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Usama A. F. Khalil

في هذه الدورة التدريبية القائمة على المشروع والتي تستغرق ساعة واحدة ، ستتعلم اللبنات الأساسية في لغة R وكيفية تطوير برنامج R الذي يبني متواليات الحمض النووي (DNA ، RNA) العكسية والمكملة والعكسية-المكملة. أيضًا، ستجعل برنامجك يقرأ ملفًا يحتوي على تسلسل DNA وتتعامل مع أحد الجينومات الكاملة لفيروس كورونا.

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What's inside

Syllabus

عكس وتكامل تسلسل الحمض النووي (DNA ، RNA) باستخدام R
مرحبًا بكم في مشروع تسلسل الحمض النووي العكسي والمكمل (DNA ، RNA) باستخدام R! أنت تنضم إلى آلاف المتعلمين المسجلين حاليًا في برنامج مشروع Rhyme الإرشادي. أنا متحمس لوجودك في الفصل وأتطلع إلى مساهماتك في مجتمع التعلم. للبدء، أوصي بأخذ بضع دقائق لاستكشاف موقع الدورة التدريبية. راجع المواد التي سنغطيها أثناء المشروع، وعاين المهام التي ستحتاج لإكمالها لاجتياز الدورة التدريبية. انقر فوق المناقشات لرؤية المنتديات حيث يمكنك مناقشة مواد الدورة التدريبية مع زملائك الطلاب الذين يحضرون الفصل. بنهاية هذا المشروع، ستنشئ برنامج R الذي يبني تسلسلات الحمض النووي العكسية (DNA ، RNA) والمكملة والعكسية-المكملة باستخدام R. أخيرًا ستتعلم كيفية قراءة ملف يحتوي على تسلسل DNA وتطبيق الكود على البيانات الموجودة في الملف. سوف نستخدم جينوم فيروس كورونا الجديد لهذا الغرض. على طول الطريق، ستتعلم اللبنات الأساسية في لغة R. إذا كانت لديك أسئلة حول محتوى الدورة التدريبية، فيرجى نشرها في المنتديات للحصول على المساعدة من الآخرين في مجتمع الدورة التدريبية. بالنسبة للمشكلات الفنية المتعلقة بمنصة كورسيرا، قم بزيارة مركز مساعدة المتعلم. حظًا سعيدًا عند البدء وأتمنى أن تستمتع بالدورة!

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Suitable for those new to R programming and genomics
Imparts fundamental principles of R language
Designed for learners who want to enhance their knowledge of molecular biology and bioinformatics
Led by instructors with extensive experience in computational biology
Aligned with the curriculum of academic programs in bioinformatics
Provides practical insights through hands-on exercises and analysis of real-world data

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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 عكس وتكامل تسلسل الحمض النووي (DNA ، RNA) باستخدام R with these activities:
اجمع مواد الدورة وقم بملاحظات عليها
ستساعدك عملية جمع المواد الدراسية في الحفاظ على تنظيمك ودوافعك طوال فترة الدورة.
Show steps
  • قم بتنزيل مواد الدورة
  • قم بعمل ملاحظات أثناء المحاضرات والمواد
  • قم بتنظيم ملاحظاتك في مجلد أو دفتر ملاحظات
شارك في مجموعات دراسية مع زملائك
ستوفر لك المشاركة في مجموعات الدراسية فرصة لمناقشة المفاهيم مع الآخرين وتلقي الملاحظات.
Show steps
  • انضم إلى مجموعة دراسية
  • شارك في مناقشات المجموعة
  • اطلب المساعدة من زملائك عند الحاجة
تطوع في مشروع بحثي يتعلق بتحليل تسلسل الحمض النووي
سيمنحك التطوع في مشروع بحثي خبرة عملية في مجال تحليل تسلسل الحمض النووي.
Show steps
  • ابحث عن مشاريع بحثية تتطوع فيها
  • اتصل بمحقق المشروع
  • تقديم المساعدة في جمع أو تحليل البيانات
One other activity
Expand to see all activities and additional details
Show all four activities
حضر ورشة عمل حول تحليل تسلسل الحمض النووي
ستوفر لك ورشة العمل فرصة لتعلم مهارات جديدة وتوسيع معرفتك حول تحليل تسلسل الحمض النووي.
Show steps
  • ابحث عن ورش عمل حول تحليل تسلسل الحمض النووي
  • سجل في ورشة العمل
  • حضور ورشة العمل

