National University of Sciences and Technology
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CSE- 953 Advanced Computational Biology
Campus RCMS
Programs PG
Session Summer Semester 2016
Course Title Advanced Computational Biology
Course Code CSE- 953
Credit Hours 3-0
Pre-Requisutes Chemistry, Biology, Bioinformatics, Pharmacology
Course Objectives This course is a survey of algorithms and mathematical methods in biological sequence analysis, protein structures and system biology. Sequence analysis topics include introduction to probability, hidden Markov models, gene prediction, sequence alignment, and identification of trancommention-factor binding sites. Systems biology topics include gene regulatory networks, quantitative and qualitative modeling of gene regulatory networks.
Detail Content Details of course contents are as follows:
Introduction to DNA & Proteins, Intro. to Databases and biological Databases, String Matching Algo. for Sequence Alignment, Multiple Sequence Alignment, Phylogenies Trees, Protein Structure Prediction & Analysis, Protein-Protein Interactions, Molecular Docking, Molecular Dynamics, Gene Regulatory Networks, Modeling of Gene Regulatory Networks(GRN), Modeling GRN with Kinetic Logic, Modeling GRN with Ordinary Differential Equations, Modeling GRN with Piece-wise Linear Differential Equations, Signaling Transduction Pathways, Pathway Logic.
Text/Ref Books
  • Baxevanis, A.D. and Ouellette (eds.) Bioinformatics. A Practical Guide to the Analysis of Genes and Proteins. (2004) Third Edition
  • Rene Thomas and Richard D’Ari. Biological Feedback.
Time Schedule Summer Semester 2013
Faculty/Resource Person Dr. Umar H K Niazi
PhD (The University of Manchester, UK)
Discipline: Bioinformatics, Specialization: Bioinformatics
Dr. Jamil Ahmad
PhD (EcoleCentrale de nantes) France
Discipline: Applied Computer Science and Bioinformatics
Specialization: System Biology and Model Checking.