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3D SARS-CoV-19 Protein Visualization With Biopython

In this project you will create an interactive three-dimensional (3D) representation of SARS-CoV-19 (Coronavirus) protein structures & publication-quality pictures of the same, understand properties of SARS-CoV-19 genome, handle biological sequence data stored in FASTA & PDB (Protein Data Bank) and XML format, and get insights from this data using Biopython. This hands-on project will also give you a glimpse of tasks a Bioinformatician performs on a daily basis, along with the up-to-date concepts and database use cases in the field of Medical Research and Human genetics.

In this project, we will also cover basics about important databases used by biologists and biotechnologists, along with the type of sequence data we can access and visualize from these databases using Biopython & Jupyter notebook.

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Syllabus

Project Overview : 3D SARS-CoV-19 Protein Visualisation with Biopython

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Explores molecular structures, which is standard in Medical Research

Emphasizes Genome Analysis, a core skill for Human Genetics researchers

Taught by Bhagesh Hunakunti, who is recognized for their work in Bioinformatics

Involves hands-on work mimicking daily tasks of a Bioinformatician

Requires prerequisites, but they are not explicitly stated

Involves potentially costly subscriptions or exam fees

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Reviews summary

Accessible biopython project

Learners say that this course offers step-by-step guidance on how to use Biopython for 3D SARS-CoV-19 Protein Visualization. It provides engaging assignments that are well-explained and easy to follow, even without extensive Python experience. Students appreciate that the course is practical and easy to implement in their own work. They also note that the cloud workspace and jupyter notebook are excellent mediums for learning. However, some students have experienced technical issues that have hindered their progress.

Course assumes some prior knowledge of Python programming.

"Very interesting and informative, the courses are easy to follow, but you need to have a basic python skill and know how to use the jupyter notebook."

"This is really fun to do and exciting! but you need some background on python.....so i recommend taking a course or going through a few vids before starting this."

Course provides ample resources to support the learning process.

"Instructor teaches at a very good pace."

"Great introduction on the functions and features of the BioPython library. Author does a wonderful job going through the project step-by-step in a clear and approachable manner."

"The jupyter notebook on the cloud workspace is an excellent medium that allows students to learn the material by doing the work themselves."

Course is easy to understand.

"Well taught and easy to understand and implement in our own project work!"

"It was very well taught by the instructor, easy to understand"

"Well taught and easy to understand and implement in our own project work!"

Some factual inaccuracies may be present in the course materials.

"Very slick interface to the workspace. Course feels too rushed, and contains too many factual errors. You always learn something, but don't trust everything said."

Course could use improvements in its technical stability.

"I couldn't understand many steps, I think the lecturer assumes that we understand all the concepts and tools. Not satisfied"

"Works only thru the platform? when you want to try it out for yourself either on web jupyter or installed, NOTHING works. It`s impossible to install nglview, no modules or libraries are imported, just nothing. Don't waste your time on this."

"I appreciate what the instructor has created but was booted out of the cloud access and am now unable to see the rest of the code to complete the visualization."

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 3D SARS-CoV-19 Protein Visualization With Biopython with these activities:

Review basic programming concepts before the course

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Refresh your programming skills to ensure a strong foundation for the bioinformatics techniques covered in this course.

Browse courses on Programming

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Review basic programming concepts (variables, data types, loops, functions)
Practice writing simple Python scripts

Attend a bioinformatics conference or webinar

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Connect with experts and learn about the latest advancements in bioinformatics.

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Identify relevant bioinformatics conferences or webinars
Register and attend the event
Network with professionals in the field
Stay updated on the latest research and trends

Organize and review your course materials

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Improve your understanding and retention by organizing and reviewing your course materials.

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Gather all relevant course materials (notes, assignments, quizzes, exams)
Organize the materials in a logical manner
Review the materials regularly

Six other activities

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Review 'Bioinformatics: A Practical Guide to the Analysis of Genes and Proteins' by Andreas D. Baxevanis and B. F. Francis Ouellette

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Expand your knowledge of bioinformatics concepts and techniques essential for this course.

View Bioinformatics: A Practical Guide To The... on Amazon

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Read chapters relevant to the course topics
Summarize key concepts and make notes

Explore the PDB database using tutorials

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Master the art of navigating the Protein Data Bank (PDB) database to access and understand 3D protein structures.

Browse courses on PDB

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Follow online tutorials to understand the structure of the PDB database
Learn to search and retrieve protein structures of interest
Analyze and visualize protein structures using PDB viewers

Interpreting data using Biopython

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Solidify your understanding of data manipulation and interpretation techniques in Biopython.

Browse courses on Biopython

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Load a sequence into Biopython from a FASTA or PDB file
Extract specific regions of the sequence
Analyze sequence features like GC content and codon usage
Visualize the sequence using Biopython's visualization tools

Explain a bioinformatics concept through a blog post or video tutorial

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Deepen your understanding and engage with the bioinformatics community by creating educational content.

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Choose a bioinformatics concept to explain
Gather relevant information and resources
Create your blog post or video tutorial
Share your content with the bioinformatics community

Develop a personal bioinformatics project

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Test your skills by undertaking a personal bioinformatics project to explore a topic of your interest.

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Brainstorm and select a project idea
Gather and prepare your data
Apply bioinformatics techniques to analyze your data
Interpret your results and draw conclusions
Present your findings in a report or presentation

Contribute to open-source bioinformatics projects

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Gain practical experience and make a valuable contribution to the bioinformatics community.

