IT1005 BIO INFORMATICS 3 0 0 100
AIM
The aim of this course is to expose the students to the basics of bioinformatics processing and the computational techniques needed for the process.
OBJECTIVES
• Basic aspects of the biological patterns
• Biological pattern matching
• Use the archives and information retrieval strategies
• Understand the approaches to sequence alignments
• Understand the issues in proteins and drug discovery
UNIT I INTRODUCTION 9
Life in Space and Time, Dogmas, Data Archives, WWW,
Computers, Biological Classification, Use of Sequences, Protein Structure, Clinical Implications
UNIT II GENOME ORGANIZATION 9
Genomics and Proteomics, Eavesdropping on transmission of genetic information, Genomes of prokaryotes, Genomes of Eukaryotes, Human Genome, SNPs, Genetic Diversity, Evolution of Genomes
UNIT III ARCHIVES AND INFORMATION RETRIEVAL 9
Introduction, The archives, Gateways to Archives
UNIT IV ALIGNMENTS AND PHYLOGENETIC TREES 9
Introduction to Sequence Alignment, The dotplot, Dotplots and Sequence Alignments, Measures of Sequence similarity, Computing the Al;ignment, The dynamic programming algorithm, Significance of alignments, Multiple sequence alignment, Applications, Phylogeny, Phylogenetic trees
UNIT V PROTEIN STRUCTURE AND DRUG DISCOVERY 9
Protein Stability and Folding, Applications of Hydrophobicity, Superposition of structures, DALI, Evolution of Protein Structures, Classification of Protein Structures, Protein Structure prediction and modeling, Assignment of protein structures to genomes, Prediction of protein function, Drug discovery and development
TOTAL : 45
TEXT BOOK
1. Arthur M Lesk, “Introduction to Bioinformatics”, Oxford University Press, India, 2004
REFERENCE
1. Attwood T K and Parry-Smith D J, “Introduction to Bioinformatics”, Pearson Education Asis, New Delhi, 2001
AIM
The aim of this course is to expose the students to the basics of bioinformatics processing and the computational techniques needed for the process.
OBJECTIVES
• Basic aspects of the biological patterns
• Biological pattern matching
• Use the archives and information retrieval strategies
• Understand the approaches to sequence alignments
• Understand the issues in proteins and drug discovery
UNIT I INTRODUCTION 9
Life in Space and Time, Dogmas, Data Archives, WWW,
Computers, Biological Classification, Use of Sequences, Protein Structure, Clinical Implications
UNIT II GENOME ORGANIZATION 9
Genomics and Proteomics, Eavesdropping on transmission of genetic information, Genomes of prokaryotes, Genomes of Eukaryotes, Human Genome, SNPs, Genetic Diversity, Evolution of Genomes
UNIT III ARCHIVES AND INFORMATION RETRIEVAL 9
Introduction, The archives, Gateways to Archives
UNIT IV ALIGNMENTS AND PHYLOGENETIC TREES 9
Introduction to Sequence Alignment, The dotplot, Dotplots and Sequence Alignments, Measures of Sequence similarity, Computing the Al;ignment, The dynamic programming algorithm, Significance of alignments, Multiple sequence alignment, Applications, Phylogeny, Phylogenetic trees
UNIT V PROTEIN STRUCTURE AND DRUG DISCOVERY 9
Protein Stability and Folding, Applications of Hydrophobicity, Superposition of structures, DALI, Evolution of Protein Structures, Classification of Protein Structures, Protein Structure prediction and modeling, Assignment of protein structures to genomes, Prediction of protein function, Drug discovery and development
TOTAL : 45
TEXT BOOK
1. Arthur M Lesk, “Introduction to Bioinformatics”, Oxford University Press, India, 2004
REFERENCE
1. Attwood T K and Parry-Smith D J, “Introduction to Bioinformatics”, Pearson Education Asis, New Delhi, 2001
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