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Usama A. F. Khalil
في هذه الدورة التدريبية القائمة على المشروع والتي تستغرق ساعة واحدة، ستتعلم كيفية تحليل جينوم فيروسي كامل باستخدام طرق هندسية (الانحراف ومنحنى زد)، والتخطيط ثنائي وثلاثي الأبعاد في بايثون، وكيفية استخدام بعض مكتبات Python المهمة ( مثل Tkinter و Matplotlib و...
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في هذه الدورة التدريبية القائمة على المشروع والتي تستغرق ساعة واحدة، ستتعلم كيفية تحليل جينوم فيروسي كامل باستخدام طرق هندسية (الانحراف ومنحنى زد)، والتخطيط ثنائي وثلاثي الأبعاد في بايثون، وكيفية استخدام بعض مكتبات Python المهمة ( مثل Tkinter و Matplotlib و NumPy) لمساعدتك على تحقيق ذلك. سوف تتعرف أيضًا على جينومات بعض الفيروسات بما في ذلك فيروسات كورونا، والسارس، وفيروسات نقص المناعة البشرية، وزيكا، والفيروس العُشي (نيدوفيروس)، والحصبة الألمانية وفيروسات الألتهاب الكبدي.
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Provides a hands-on, project-based learning experience that reinforces theoretical concepts and practical implementation for viral genome analysis
Introduces learners to specialized Python libraries and functions (e.g., NumPy, Matplotlib, Tkinter) relevant to bioinformatics and data visualization
Offers practical insights into the techniques used by researchers for data interpretation and analysis
Covers a range of viral genomes, including those of prevalent viruses such as SARS-CoV-2, SARS, HIV, and Hepatitis, providing real-world examples for learners' exploration
Led by Usama A. F. Khalil, an established researcher in bioinformatics, offering learners access to expert knowledge and insights

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in نهج هندسي لتحليل الجينوم: الانحراف ومنحنى زد with these activities:
Create a Course Summary
Enhance your understanding by summarizing the key concepts and techniques covered in the course.
Show steps
  • Review course materials, including lectures, readings, and assignments.
  • Identify the main topics and concepts discussed.
  • Summarize each topic in your own words, highlighting important details and examples.
Seek Guidance from Experts
Connect with experienced professionals in the field to gain valuable insights and guidance.
Show steps
  • Identify potential mentors through LinkedIn, conferences, or research.
  • Reach out to mentors and express your interest in their mentorship.
  • Establish a regular communication schedule.
Review Python Basics
Review the fundamental concepts of Python to ensure a strong foundation for the course.
Browse courses on Python Basics
Show steps
  • Revisit online tutorials or documentation on Python basics.
  • Complete simple Python exercises and coding challenges.
One other activity
Expand to see all activities and additional details
Show all four activities
Practice Viral Genome Analysis
Hone your skills in analyzing viral genomes by practicing with various datasets.
Show steps
  • Obtain viral genome datasets from public databases (e.g., NCBI).
  • Analyze the genomes using Python libraries (e.g., Biopython, SeqIO).
  • Interpret the results and draw conclusions about the virus's characteristics.