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Identify open-source bioinformatics projects of interest
Review the project documentation and code
Make code contributions or improve documentation
Collaborate with other contributors

Career center

Learners who complete 3D SARS-CoV-19 Protein Visualization With Biopython will develop knowledge and skills that may be useful to these careers:

Bioinformatics Scientist

Bioinformatics Scientists use computational tools to analyze and interpret biological data, which can include protein structures. This course provides a solid foundation in the use of Biopython and other tools that can be used to visualize and analyze protein structures, making it a valuable resource for aspiring Bioinformatics Scientists.

See salaries and explore the career path for Bioinformatics Scientist

Computational Biologist

Computational Biologists use computational methods to study biological systems, which can include protein structures. This course provides a hands-on introduction to the use of Biopython and other tools that can be used to visualize and analyze protein structures, making it a helpful resource for those interested in a career in Computational Biology.

See salaries and explore the career path for Computational Biologist

Biomedical Engineer

Biomedical Engineers use engineering principles to solve problems in biology and medicine, which can include the design of new medical devices and therapies. This course provides a foundation in the use of Biopython and other tools that can be used to visualize and analyze protein structures, which is relevant to the work of Biomedical Engineers.

See salaries and explore the career path for Biomedical Engineer

Research Scientist

Research Scientists conduct research in a variety of fields, including biology and medicine. This course provides a foundation in the use of Biopython and other tools that can be used to visualize and analyze protein structures, which is relevant to the work of Research Scientists in these fields.

See salaries and explore the career path for Research Scientist

Science Writer

Science Writers communicate complex scientific concepts to a non-specialist audience. This course provides a foundation in the use of Biopython and other tools that can be used to visualize and analyze protein structures, which can be helpful for Science Writers who need to communicate about these topics.

See salaries and explore the career path for Science Writer

Medical Physicist

Medical Physicists use physics principles to solve problems in medicine, which can include the development of new medical imaging techniques. This course provides a foundation in the use of Biopython and other tools that can be used to visualize and analyze protein structures, which is relevant to the work of Medical Physicists.

See salaries and explore the career path for Medical Physicist

Biostatistician

Biostatisticians use statistical methods to analyze biological data, which can include protein structures. This course provides a foundation in the use of Biopython and other tools that can be used to visualize and analyze protein structures, which is relevant to the work of Biostatisticians.

See salaries and explore the career path for Biostatistician

Data Scientist

Data Scientists use data analysis techniques to solve problems in a variety of fields, including biology and medicine. This course provides a foundation in the use of Biopython and other tools that can be used to visualize and analyze protein structures, which is relevant to the work of Data Scientists in these fields.

See salaries and explore the career path for Data Scientist

Laboratory Technician

Laboratory Technicians conduct experiments and analyze data in a variety of fields, including biology and medicine. This course provides a foundation in the use of Biopython and other tools that can be used to visualize and analyze protein structures, which is relevant to the work of Laboratory Technicians in these fields.

See salaries and explore the career path for Laboratory Technician

Science Teacher

Science Teachers teach science to students at all levels. This course provides a foundation in the use of Biopython and other tools that can be used to visualize and analyze protein structures, which can be helpful for Science Teachers who need to teach about these topics.

See salaries and explore the career path for Science Teacher

Technical Writer

Technical Writers create documentation and other materials that explain complex technical concepts. This course provides a foundation in the use of Biopython and other tools that can be used to visualize and analyze protein structures, which is relevant to the work of Technical Writers who need to communicate about these topics.

See salaries and explore the career path for Technical Writer

Science Editor

Science Editors edit scientific articles and other materials. This course provides a foundation in the use of Biopython and other tools that can be used to visualize and analyze protein structures, which is relevant to the work of Science Editors who need to edit articles about these topics.

See salaries and explore the career path for Science Editor

Science Librarian

Science Librarians help people find and access scientific information. This course provides a foundation in the use of Biopython and other tools that can be used to visualize and analyze protein structures, which is relevant to the work of Science Librarians who need to help people find information about these topics.

See salaries and explore the career path for Science Librarian

Patent Attorney

Patent Attorneys help people obtain and protect patents for their inventions. This course provides a foundation in the use of Biopython and other tools that can be used to visualize and analyze protein structures, which is relevant to the work of Patent Attorneys who need to understand the technical details of inventions related to these topics.

See salaries and explore the career path for Patent Attorney

Science Policy Analyst

Science Policy Analysts develop and analyze policies related to science and technology. This course provides a foundation in the use of Biopython and other tools that can be used to visualize and analyze protein structures, which is relevant to the work of Science Policy Analysts who need to understand the technical details of policies related to these topics.

See salaries and explore the career path for Science Policy Analyst

Reading list

We've selected 12 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 3D SARS-CoV-19 Protein Visualization With Biopython.

BIOINFORMATICS: A PRACTICAL GUIDE TO THE ANALYSIS...

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This comprehensive textbook provides a solid foundation in bioinformatics concepts and techniques, covering topics such as sequence analysis, genome annotation, and protein structure prediction. It is an excellent resource for students and researchers in the field.

3D SARS-CoV-19 Protein Visualization With Biopython

What's inside

Syllabus

Good to know

Save this course

Reviews summary

Accessible biopython project

Activities

Career center

Reading list

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