Bioinformatics Course Modules
 
      Module
 1.     Introduction to Bioinformatics
  • Bioinformatics concepts and definition
  • Bioinformatics in business and pharmaceutical industry
  • Internet and Bioinformatics
  • Knowledge Discovery and Data mining
  • Human Genome Project
  • Problems faced by Bioinformatics professionals
  • Career Opportunities in Bioinformatics
 2.
    Biostatistics
  • Data Presentation and Tabulation
  • Sampling
  • Probability and Distribution
  • Central Skew ness and Tendency
  • ANOVA
  • Hypothesis Testing
  • Correlation and Regression
  • Hidden Markov Model (HMM)
  • Simple Algorithms
  • Vital Statistics
 3.     Molecular Genetics
  • Introduction
  • Mendel Law of Inheritance
  • Linkage and Crossing Over
  • Mutations
  • Chromosomal Aberrations
  • DNA and its Replication
  • Transcription
  • Translation
  • Regulation of Gene Expression
 4.     Basics of Biocomputing
  • Introduction to Computers
  • Microsoft Office
  • Mail Merge
  • UNIX
  • Visual Basic
  • Application of Computers in Bioinformatics
 5.     Biological Databases and their Management 
  • Introduction
  • History of Database
  • Database Management System
  • Codd Rule
  • Data Normalization
  • SQL
  • Biological Databases, Sequence Databases


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