This is a skill oriented course to provide hands-on practice and project work in the computational biological study involving different in silico techniques, including database mining, data retrieval, data curation, annotation, and structural characterization.
The objectives of this subject are:
To foster the students with in silico bioinformatics education for their future career.
Unit 1: History, Scope and Importance, Databases- Tools and their Uses,
Unit 2: Introduction to various tools and databases - DNA Databases - NCBI and its GenBank resources, KEGG and its resources, DNA Data Bank of Japan (DDBJ).
Unit 3: National Centre for Biotechnology Information (NCBI): cDNA libraries and Expressed Sequence Tags (ESTs), EST analysis, Pairwise alignment techniques, Multiple sequence alignment.
Unit 4: Kyoto Encyclopedia of Genes and Genomes (KEGG): Modules, Network, Genomes, Genes and KEGG analysis tools.
Unit 5: DNA Data Bank of Japan (DDBJ): Sequence Alignment Methods, Predictive Methods Using DNA Sequences.
Unit 1: Protein Information Resources (PIR)
Unit 2: SWISS PROT and Protein Data Bank (PDB): Protein features and motifs, annotation and curation, protein structure analysis.
Unit 1: Phylogenetic analysis: Evolution, elements of phylogeny, methods of phylogenetic analysis, Phylogenetic tree of life, comparison of genetic sequence of organisms, phylogenetic analysis tools-Phylip, ClustalW.
Unit 2: BLAST: Basic Local Alignment Search Tool: Nucleotide BLAST, Protein BLAST, Blastn, Blastp, Blastx, tBlastn, tBlastx
Unit 3: Sequence Alignment: MSA using conserved domain and local sequence similarity information, COBALT, Protein sequence alignment, Nucleotide sequence alignment.
Applications of bioinformatics tools in Agriculture, Medicine, Diary, Health Industry, Environment, Biotechnology, Genomics, Transcriptomics and Proteomics; Bioinformatics and Career.