Genomic Sequence Analysis

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

Part-time Programmes / CET Courses

Singapore University of Social Sciences

Genomic Sequence Analysis

Genomic Sequence Analysis (BME355)

Synopsis

Topics

Learning Outcome