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Usama A. F. Khalil

In this 1-hour long project-based course, you will learn the basic building blocks in the R language and how to Develop an R program that constructs reverse, complement, and reverse-complement nucleic acid sequences (DNA, RNA). Also, you will make your code read a file that has a long DNA sequence and deal with one of the complete genomes for the novel coronavirus.

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What's inside

Syllabus

Reverse and complement nucleic acid sequences (DNA, RNA) using R
Welcome to Reverse and complement nucleic acid sequences (DNA, RNA) using R Project! You’re joining thousands of learners currently enrolled in the Rhyme guided project program. I'm excited to have you in the class and look forward to your contributions to the learning community. To begin, I recommend taking a few minutes to explore the course site. Review the material we’ll cover during the project, and preview the assignments you’ll need to complete to pass the course. Click Discussions to see forums where you can discuss the course material with fellow students taking the class. By the end of this project, you will create an R program that constructs reverse, complement, and reverse-complement nucleic acid sequences (DNA, RNA) using R. Finally you will learn how to read a file that has a long DNA sequence and then apply the code to the data in the file. We will use the novel coronavirus genome for this. Along the way, you will learn the basic building blocks in the R language. If you have questions about course content, please post them in the forums to get help from others in the course community. For technical problems with the Coursera platform, visit the Learner Help Center. Good luck as you get started and I hope you enjoy the course!

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Explores foundational biological and computational biology concepts
Tailored for beginners in the field of bioinformatics
Hands-on project-based approach to learning
Led by an experienced instructor in bioinformatics
Introduces cutting-edge tools and techniques in bioinformatics
Involves real-world applications in bioinformatics

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Reviews summary

Dna and rna course using r

learners say this course is excellent for beginners and highly recommended for those interested in analyzing DNA and RNA sequences using R. The interactive assignments and projects are especially well received. However, some learners found the course to be too short and one learner commented that the instructor's pronunciation made it difficult to understand.
Engaging assignments and projects.
"Excellent project"
"The assignments and projects are very interactive and helpful."
"I enjoyed the hands-on approach of this course."
Suitable for learners new to R.
"Great for beginners"
"This course is designed for beginners and covers the basics of R."
"I would recommend this course to all my friends. It is a very interesting and beginner-friendly course."
One learner had difficulty understanding the instructor's pronunciation.
"The instructor's English pronunciation is not so good."
Some learners found the course too short.
"Too short"
"I wish the course was longer."

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 Reverse and complement nucleic acid sequences (DNA, RNA) using R with these activities:
Read 'Bioinformatics Data Skills: Translating Biological Data into Meaningful Information' by Vince Buffalo
Provides a strong foundation in bioinformatics and data analysis techniques, which will be essential for understanding the concepts covered in this course.
Show steps
  • Read the introduction and first three chapters of the book.
  • Complete the exercises at the end of each chapter.
  • Summarize the key concepts covered in the chapters.
Solve practice problems on reverse and complementing DNA sequences
Reinforces the concepts of reverse and complementing DNA sequences and helps develop proficiency in using R for these tasks.
Browse courses on DNA Sequencing
Show steps
  • Find a set of practice problems online or in a textbook.
  • Solve the problems using R.
  • Check your answers against the provided solutions.
Follow online tutorials on advanced R programming techniques for bioinformatics
Expands knowledge and skills in R programming specifically for bioinformatics applications.
Browse courses on R Programming
Show steps
  • Identify reputable online tutorials on advanced R programming for bioinformatics.
  • Follow the tutorials and complete the accompanying exercises.
  • Apply the learned techniques to your own bioinformatics projects.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Volunteer at a local research lab or organization that uses R for bioinformatics
Offers practical experience in applying R programming skills to real-world bioinformatics projects.
Browse courses on Bioinformatics
Show steps
  • Identify research labs or organizations that use R for bioinformatics.
  • Contact the lab or organization to inquire about volunteer opportunities.
  • Assist with bioinformatics projects and tasks using R programming.
Develop an R program to analyze a real-world DNA sequence dataset
Applies the skills learned in the course to a practical problem, enhancing understanding of real-world applications.
Browse courses on DNA Analysis
Show steps
  • Find a publicly available DNA sequence dataset.
  • Develop an R program to analyze the dataset.
  • Write a report summarizing your findings.
Participate in bioinformatics competitions or hackathons
Provides a challenging and motivating environment to apply and test skills in bioinformatics and R programming.
Browse courses on Bioinformatics
Show steps
  • Find bioinformatics competitions or hackathons that align with your interests.
  • Form a team or work individually on the competition.
  • Develop solutions to the competition challenges using R programming.
Create a web application that allows users to input their own DNA sequences and perform reverse and complement operations
Integrates skills in R programming, web development, and bioinformatics, providing a comprehensive project experience.
Browse courses on Web Development
Show steps
  • Design the user interface for the web application.
  • Develop the backend code for the application.
  • Deploy the application to a web server.

