Bioinformatics and Computational Biology
Why colleges run this
Life-sciences research and biotech increasingly run on computation; graduates who can handle sequence data hold a differentiated, research-ready skill.
Course outcomes
CO1
Describe the major biological databases and data formats
K2CO2
Perform pairwise and multiple sequence alignment
K3CO3
Search databases for homology using BLAST
K3CO4
Construct a phylogenetic tree from sequence data
K3CO5
Interpret a sequence analysis in a written report
K5Modules tap a module for its theory & lab
Hours shown are the recommended 5-day format — module time scales to the duration you pick.
01Bioinformatics foundations5 h
Theory
Biological data, databases
Lab
Explore biological databases
Output
Database exercise
02Sequences5 h
Theory
DNA and protein sequences, formats
Lab
Handle sequence files
Output
Sequence exercise
03Sequence alignment5 h
Theory
Pairwise and multiple alignment
Lab
Align sequences
Output
Alignment output
04Database searching5 h
Theory
BLAST, homology
Lab
Search for homology with BLAST
Output
BLAST results
05Phylogenetics5 h
Theory
Trees, evolutionary analysis
Lab
Build a phylogenetic tree
Output
Phylogenetic tree
06Genomics basics5 h
Theory
Genome data, annotation
Lab
Inspect an annotated genome
Output
Annotation notes
07Tools and scripting5 h
Theory
Bioinformatics tools, basic scripting
Lab
Automate a small analysis
Output
Analysis script
08Capstone5 h
Theory
A sequence analysis with a written interpretation
Lab
Analyse and interpret a sequence set
Output
Sequence analysis report
Every participant receives
Certificate of completion Course material LMS access Interview question bank Mock interview & viva practice