Download Course Outline

BIOINFORMATICS
COURSE OBJECTIVES
To equip the students with the requisite background in areas of modern biology
(biochemistry, cell biology, genetics and molecular biology) and computer science
(programming languages, databases, algorithms, graphics, data mining, data security etc.).
To expose the students into core areas of Bioinformatics like multiple sequence alignment, phylogenetic
trees. Enabling the students to apply the knowledge of computational analysis for biological data analysis
UNIT 1
INTRODUCTION
9 Hrs.
Overview and Definition, Scope and applications of Bioinformatics. Different fields in Bioinformatics.
Sequence file formats used in Bioinformatics databases and tools.
UNIT 2
DATABASES
9 Hrs
Introduction and classification of biological databases. Nucleic acid Sequence databases:
NCBI, DDBJ, EMBL. Protein sequence databases - PIR, Swissprot. Structure databases - PDB,
PUBCHEM. Secondary databases - PROSITE and PFAM. Structure classification databases SCOP, CATH. Open access bibliographic resources and databases - OMIM, PUBMED, BioMed
Central.
UNIT 3
SEQUENCE ANALYSIS
9 Hrs.
Introduction to sequence analysis and alignment - Global and Local Alignments - Pairwise and Multiple
sequence alignment. Tools for sequence alignments - BLAST, FASTA, Clustal W. Phylogenetic analysis
UNIT 4
PROTEOMICS
9 Hrs.
Introduction to protein structure - primary, secondary and tertiary structures, domains,
motifs and their uses. Secondary structure prediction - tools used. 3D structure prediction Homology modeling, Threading & Abinitio Methods. Gene prediction.
UNIT 5
INTERNET AND PROGRAMMING IN BIOINFORMATICS
9 Hrs.
World Wide Web, Internet and its Uses in Bioinformatics. Introduction to computer architecture and
Operating Systems. Introduction to PERL - Using PERL to facilitate biological analysis - Strings, numbers,
variables - Basic input & output- File handles- Conditional Blocks & loops - Pattern matching- Arrays - Hashes.