Introduction to Computational Biology

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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.

Code(Credit) : CUTM3108 (0-3-1)

Scheme Skill for Success (SFS)
NSQF Level 4
Duration 4 Months
Sector Skill Council for Green Jobs (SCGJ)
Occupations Sequence Analysis
Entry Qualification Diploma/B. Tech/Applied Science/ Agriculture
Minimum Age 18 Years
Aligned to (QP)

Course Objectives:

The objectives of this subject are:

To foster the students with in silico bioinformatics education for their future career.

  • To learn the basic concepts of Bioinformatics and its significance in Biological data analysis.
  • To inculcate the advanced tools and databases of genomics and its applications.
  • To obtain the hands-on-training in in silico basics related to functional genomics.
  • Can join industry as a Sequence analyst or Bioinformaticianand will progress.
  • Can become entrepreneur in the related field.
  • Can do Diploma or any Advance program in the same.

Industry Participation:

  • Department of Biotechnology, Phytopharma Lab, CUTM, Odisha.

Course Syllabus/Contents:

Module 1:
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.
Module 2:
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.
Module 3:
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.
Module 4:
Applications of bioinformatics tools in Agriculture, Medicine, Diary, Health Industry, Environment, Biotechnology, Genomics, Transcriptomics and Proteomics; Bioinformatics and Career.

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Our Main Teachers

Dr. Pushpalatha G., Professor, Department of Plant Biotechnology, Centurion University of Technology and Management, Odisha has many accomplishments. As a Principle Investigator (PI), she runs a project entitled ‘Genome-wide haplotype analysis for salt tolerance associated candidate genes in rice’ funded by SERB (TAR/2021/000258 dated 2nd December 2021), Government of India, India. She is also a […]