We may earn an affiliate commission when you visit our partners.
Course image
Usama A. F. Khalil

In this 1-hour long project-based course, you will learn the basic building blocks in the Python language and how to Develop a Python 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.

Enroll now

Two deals to help you save

What's inside

Syllabus

Reverse and complement nucleic acid sequences (DNA, RNA) using Python
Welcome to Reverse and complement nucleic acid sequences (DNA, RNA) using Python 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 a Python program that constructs reverse, complement, and reverse-complement nucleic acid sequences (DNA, RNA) using Spyder Pythoon. 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 Python 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 the building blocks of Python, which is standard in data science, machine learning, and general programming
Develops skills relevant for learners interested in bioinformatics
Teaches learners how to read and interact with long DNA sequences
Offers a hands-on project-based learning experience
Builds a foundation in the programming language Python

Save this course

Save Reverse and complement nucleic acid sequences (DNA, RNA) using Python to your list so you can find it easily later:
Save

Reviews summary

Python for nucleic acid manipulation

Learners say Reverse and complement nucleic acid sequences (DNA, RNA) using Python is an effective course for refreshing and learning the core skill of reversing and complementing nucleic acid sequences in Python. While the course has received largely positive feedback, learners mention that the online platform can be slow and difficult to use.
Students learn the fundamental skill of reversing and complementing nucleic acid sequences
"You do learn the skill as described in the title of the project."
The learning platform can be slow and cumbersome to use, especially on a single monitor.
"However, the platform you use was slow and difficult to manipulate with just one screen."
The course lacks a description of how the acquired skill is used in professional industry settings.
"Additionally, a description of how the outputs are used for solutions in the real industry is lacking."

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 Python with these activities:
Read 'Beginning Python'
Review basic coding concepts to better prepare for this course.
Show steps
  • Explore the book's online resources for additional support.
  • Write short practice programs to reinforce your understanding.
Complete Python Tutorial from TutorialsPoint
Follow along with a guided tutorial to learn the basics of Python.
Browse courses on Python
Show steps
  • Read through the tutorial's text explanations.
  • Code along with the tutorial's examples.
  • Complete the tutorial's practice exercises.
Practice Python Coding Exercises on LeetCode
Solve coding challenges to enhance your Python skills.
Browse courses on Python
Show steps
  • Select easy-level problems to start.
  • Break down complex problems into smaller steps.
  • Use debugging tools to identify and fix errors.
  • Review solutions and learn from others' approaches.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Become a Python Tutor for Beginners
Help others learn Python while reinforcing your own understanding.
Browse courses on Python
Show steps
  • Join an online tutoring platform.
  • Create lesson plans for different Python concepts.
  • Provide personalized guidance to students.
  • Receive feedback from students to improve your teaching skills.
Develop a Python Program for DNA and RNA Analysis
Apply your Python skills to a real-world bioinformatics project.
Browse courses on Python
Show steps
  • Design a program to perform DNA and RNA analysis.
  • Implement functions for reverse, complement, and reverse-complement operations.
  • Test your program with sample DNA and RNA sequences.
  • Refactor your code for efficiency and readability.
Participate in a Python Coding Competition
Challenge yourself in a competitive environment to improve your Python skills.
Browse courses on Python
Show steps
  • Find a suitable Python coding competition.
  • Practice solving coding problems.
  • Participate in the competition and strive for a high score.
  • Analyze your performance and identify areas for improvement.
Create a Python Script for Data Analysis
Develop a data analysis project to showcase your Python skills.
Browse courses on Python
Show steps
  • Identify a dataset and define the analysis goals.
  • Write a Python script to import, clean, and analyze the data.
  • Visualize the results using appropriate charts and graphs.
  • Write a report summarizing the findings.

