BT3601 Bioinformatics Syllabus:

BT3601 Bioinformatics Syllabus – Anna University Regulation 2021

OBJECTIVES:

 To launch the Bioinformatics core concepts to students.
 To provide knowledge on Biological databases, sequence analysis,evolutionary analysis and applications of Bioinformatics.

UNIT I BIOLOGICAL DATABASES

Introduction to Bioinformatics and Computational Biology, Biological sequences, Classification of biological databases – Sequence Databases, Structure Databases, Genome specific databases, Special Databases and applications- Microarray, Metabolic pathway, motif, and domain databases, Data file formats.

UNIT II SEQUENCE ANALYSIS

Sequence Alignment- Homology vs Similarity, Similarity vs Identity. Types of Sequence alignment – Pairwise and Multiple sequence alignment, Global alignment, Local alignment, Dotplot, Alignment algorithms- Needleman wunsch and Smith and waterman algorithm, Substitution matrices- PAM, BLOSUM.Multiple Sequence Alignment- Application of multiple alignments, Viewing and editing of MSA and Scoring function.Database Similarity Searching- Basic Local Alignment Search Tool (BLAST), FASTA, PHI BLAST, PSI BLAST, BLAST algorithm.

UNIT III MOLECULAR PHYLOGENY

Phylogenetics Basics, Molecular clock theory, Ultrametric trees, Distance matrix methodsUPGMA,NJ, Character based methods-Maximum Parsimony. Methods of evaluating phylogenetic
methods- boot strapping, jackknifing.

UNIT IV MACROMOLECULAR STRUCTURE ANALYSIS

Gene prediction, Conserved domain analysis, Protein structure visualization, Prediction of protein secondary structure, Tertiary structure prediction- Homology modeling, Threading, Ab-initio prediction. Validation of the predicted structure using Ramachandran plot, steriochemical properties, Structure- structure alignment.

UNIT V APPLICATIONS

Introduction to Systems Biology and Synthetic Biology, Microarray data analysis, DNA computing, Bioinformatics approaches for drug discovery, Applications of Bioinformatics in genomics and proteomics- Assembling the genome, STS content mapping for clone contigs, Functional annotation, Peptide mass fingerprinting.

TOTAL: 45 Periods

COURSE OUTCOMES

Upon completion of this course, Student will be able to
 Use and describe bioinformatics data and information resources.
 Apply computational based solutions for biological perspectives
 Analyze the evolutionary relationship between the organisms
 Understand the macromolecules structure prediction methods
 Relate how bioinformatics methods can be used in sequence to structure and function analysis.
 Learn the applications of bioinformatics approach for drug discovery, genomics and proteomics.

TEXT BOOKS:

1. Arthur K. Lesk- Introduction to Bioinformatics, Oxford University Press.
2. Baxivanis and FouletteD- Bioinformatics: A Practical Guide to the Analysis of Genes and Proteins, Wiely Indian Edition, 2001.
3. Attwood TK, parry DJ-Smith, Introduction to Bioinformatics, Pearson Education, 1st Edition, 11th Reprint 2005.
4. David W. Mount-Bioinformatics Sequence and Genome Analysis, Cold Spring Harbor Laboratory Press. 1st edition 2001.