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Advanced Bioinformatics: Course Outline (BIO-705)

This course is designed to enable the students to evaluate the results from different types of sequence-based analyses, domain comparisons, profile, and secondary/tertiary structure analyses and to comprehend different, representative types of bioinformat

Course Outline

  • Primary and derived bioinformatics data
  • Genomes and genome analysis methods
  • UniProt and sequence analysis methods
  • Statistical, information-theory and linguistic aspect of data
  • Coding algorithms for biological sequence analysis
  • Structural data analysis and PDB
  • Gene Ontology and functional data analysis
  • Multiple sequence alignment, intro to evolutionary analysis
  • Orthologs, paralogs/gene families, phylogenetic analysis
  • Protein, network-based analysis and Systems Biology
  • Integration of data from multiple sources for genomics and proteomics
  • Molecular Docking Simulation
  • Molecular Mechanics Simulations
  • Quantum Mechanical Computations
  • Visualization tools
  • Bioinformatics and nanotechnology: 
  • DNA computing, sequencing by hybridization
  • Recent trend

Text Books

Text Books

Course Objectives

  • To evaluate the results from different types of sequence-based analyses, domain comparisons, profile, and secondary/tertiary structure analyses
  • To comprehend different, representative types of bioinformatics problems. This includes gene ontology analysis, sequence and phylogenetic analysis, gene expression analysis, genome annotation and analysis, bio-imaging, analysis of genome variation, models of gene regulation, and systems biology models

Text Books