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Subject name: INTRODUCTION TO BIOINFORMATICS - Back

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CONTENTS:
•	Information revolution in Biology. Interrelationship of Bioinformatics and the other scientific disciplines. 
•	Physico-chemical properties of nucleic acids and amino acids
•	Application of Principal Component Analysis in the clustering of amino acids properties. 
•	Molecular evolution, population genetics and Bioinformatics. 
•	Genealogical trees and coalescence, and human evolution. 
•	Models of molecular evolution. Jukes-Cantor model for nucleic acids evolution. PAM model of protein evolution.
•	Scoring matrices: PAM, BLOSUM and log-odd scoring matrices, alignment score. 
•	Databases of genes and proteins. 
•	Database of 3D structures of proteins: PDB. Protein family databases: CATH and SCOP
•	Sequence alignment algorithms, alignment of pair and multiple sequences, local and global alignment. 
•	Database search. 
•	Phylogenetic methods.
•	Distance matrices and clustering methods
•	Bootstrapping
•	Secondary and tertiary structures of RNA and RNA database

LEARNING OUTCOMES:
•	Consider the rapid expansion in the amount of biological sequence data available and compare this to the exponential growth in computer speed and memory size that has occurred;recognize why bioinformatics is now essenti