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 School Description:

we all know that research cannot be done without bioinformatics analysis, which takes us to an important point: what is bioinformatics? Bioinformatics is a science that enables us to collect and analyze biological data using tools, software, and programming languages.

This makes th biological data clearer and easier to handle, allowing us to reach the results we need. To learn bioinformatics, you need to study biology, different types of omics such as genomics and transcriptomics, programming languages like Python and R, Linux, and statistics. And for data visualization, you can learn it using Python and R.

Biosyn has prepared a 10-month school for learning bioinformatics.

School Features:

  • No experience required.
  • Suitable for beginners.
  • The school includes 3 levels: beginner, intermediate, advanced.
  • At the end of the school, you will work on a Grad project.
  • Continuous follow-up and there will be a task for each session.
  • Easy and simple explanation.
  • After finishing the school, there will be a test based on your score and you will be added to Biosyn’s research team.

Content:

  • Introduction to Molecular Biology
  • Introduction to Bioinformatics
  • Handling various aspects of Genomics & Metagenomics
  • Engaging with diverse bioinformatics tools
  • Purifying bioinformatics data using Python and R
  • Next-Generation Sequencing (NGS)
  • Analyzing the essential bioinformatics for high-throughput genome data analysis
  • Structural Bioinformatics
  • Structural Bioinformatics
  • Molecular Docking

Download Content: here

Donwload Sechdual: here

SPEAKERS:

Dr. Mohamed Emam

  • PhD student at the Evolutionary genomics, Bioinformatics group at Faculty of Science, University of 2022 Porto, Portugal
  • MSc in computer science, bioinformatics major, Nile University, Egypt 2021
  • Graduated from Biotechnology Department, Cairo University, Giza(Egypt) 2019

 

Dr. Shrouk Sallem

  •  Teaching assistant at Bioinformatics center at faculty of science, Helwan University for genomics, bioinformatics, and computational Courses.
  • Instructor in Capital Edu-park for data analysis by R Course.

There are 50 available tickets, and booking is based on a first-come, first-served basis. There is no deadline for booking; it will be completed based on the number of participants.