Bioinformatics

This track offers a range of specialized courses designed to equip you with the essential skills in bioinformatics, preparing you for roles such as Bioinformatician or Bioinformatics Scientist. Graduates of this track can pursue careers in pharmaceutical and biotechnology companies, as well as institutes and research centers.

Available courses:

  1. Programming in Bioinformatics

The course is designed to introduce students to the essential concepts and practical applications of the R programming language in bioinformatics. The course emphasizes the use of R for data manipulation, visualization, statistical analysis, and the development of bioinformatics workflows. Through hands-on exercises and real-world examples, students will learn to utilize R to solve various bioinformatics challenges.

Course content: 40hrs

  1. Introduction to R Programming and Bioinformatics
  2. Data Manipulation and Transformation
  3. Data Visualization and Exploratory Data Analysis
  4. Statistical Analysis in Bioinformatics
  5. R Packages and Tools for Bioinformatics
  6. Bioinformatics Workflows and Pipelines
  7. Application of R in Bioinformatics

Instructor:

Eng. Usama Bakry

  • Bioinformatician and Data Scientist with more than 7 years of experience
  • He was a senior bioinformatician at Egypt Center for Research and Regenerative Medicine (ECRRM).
  • He was working as a bioinformatics research associate in Genomics Research Unit at Children’s Cancer Hospital – Egypt 57357 from 2019 to 2021.
  • His research interests lie in the area of analyzing omics data, as well as, designing and developing powerful algorithms and tools that make omics data analysis easier for bioinformaticians.
  1. Drug Design Course:

Course content : 35hrs

1 Introduction to Structural Bioinformatics & Computational Aspects in Drug

Discovery

  1. Modeling of protein structure and introduction to PyMol software

4 Protein Structure Representation Formats and Databases

5 Protein Structure Prediction: Homology Modeling, Fold Recognition

6 Computational Modeling of Small Molecule Ligands in Drug Discovery

7 Molecular Docking Simulation

8 Structure-Based Virtual Screening& Blind Docking, Active Site Prediction

9 Molecular Docking Rescore& Protein Ligand Interaction

  1. Freelance Orientation Session

Instructor  

Dr. Mariam Soliman

Researcher and Freelancer in Drug Design Field

More than two years of experience in Drug Design

Work At insilicome Company

Upcoming courses:

  1. Multi-Omics analysis
  2. NGS
  3. Chemo-informatics
  4. Machine learning
  5. Single Cell
  6. Genomics and Metagenomics
Contact Us