Unit

Topic

No. of Lectures/Hrs

1

Introduction to Bioinformatics: Introduction, aim, scope of bioinformatics, Examples of related tools (FASTA, BLAST), databases (GENBANK, PDB) Data generation; Generation of largescale molecular biology data. (Through Genome sequencing, Protein sequencing and microarray).

10

2

Biological Sequence Databases: Introduction, Biological Databases, Classification format of Biological Databases, Biological Database Retrieval System, National Center for Biotechnology Information (NCBI): Tools and Databases of NCBI, Sequence Submission to NCBI, Basic local alignment search tool (BLAST), Nucleotide Database, Protein Database, Gene Expression Database, EMBL Nucleotide Sequence Database (EMBL-Bank) Introduction, Sequence Retrieval, Sequence Submission to EMBL, Sequence analysis tools, Protein sequences Databases:- Swiss-Prot, UniProtKB, Protein-Protein interaction database:- STRING; Sequence motifs Databases:- Prosite, Pfam, InterPro , Chemical Structure database:- Pubchem, Molecular functions / Enzymatic catalysis databases:- KEGG ENZYME database.

18

3

Sequence Alignments: Introduction, Concept of Alignment, Multiple Sequence Alignment (MSA), MSA by CLUSTALW, Scoring Matrices, Percent Accepted Mutation (PAM).

6

4

Molecular Phylogeny: Methods of Phylogeny, Software for Phylogenetic Analyses, Consistency of Molecular Phylogenetic Prediction.

4

5

Structural Bioinformatics: Sequence pattern, motifs and profiles, SCOP, CATH. Prediction of secondary structure of protein.

4

6

Applications of Bioinformatics: Structural Bioinformatics in Drug Discovery, Quantitative structure-activity relationship (QSAR) techniques in Drug Design, Crop improvement.

4

7

Biostatistics: Definition - statistical methods - basic principles. Variables - measurements, functions, limitations and uses of statistics. Types and methods of data collection procedures - merits and demerits. Classification - tabulation and presentation of data - sampling methods, Mean, median, mode, geometric mean - merits & demerits. Measures of dispersion - range, standard deviation, mean deviation, quartile deviation - merits and demerits; Co- efficient of variations. Types and methods of correlation, regression, simple regression equation, fitting prediction, similarities and dissimilarities of correlation and regression, student 't' test, Chi-square test for goodness of fit.

14