Course details

OriGene Biosolutions is a premier life science research and training organization dedicated to advancing bioinformatics and data analysis. Tailored solutions for your bioinformatics needs.

Certificate Course in Bioinformatics


Level
Intermediate
Duration
1 Month | 8 hours per week
Flexible Schedule
Learn from anywhere.
Modules
4
Capsote Project
Real-world project with publication.
Computational Biology

Members
Rs.7,500
Non-Members
Rs.10,000
About membership

Course Modules

Enroll Now

  • Scope and applications of bioinformatics
  • Types of biological data: sequence, structure, expression
  • Databases: NCBI, Ensembl, UniProt, PDB
  • Hands-on: NCBI Gene & BLAST search

  • DNA/protein sequence formats (FASTA, GenBank)
  • Pairwise and multiple sequence alignment (Clustal Omega, MUSCLE)
  • Functional annotation of sequences
  • Phylogenetic tree construction basics

  • ORF finder and gene prediction tools
  • Protein domain databases: Pfam, InterPro
  • Protein structure basics (PDB, PyMOL visualization)
  • Introduction to protein modeling tools

  • Introduction to genomics and next-gen sequencing
  • RNA-Seq basics and gene expression analysis (intro-level)
  • Hands-on: Explore expression data using tools like GEO2R
  • Capstone mini-project: Analyze a gene/protein of interest using learned tools
Course Overview
This compact course introduces the essential tools, databases, and applications of bioinformatics. Participants will learn to analyze DNA, RNA, and protein data using web-based tools and basic command-line approaches.
What You'll Learn
  • Basics of bioinformatics and biological databases
  • Sequence alignment and gene/protein annotation
  • Introduction to genomics and transcriptomics analysis
  • Hands-on experience with key tools like BLAST, Clustal Omega, and UniProt
  • Real-world case studies in disease research and molecular biology
  • Who Can Register
    Life science undergraduates, postgraduates, academic researchers, or beginners curious about the field of bioinformatics.
    Prerequisites
  • Basic understanding of biology (genes, proteins, DNA/RNA)
  • No prior coding experience required (optional Linux/Python exposure helpful)