Career center

Learners who complete Reverse and complement nucleic acid sequences (DNA, RNA) using Python will develop knowledge and skills that may be useful to these careers:
Geneticist
A geneticist studies the structure, function, and inheritance of genes in living organisms. They may specialize in a particular area, such as human genetics, plant genetics, or animal genetics. This course helps build a foundation in the basics of genetics, with a focus on the structure and manipulation of nucleic acid sequences.
Molecular Biologist
A molecular biologist studies the structure and function of molecules that are found in living organisms. This course helps build a foundation in the basics of molecular biology, with a focus on the structure and manipulation of nucleic acid sequences.
Computational Biologist
A computational biologist applies concepts, theories, and methods from mathematics, computer science, physics, and engineering to biological problems. They develop algorithms, simulations, computer programs, databases, and theoretical models for basic research and industrial applications. This course helps build a foundation in the basic building blocks of computational biology, which involves Python and nucleic acid sequence analysis.
Bioinformatician
A bioinformatician designs and modifies algorithms and software for use by biologists and other life science professionals to model, simulate, and analyze biological data. This is a course typically taken by individuals studying computer science who wish to specialize in biological data. This course is in perfect alignment with the foundational skills of a bioinformatician.
Research Scientist
A research scientist conducts original research in a specific field of study, typically in a laboratory setting. This course may be useful in providing research scientists with the necessary knowledge in biological data sequence analysis.
Pharmacist
A pharmacist dispenses medications to patients, provides information about medications, and monitors patient progress to ensure optimal medication use. They may specialize in a particular area, such as oncology pharmacy, cardiology pharmacy, or infectious disease pharmacy. This course may be useful in providing pharmacists with the necessary knowledge in biological data sequence analysis.
Research Associate
A research associate conducts research in a specific field of study, typically under the supervision of a senior scientist or professor. This course may be useful in providing research associates with the necessary knowledge in biological data sequence analysis.
Medical Researcher
A medical researcher investigates the causes and treatments of diseases affecting humans. They may specialize in a particular area, such as cancer research, heart disease research, or infectious disease research. This course may be useful in providing medical researchers with the necessary knowledge in biological data sequence analysis.
Physician
A physician diagnoses and treats human diseases and injuries. They may specialize in a particular area, such as internal medicine, pediatrics, or surgery. This course may be useful in providing physicians with the necessary knowledge in biological data sequence analysis.
Quality Control Analyst
A quality control analyst ensures that products and services meet the required standards of quality. They may specialize in a particular area, such as food quality control, pharmaceutical quality control, or environmental quality control. This course may be useful in providing quality control analysts with the necessary knowledge in biological data sequence analysis.
Data Scientist
A data scientist collects, analyzes, interprets, and presents data to help organizations make informed decisions. This data is often biological in nature and requires specialized knowledge. This course may be useful in providing data scientists with the specific knowledge they need in biological data sequence analysis.
Postdoctoral Researcher
A postdoctoral researcher conducts original research in a specific field of study, typically under the supervision of a senior scientist or professor. This course may be useful in providing postdoctoral researchers with the necessary knowledge in biological data sequence analysis.
Statistician
A statistician collects, analyzes, interprets, and presents data to help organizations make informed decisions. This data is often biological in nature and requires specialized knowledge. This course may be useful in providing statisticians with the specific knowledge they need in biological data sequence analysis.
Professor
A professor conducts research and teaches students in a specific field of study at a college or university. This course may be useful in providing professors with the necessary knowledge in biological data sequence analysis.
Science Writer
A science writer communicates complex scientific information to a non-scientific audience. This course may be useful in providing science writers with the necessary knowledge in biological data sequence analysis.

Reading list

We've selected 15 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 Python.
Provides a practical introduction to algorithms in bioinformatics. It covers topics such as sequence alignment, gene finding, and phylogenetic analysis.
Provides a comprehensive overview of bioinformatics. It covers topics such as sequence analysis, gene finding, and phylogenetic analysis.
Provides a comprehensive overview of computational genomics. It covers topics such as sequence analysis, gene finding, and phylogenetic analysis.
Provides a comprehensive overview of genomics. It covers topics such as genome structure, function, and evolution.
Provides a practical introduction to Python for bioinformatics. It covers topics such as data structures, algorithms, and programming techniques.
Provides a comprehensive overview of bioinformatics. It covers topics such as sequence analysis, gene finding, and phylogenetic analysis.
Provides a comprehensive overview of Python programming. It covers topics such as data structures, algorithms, and programming techniques.
Provides a comprehensive overview of statistical methods in bioinformatics. It covers topics such as data analysis, hypothesis testing, and modeling.
Provides a comprehensive overview of Python programming. It covers topics such as data structures, algorithms, and programming techniques.
Provides a comprehensive overview of Python programming. It covers topics such as data structures, algorithms, and programming techniques.

Share

Help others find this course page by sharing it with your friends and followers:

Similar courses

Here are nine courses similar to Reverse and complement nucleic acid sequences (DNA, RNA) using Python.
Reverse and complement nucleic acid sequences (DNA, RNA)...
Most relevant
Biopython
Most relevant
Master Primer Designing & Polymerase Chain Reaction (PCR)
Biology Meets Programming: Bioinformatics for Beginners
Molecular Biology - Part 1: DNA Replication and Repair
Automating Cisco DNA Center Operations Using APIs
Algorithms for DNA Sequencing
Decryption with Python
x64 Assembly Language and Reverse Engineering Practicals
Our mission

OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.

Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.

Find this site helpful? Tell a friend about us.

Affiliate disclosure

We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.

Your purchases help us maintain our catalog and keep our servers humming without ads.

Thank you for supporting OpenCourser.

© 2016 - 2024 OpenCourser