Career center

Learners who complete عكس وتكامل تسلسل الحمض النووي (DNA ، RNA) باستخدام R will develop knowledge and skills that may be useful to these careers:
Biostatistician
Biostatisticians use statistical methods to analyze and interpret data in the field of biology. This course provides a solid foundation in the programming language R, which is extensively used in biostatistics. By learning how to build inverse and complementary DNA and RNA sequences using R, you will gain valuable skills for analyzing genetic data and developing statistical models in biostatistical research.
Computational Biologist
Computational biologists use computational tools and techniques to study biological systems. This course provides a strong foundation in the R programming language, which is widely used in computational biology. By learning how to build inverse and complementary DNA and RNA sequences using R, you will gain essential skills for developing algorithms and models to analyze and simulate biological data.
Bioinformatician
Bioinformaticians use computer science and information technology to manage and analyze biological data. This course provides a solid foundation in the R programming language, which is essential for bioinformatics analysis. By learning how to build inverse and complementary DNA and RNA sequences using R, you will gain valuable skills for developing bioinformatics pipelines and tools for data analysis and interpretation.
Genetic Counselor
Genetic counselors provide information and support to individuals and families affected by genetic conditions. This course provides a foundation in the programming language R, which is increasingly used in genetic counseling for data analysis and interpretation. By learning how to build inverse and complementary DNA and RNA sequences using R, you will gain valuable skills for understanding and communicating genetic information to patients and families.
Research Scientist
Research scientists conduct scientific research in various fields, including biology, medicine, and computer science. This course provides a solid foundation in the R programming language, which is essential for data analysis and modeling in scientific research. By learning how to build inverse and complementary DNA and RNA sequences using R, you will gain valuable skills for analyzing genetic data and developing computational models in your research.
Data Analyst
Data analysts collect, clean, and analyze data to extract meaningful insights. This course provides a strong foundation in the R programming language, which is widely used in data analysis. By learning how to build inverse and complementary DNA and RNA sequences using R, you will gain essential skills for analyzing and interpreting biological data, which is becoming increasingly important in various industries.
Software Engineer
Software engineers design, develop, and maintain software systems. This course provides a foundation in the R programming language, which is used in various software development projects, including bioinformatics tools and medical applications. By learning how to build inverse and complementary DNA and RNA sequences using R, you will gain valuable skills for developing software solutions in the healthcare and biotechnology industries.
Quality Assurance Analyst
Quality assurance analysts ensure that software products meet quality standards. This course provides a foundation in the R programming language, which is used in software testing and quality assurance. By learning how to build inverse and complementary DNA and RNA sequences using R, you will gain valuable skills for developing test cases and analyzing software performance in the healthcare and biotechnology industries.
Medical Writer
Medical writers create and edit medical and scientific content. This course provides a foundation in the R programming language, which is increasingly used in medical writing for data analysis and visualization. By learning how to build inverse and complementary DNA and RNA sequences using R, you will gain valuable skills for understanding and communicating complex scientific information in medical writing.
Science Teacher
Science teachers educate students in science subjects, including biology and computer science. This course provides a solid foundation in the R programming language, which is increasingly used in science education for data analysis and modeling. By learning how to build inverse and complementary DNA and RNA sequences using R, you will gain valuable skills for teaching genetics and bioinformatics concepts to students.
Technical Writer
Technical writers create and edit technical documentation. This course provides a foundation in the R programming language, which is used in technical writing for data analysis and visualization. By learning how to build inverse and complementary DNA and RNA sequences using R, you will gain valuable skills for understanding and communicating complex technical information in software documentation and user manuals.
Project Manager
Project managers plan and execute projects. This course provides a foundation in the R programming language, which is increasingly used in project management for data analysis and reporting. By learning how to build inverse and complementary DNA and RNA sequences using R, you will gain valuable skills for analyzing project data and developing project plans and reports.
Business Analyst
Business analysts identify and analyze business needs. This course provides a foundation in the R programming language, which is increasingly used in business analysis for data analysis and visualization. By learning how to build inverse and complementary DNA and RNA sequences using R, you will gain valuable skills for understanding and communicating complex business data.
Market Researcher
Market researchers study market trends and consumer behavior. This course provides a foundation in the R programming language, which is increasingly used in market research for data analysis and visualization. By learning how to build inverse and complementary DNA and RNA sequences using R, you will gain valuable skills for understanding and communicating complex market data.
Financial Analyst
Financial analysts evaluate and recommend investments. This course provides a foundation in the R programming language, which is increasingly used in financial analysis for data analysis and modeling. By learning how to build inverse and complementary DNA and RNA sequences using R, you will gain valuable skills for understanding and analyzing financial data.

Reading list

We've selected 14 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 عكس وتكامل تسلسل الحمض النووي (DNA ، RNA) باستخدام R.
Classic textbook of molecular biology. It covers a wide range of topics, including the structure and function of DNA, RNA, and proteins, as well as the regulation of gene expression.
Comprehensive introduction to the R programming language, which is widely used in bioinformatics. It covers a wide range of topics, including data manipulation, data visualization, and statistical analysis.
Provides a comprehensive overview of machine learning techniques that are used in bioinformatics. It covers topics such as supervised learning, unsupervised learning, and feature selection.
Provides an overview of bioinformatics, preparing learners for the material covered in this course. Discusses DNA and RNA sequencing, genome analysis, and protein structure prediction.
Covers advanced topics in bioinformatics, including sequence analysis, gene expression analysis, and protein structure prediction. Provides a practical guide to using bioinformatics tools and databases.
Focuses on algorithms used in bioinformatics, providing a detailed look at sequence alignment, phylogenetic tree construction, and gene finding. Suitable for learners with a strong background in computer science.
Provides an in-depth look at DNA replication, covering the structure and function of DNA polymerases, the replication process, and DNA repair mechanisms. Serves as a reference for understanding the fundamental processes of DNA replication.
Provides a comprehensive overview of bioinformatics, covering sequence analysis, genome analysis, and gene expression analysis. Discusses algorithms and tools used in bioinformatics.
Introduces Python programming for bioinformatics, covering data structures, algorithms, and programming techniques specifically designed for biological data analysis.
Covers statistical methods used in bioinformatics, including hypothesis testing, regression analysis, and machine learning. Provides a practical guide to using statistical tools and techniques.
Provides a broad overview of molecular biology, covering DNA and RNA structure and function, gene expression, and protein synthesis. Serves as a foundational text for understanding the biological context of bioinformatics.

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