Career center

Learners who complete نهج هندسي لتحليل الجينوم: الانحراف ومنحنى زد will develop knowledge and skills that may be useful to these careers:
Bioinformatics Scientist
A Bioinformatics Scientist uses computer programming and software to analyze and interpret biological data. With the knowledge and skills learned in the course, one can analyze a viral genome, plan it in 3D, and even identify different strains of viruses. These are all essential skills for a Bioinformatics Scientist to have. The course uses Python, and as a Bioinformatics Scientist, you will be expected to use Python as well.
Computational Biologist
A Computational Biologist studies the interface between biology, computer science, and information technology. The course's focus on analyzing viral genomes using engineering methods, 3D planning, and Python will be a major benefit to a Computational Biologist. The course will especially help with analyzing and interpreting biological data, which is a large part of the job.
Data Scientist
A Data Scientist uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from data in various forms, both structured and unstructured. A course on analyzing viral genomes using engineering methods, 3D planning, and Python is a good first step toward a career as a Data Scientist, who is expected to have similar skills.
Epidemiologist
An Epidemiologist investigates patterns and causes of disease and other health problems in a population. Knowledge of viral genomes, how to analyze and plan them in 3D, and how to use Python to do this, are all skills that an Epidemiologist could use in their work. These skills will help build a foundation for a career in Epidemiology.
Geneticist
A Geneticist studies genes, heredity, and genetic variation in living organisms. In this course, you will analyze viral genomes, including the genomes of viruses like COVID-19, SARS, HIV, and Hepatitis. This makes the course very useful for aspiring Geneticists.
Healthcare Data Analyst
A Healthcare Data Analyst collects, analyzes, and interprets healthcare data to improve patient care and outcomes. This course in analyzing viral genomes using engineering methods, 3D planning, and Python would be useful for working with healthcare data.
Laboratory Scientist
A Laboratory Scientist performs laboratory tests to analyze body fluids, tissues, and cells. The knowledge and skills that you will learn in this course will help lay a foundation for a career as a Laboratory Scientist. Specifically, your knowledge in how to analyze viral genomes will be useful.
Medical Physicist
A Medical Physicist applies the principles of physics to medicine and healthcare. The course's use of engineering methods, 3D planning, and Python can help provide a background for those who want to be Medical Physicists.
Microbiologist
A Microbiologist studies microorganisms, which include bacteria, archaea, viruses, algae, fungi, and protozoa. This course in analyzing viral genomes, using engineering methods, 3D planning, and Python will help provide a foundation for those who want to be Microbiologists.
Pathologist
A Pathologist studies the causes and effects of disease. The course uses engineering methods, 3D planning, and Python to analyze viral genomes, which can help provide a foundation in the basics of pathology.
Pharmacist
A Pharmacist dispenses medications and provides information about their use. Pharmacists are often the first point of contact for patients with questions about their medications. They must be able to analyze and interpret medical information and communicate effectively with patients. This course can help build a foundation for these skills, especially with regards to analyzing medical data.
Physician Assistant
A Physician Assistant provides medical care under the supervision of a physician. They typically have a bachelor's degree in a science-related field and complete a two-year physician assistant program. The knowledge and skills learned in this course will help build a foundation for a career as a Physician Assistant, especially with regards to analyzing and interpreting medical data.
Physician
A Physician is a medical professional who diagnoses and treats diseases. They typically have a bachelor's degree in a science-related field and complete a four-year medical school program. The knowledge and skills learned in this course can help build a foundation for a career as a Physician, especially with regards to analyzing and interpreting medical data.
Research Scientist
A Research Scientist conducts research in a specific field of science. They typically have a PhD in their field of study. The knowledge and skills learned in this course may be useful for Research Scientists who work in the field of genomics.
Science Teacher
A Science Teacher teaches science courses at the high school or college level. They typically have a bachelor's degree in science education or a related field. The knowledge and skills learned in this course may be useful for Science Teachers who teach biology or chemistry.

Reading list

We've selected six books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in نهج هندسي لتحليل الجينوم: الانحراف ومنحنى زد.
Provides a comprehensive overview of bioinformatics data skills, including data management, analysis, and visualization. It is written in a clear and concise style, and is suitable for both beginners and experienced users.
Provides a practical guide to using Python for biological data analysis. It covers a wide range of topics, including data preprocessing, statistical analysis, and machine learning.
Provides a comprehensive overview of genome analysis. It covers a wide range of topics, including genome sequencing, assembly, and annotation.
Provides a practical guide to statistical methods in bioinformatics. It covers a wide range of topics, including data preprocessing, statistical analysis, and machine learning.
Provides a practical guide to bioinformatics. It covers a wide range of topics, including data management, analysis, and visualization.
Provides a comprehensive overview of essential bioinformatics. It covers a wide range of topics, including data management, analysis, and visualization.

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