BBI353

Computational Biology Lab

L-T-P0-0-2 Credits1 Session2025-26 TypeLab / Practical
Appears in 1 semester

B.Tech Bioinformatics · Sem 3 (Lab)

List of Experiments / Activities

  1. COMPUTATIONAL BIOLOGY LAB
  2. 1Knowledge of different biological database
  3. •Protein and gene sequence databases (NCBI, DDBJ, EMBL, SWISS PROT, PIR)
  4. •Structured at a bases (MMDB, PDB, CATH, SCOP)
  5. •Pathway Databases (KEGG, BRENDA, METACYC)
  6. •Bibliographic database (PUBMED, MEDLINE)
  7. 2Sequence retrieval from biological database
  8. 3To retrieve nucleotide sequences from GenBank in flat file format.
  9. 4To identify and analyze various fields (LOCUS, DEFINITION, ACCESSION, FEATURES, ORIGIN) in a GenBank flat file.
  10. 5Retrieve a protein structure (PDB file) from the Protein Data Bank (PDB) and visualize it using PyMOL, Chimera, or Jmol.
  11. 6Identify alpha-helices, beta-sheets, and active sites.
  12. 7Sequence similarity searching of nucleotide and protein sequences
  13. 8Finding homologous sequences
  14. 9Multiples Sequence alignment
  15. 10Dynamic programming method-local and global alignment
  16. 11Gene prediction methods
  17. Note: The instructor may add/delete/modify/tune experiments B. TECH (BIOINFORMATICS)
Course Outcomes (COs)5 outcomes

After completion of the course student will be able to:

  1. CO1Identify and describe different types of biological databases and their purposes.K1
  2. CO2Retrieve sequences from databases and perform similarity searches for nucleotide and protein data, study GenBank flat fileK3
  3. CO3Analyze protein properties and identify homologous sequences to infer functional/evolutionary relationships.K4
  4. CO4Perform multiple sequence alignment and apply dynamic programming methods for sequence comparison.K4
  5. CO5Evaluate and implement gene prediction methods to identify coding regions in genomic sequences.K5

Official AKTU syllabus

This subject is on page 9, 10 of the original AKTU PDF.

Official AKTU syllabus PDF ↗