pattern: Every July

Topics

  • Introduction to Molecular Genetics
  • Molecular Genetics and Databases
  • Pairwise Sequence Alignment
  • Database Searching with BLAST and FASTA
  • Advanced BLAST Searching
  • Multiple Sequence Alignment

Learning Outcome

  • Demonstrate competence in the basic concepts of molecular genetics and computational biology.
  • Discuss the genomic sequence organization and select specific genomic sequence data using GenBank, Ensembl, etc.
  • Examine the various scoring matrices used for protein/DNA alignment and evaluate global vs. local sequence alignment tools used in studying evolution.
  • Assemble the target sequences in genomic databases using the homology score matrices and the heuristic search tools.
  • Evaluate various types of multiple sequence alignment algorithms & global genomic analysis tools to formulate a solution for a research problem using these tools
  • Solve problems using multiple genomic tools (online) introduced in this course to answer a complex research question
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