Course

Introduction to Bioinformatics – applications of Bioinformatics – challenges and opportunities – introduction to NCBI data model- Various file formats for biological sequences.

Bioinformatics resources – Importance of databases – Biological databases- Primary & Secondary databases.

Sequence alignment methods: Sequence analysis of biological data-Significance of sequence alignment- pairwise sequence alignment methods- Use of scoring matrices and gap penalties in sequence alignments- PAM and BLOSUM Scoring Matrices. Introduction to Dynamic Programming, Global alignments: Needleman Wunsch Algorithm, Local Alignments: Smith Waterman Algorithm, Gap Penalties.

Multiple sequence alignment methods – Tools and application of multiple sequence alignment. Sequence alignment tools Phylogenetic analysis algorithms: Maximum Parsimony, UPGMA, Transformed Distance, Neighbors-Relation, Neighbor-Joining, jackknife.

Course Outcomes:

CO1: Understand the basics of bioinformatics.

CO2: Gain knowledge about primary and secondary databases for bioinformatics.

CO3: Understand the sequence alignment methods.

CO4:  To gain knowledge on UPGMA and other algorithms for maximum parsimony.

Course Outcomes:

CO1: To understand the basics of molecular modelling.

CO2: To understand the quantitative structure and activity relationship.

CO3: Understand and apply PCA in molecular design.

CO4: To understand important drug databases, designing Lipinski’s rule of five.

CO-PO Mapping:

Text Books/ References Books

1. Higgins,Des and Willie Taylor: Bioinformatics: Sequence , Structure and databanks, Oxford , University Press,2000.
2. Baxenvants, AD., Bioinformatics: A practical guide to the analysis of genes and proteins, Third edition, John wiley &
3. Sons ,2005
4. Teresa Attwood, Introduction To Bioinformatics ,Pearson Education Singapore Pte Ltd, 2007
5. C. Rastogi et al, Bioinformatics: Methods and Applications: (Genomics, Proteomics and Drug Discovery) Kindle Edi