• Description
  • Curriculum
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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.

Eligible Audience:

  • Graduate students, researchers, and professionals interested in bioinformatics or RNA-Seq analysis.
  • Individuals new to bioinformatics or with limited programming experience.
  • Scientists from molecular biology, genomics, or related fields seeking practical data analysis skills.

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
  • GitHub and Snakemake
  • Next-Generation Sequencing (NGS)
  • Single Cell
  • proteomics and metabolomics
  • Structural Bioinformatics

 

Download Full Content: here 

Instructors:

 

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

Prof. Noha Yousri

  • Professor of Bioinformatics & Machine Learning, Alexandria University, Egypt
  • PhD in Computer Engineering, Alexandria University
  • Expert in bioinformatics, omics data analysis, and precision medicine

Dr. Mohamed Abuelanin

  • ​ postdoctoral researcher at the Genome Center of the University of California, Davis.
  • Ph.D. in Computer Science from UC Davis.
  • He specializes in developing computational methods for processing, integrating, and analyzing large-scale multi-omics data. 

Dr. Sherif Adel

  • PhD student in biochemistry department, university of tuebingen
  • Got my masters degree in pharmaceutical sciences from university of Toyama, Japan
  • Graduated at 2012 from faculty of pharmacy Misr international university (MIU)

Dr. Ebtesam AbdelRashid 

  • Postdoc at Bioinformatics unit, ICGEB, South Africa
  • Researcher at National Research Centre, Egypt

Dr. Mahmoud Bassyouni

  •  PhD in  University of Porto, alongside work as a research assistant in the iCulture project, focusing on exploring the link between seaweed genotypes and phenotypes using AI and machine learning techniques.
  • Master’s in Informatics from Nile University 
  • bachelor’s degree from Zewail City of Science and Technology 

Dr. Salma Sobhy

  • Teaching Assistant at the Graphene Center of Excellence, Faculty of Biotechnology at Nile University.
  •  Bachelor’s degree in Biotechnology from Cairo University and is currently pursuing a Master’s degree in Biotechnology, with an emphasis on biosensor manufacturing for miRNA marker detection.

Dr. Esraa Elmiligi

  • Teaching Assistant at Kazan Federal University
  • Master’s degree in transcriptomics Cairo University 

Dr. Engy Abdelkhalek 

  • Master Student at Nile University.. Skilled in scripting and automation ( Python-bash-R), Metagenomics analysis Benchmarking. Multi-omics data analysis beginner
  • There are 100 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.