BBI552

Fundamentals of Omics Lab

L-T-P0-0-2 Credits1 Session2026-27 TypeLab / Practical
Appears in 1 semester

B.Tech Bioinformatics · Sem 5 (Lab)

List of Experiments / Activities

  1. 1Retrieve DNA sequences from NCBI and visualize basic sequence features.
  2. 2Primer designing.
  3. 3Perform gene prediction using AUGUSTUS (web server demo).
  4. 4Explore mutation detection using DeepVariant demo dataset.
  5. 5Load RNA-Seq sample data in Galaxy and generate expression plots.
  6. 6Cluster transcriptomic data using Orange Data Mining (drag-and-drop).
  7. 7Retrieve protein sequences from UniProt and analyze domains using InterPro.
  8. 8Predict protein secondary structure using SOPMA/PSIPRED online tools.
  9. 9Phosphorylation site prediction using NetPhos.
  10. 10Peptide structural characterization by Bioinformatics tool.
  11. 11Identify motifs in protein sequences using HMMER web server.
  12. 12Map genes/proteins to pathways using KEGG Mapper.
  13. 13Run a simple neural network in Google Colab to classify DNA vs. protein sequences.
  14. 14Apply K-means clustering on demo gene expression data (Orange/Colab).
  15. 15Case study: Use Orange’s built-in healthcare dataset to train a decision tree classifier.
  16. Note: The instructor may add / delete / modify / tune experiments as required. Dr. A.P.J. Abdul Kalam Technical University, Lucknow, Uttar Pradesh
Course Outcomes (COs)5 outcomes

After completion of the course student will be able to:

  1. CO1Demonstrate knowledge of open biological databases and AI based tools.K2
  2. CO2Retrieve and process genomic, transcriptomic, and proteomic data using web servers.K3
  3. CO3Apply alignment, clustering, and prediction methods with AI support.K3
  4. CO4Apply computational tools to identify protein structures, motifs, and gene expression patterns.K3
  5. CO5Explain AI applications in healthcare and multi-omics integration.K2

Official AKTU syllabus

This subject is on page 27, 28 of the original AKTU PDF.

Official AKTU syllabus PDF ↗