Career center

Learners who complete Reverse and complement nucleic acid sequences (DNA, RNA) using R will develop knowledge and skills that may be useful to these careers:
Bioinformatician
A Bioinformatics Scientist is responsible for analyzing and interpreting biological data, such as DNA and RNA sequences. This course, Reverse and complement nucleic acid sequences (DNA, RNA) using R, will help you build a foundation in the R language and learn how to analyze and manipulate biological data. This knowledge and skill set is essential for a successful career as a Bioinformatics Scientist.
Data Scientist
A Data Scientist uses data to solve problems and make decisions. This course, Reverse and complement nucleic acid sequences (DNA, RNA) using R, will help you develop the skills necessary to analyze and interpret data. This knowledge and skill set is essential for a successful career as a Data Scientist.
Pharmacologist
A Pharmacologist studies the effects of drugs on the body. This course, Reverse and complement nucleic acid sequences (DNA, RNA) using R, will help you develop the skills necessary to analyze and interpret pharmacological data. This knowledge and skill set is essential for a successful career as a Pharmacologist.
Molecular Biologist
A Molecular Biologist studies the structure and function of molecules. This course, Reverse and complement nucleic acid sequences (DNA, RNA) using R, will help you develop the skills necessary to analyze and interpret molecular data. This knowledge and skill set is essential for a successful career as a Molecular Biologist.
Geneticist
A Geneticist studies genes and heredity. This course, Reverse and complement nucleic acid sequences (DNA, RNA) using R, will help you develop the skills necessary to analyze and interpret genetic data. This knowledge and skill set is essential for a successful career as a Geneticist.
Computational Biologist
A Computational Biologist uses computer science and mathematics to study biological data. This course, Reverse and complement nucleic acid sequences (DNA, RNA) using R, will help you develop the skills necessary to analyze and interpret biological data. This knowledge and skill set is essential for a successful career as a Computational Biologist.
Medical Scientist
A Medical Scientist conducts research to improve human health. This course, Reverse and complement nucleic acid sequences (DNA, RNA) using R, will help you develop the skills necessary to analyze and interpret medical data. This knowledge and skill set is essential for a successful career as a Medical Scientist.
Physician
A Physician is responsible for the diagnosis and treatment of patients. This course, Reverse and complement nucleic acid sequences (DNA, RNA) using R, may help you develop the skills necessary to analyze and interpret medical data. This knowledge and skill set can be helpful for a successful career as a Physician.
Project Manager
A Project Manager is responsible for planning, coordinating, and executing projects. This course, Reverse and complement nucleic acid sequences (DNA, RNA) using R, may help you develop the skills necessary to manage projects. This knowledge and skill set can be helpful for a successful career as a Project Manager.
Quality Assurance Analyst
A Quality Assurance Analyst is responsible for ensuring the quality of products and services. This course, Reverse and complement nucleic acid sequences (DNA, RNA) using R, may help you develop the skills necessary to analyze and interpret data. This knowledge and skill set can be helpful for a successful career as a Quality Assurance Analyst.
Research Scientist
A Research Scientist is responsible for conducting research and developing new knowledge. This course, Reverse and complement nucleic acid sequences (DNA, RNA) using R, may help you develop the skills necessary to analyze and interpret data. This knowledge and skill set can be helpful for a successful career as a Research Scientist.
Science Writer
A Science Writer is responsible for communicating scientific information to the public. This course, Reverse and complement nucleic acid sequences (DNA, RNA) using R, may help you develop the skills necessary to analyze and interpret scientific data. This knowledge and skill set can be helpful for a successful career as a Science Writer.
Technical Writer
A Technical Writer is responsible for creating documentation and instructions for technical products and services. This course, Reverse and complement nucleic acid sequences (DNA, RNA) using R, may help you develop the skills necessary to communicate technical information clearly and concisely. This knowledge and skill set can be helpful for a successful career as a Technical Writer.
Software Engineer
A Software Engineer is responsible for designing, developing, and maintaining software. This course, Reverse and complement nucleic acid sequences (DNA, RNA) using R, may help you develop the skills necessary to analyze and interpret data. This knowledge and skill set can be helpful for a successful career as a Software Engineer.
Statistician
A Statistician is responsible for collecting, analyzing, and interpreting data. This course, Reverse and complement nucleic acid sequences (DNA, RNA) using R, may help you develop the skills necessary to analyze and interpret data. This knowledge and skill set can be helpful for a successful career as a Statistician.

Reading list

We've selected 13 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 Reverse and complement nucleic acid sequences (DNA, RNA) using R.
Provides a comprehensive overview of the R programming language and its applications in bioinformatics. It covers topics such as data manipulation, statistical analysis, and visualization, which are essential skills for working with nucleic acid sequences.
Provides a gentle introduction to the R programming language and its applications in bioinformatics. It covers topics such as data import, data cleaning, and statistical analysis, which are essential skills for working with nucleic acid sequences.
Provides an introduction to the Python programming language and its applications in bioinformatics. It covers topics such as data manipulation, statistical analysis, and visualization, which are essential skills for working with nucleic acid sequences.
Provides a comprehensive overview of bioinformatics and computational biology. It covers topics such as sequence analysis, gene expression analysis, and protein structure prediction, which are relevant to working with nucleic acid sequences.
Provides a gentle introduction to the Python programming language and its applications in bioinformatics. It covers topics such as data import, data cleaning, and statistical analysis, which are essential skills for working with nucleic acid sequences.
Provides a comprehensive overview of molecular biology. It covers topics such as DNA structure and function, gene expression, and protein synthesis, which are essential background knowledge for working with nucleic acid sequences.
Provides an introduction to the Python programming language and its applications in data analysis. It covers topics such as data manipulation, statistical analysis, and visualization, which are essential skills for working with nucleic acid sequences.
Provides a comprehensive overview of biochemistry. It covers topics such as protein structure and function, enzyme catalysis, and nucleic acid metabolism, which are essential background knowledge for working with nucleic acid sequences.
Provides a gentle introduction to the Python programming language and its applications in automating tasks. It covers topics such as web scraping, data manipulation, and file handling, which are useful skills for working with nucleic acid sequences.
Provides a comprehensive overview of biology. It covers topics such as cell biology, genetics, and evolution, which are essential background knowledge for working with nucleic acid sequences.
Provides a quick and easy introduction to the Python programming language. It covers topics such as data types, control flow, and functions, which are essential skills for working with nucleic acid sequences.

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