Fundamentals of Bioinformatics

Overview

The Fundamentals of Bioinformatics Training Program provides participants with foundational knowledge and hands-on experience in key bioinformatics tools and techniques. This program combines biology, computer science, and statistics to analyze and interpret biological data, preparing participants for careers in research, healthcare, and biotechnology.

Program Highlights

Sequence Analysis

Master DNA and protein sequence alignment techniques

Database Mining

Learn to navigate and extract data from biological databases

Molecular Modeling

Visualize and analyze protein structures in 3D

Learning Objectives

  • Understand the core concepts and scope of bioinformatics
  • Gain proficiency in sequence analysis and database mining
  • Master tools like NCBI, BLAST, and Clustal Omega
  • Perform basic genomics and proteomics data analysis
  • Interpret results for biological research applications

Course Modules


Introduction to Bioinformatics

Definition, importance, and connections to genomics, proteomics, and drug discovery

Biological Databases

GenBank, EMBL, UniProt, KEGG, PDB and practical database navigation

Sequence Analysis

DNA/protein sequences, alignment techniques (BLAST, Clustal Omega), scoring matrices

Gene Prediction

ORF prediction tools and functional annotation (GO terms, COG, Pfam)

Phylogenetic Analysis

Tree construction methods (Neighbor-Joining, Maximum Likelihood)

Structural Bioinformatics

Protein structure visualization, homology modeling (SWISS-MODEL), docking

Genomics & Proteomics

Genome assembly overview, RNA-Seq basics, mass spectrometry data

Applications

Drug discovery, personalized medicine, agriculture, metagenomics

Who Should Enroll?

  • Students and researchers in life sciences
  • Biotechnology and pharmaceutical professionals
  • Healthcare professionals interested in genomic data
  • Anyone pursuing computational biology careers

Practical Training

  • Hands-on exercises with real biological datasets
  • Access to industry-standard bioinformatics tools
  • Guidance from experienced bioinformaticians
  • Project-based learning approach