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Bhagesh Hunakunti
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.
Read more
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.
Read more
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.
Register for this course and see more details by visiting:
OpenCourser.com/course/79arql/3d
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Syllabus
Project Overview : 3D SARS-CoV-19 Protein Visualisation 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.
Good to know
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
Save this course
Save 3D SARS-CoV-19 Protein Visualization With Biopython to your list so you can find it easily later:
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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
Show steps
Refresh your programming skills to ensure a strong foundation for the bioinformatics techniques covered in this course.
Browse courses on
Programming
Show steps
-
Review basic programming concepts (variables, data types, loops, functions)
-
Practice writing simple Python scripts
Attend a bioinformatics conference or webinar
Show steps
Connect with experts and learn about the latest advancements in bioinformatics.
Show steps
-
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
Show steps
Improve your understanding and retention by organizing and reviewing your course materials.
Show steps
-
Gather all relevant course materials (notes, assignments, quizzes, exams)
-
Organize the materials in a logical manner
-
Review the materials regularly
Six other activities
Expand to see all activities and additional details
Show all nine activities
Review 'Bioinformatics: A Practical Guide to the Analysis of Genes and Proteins' by Andreas D. Baxevanis and B. F. Francis Ouellette
Show steps
Expand your knowledge of bioinformatics concepts and techniques essential for this course.
View
Bioinformatics: A Practical Guide To The...
on Amazon
Show steps
-
Read chapters relevant to the course topics
-
Summarize key concepts and make notes
Explore the PDB database using tutorials
Show steps
Master the art of navigating the Protein Data Bank (PDB) database to access and understand 3D protein structures.
Browse courses on
PDB
Show steps
-
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
Show steps
Solidify your understanding of data manipulation and interpretation techniques in Biopython.
Browse courses on
Biopython
Show steps
-
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
Show steps
Deepen your understanding and engage with the bioinformatics community by creating educational content.
Show steps
-
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
Show steps
Test your skills by undertaking a personal bioinformatics project to explore a topic of your interest.
Show steps
-
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
Show steps
Gain practical experience and make a valuable contribution to the bioinformatics community.
Show steps
-
Identify open-source bioinformatics projects of interest
-
Review the project documentation and code
-
Make code contributions or improve documentation
-
Collaborate with other contributors
Review basic programming concepts before the course
Show steps
Refresh your programming skills to ensure a strong foundation for the bioinformatics techniques covered in this course.
Browse courses on
Programming
Show steps
Show steps
Show steps
- Review basic programming concepts (variables, data types, loops, functions)
- Practice writing simple Python scripts
Attend a bioinformatics conference or webinar
Show steps
Connect with experts and learn about the latest advancements in bioinformatics.
Show steps
Show steps
Show steps
- 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
Show steps
Improve your understanding and retention by organizing and reviewing your course materials.
Show steps
Show steps
Show steps
- Gather all relevant course materials (notes, assignments, quizzes, exams)
- Organize the materials in a logical manner
- Review the materials regularly
Six other activities
Expand to see all activities and additional details
Show all nine activities
Review 'Bioinformatics: A Practical Guide to the Analysis of Genes and Proteins' by Andreas D. Baxevanis and B. F. Francis Ouellette
Show steps
Expand your knowledge of bioinformatics concepts and techniques essential for this course.
View
Bioinformatics: A Practical Guide To The...
on Amazon
Show steps
Show steps
Show steps
- Read chapters relevant to the course topics
- Summarize key concepts and make notes
Explore the PDB database using tutorials
Show steps
Master the art of navigating the Protein Data Bank (PDB) database to access and understand 3D protein structures.
Browse courses on
PDB
Show steps
Show steps
Show steps
- 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
Show steps
Solidify your understanding of data manipulation and interpretation techniques in Biopython.
Browse courses on
Biopython
Show steps
Show steps
Show steps
- 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
Show steps
Deepen your understanding and engage with the bioinformatics community by creating educational content.
Show steps
Show steps
Show steps
- 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
Show steps
Test your skills by undertaking a personal bioinformatics project to explore a topic of your interest.
Show steps
Show steps
Show steps
- 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
Show steps
Gain practical experience and make a valuable contribution to the bioinformatics community.
Show steps
Show steps
Show steps
- 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 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.
Computational Biologist
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.
Biomedical Engineer
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.
Research Scientist
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.
Science Writer
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.
Medical Physicist
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.
Biostatistician
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.
Data Scientist
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.
Laboratory Technician
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.
Science Teacher
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.
Technical Writer
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.
Science Editor
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.
Science Librarian
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.
Patent Attorney
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.
Science Policy Analyst
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.
For more career information including salaries, visit:
OpenCourser.com/course/79arql/3d
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.
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.
This comprehensive textbook provides a comprehensive overview of human molecular genetics. It valuable resource for students and researchers in the field.
This introductory textbook provides a clear and concise overview of protein structure and function. It useful resource for students and researchers who are new to the field.
This classic textbook provides a comprehensive overview of molecular biology. It valuable resource for students and researchers in the field.
Save
This comprehensive textbook provides a solid foundation in genetics concepts and principles. It useful resource for students and researchers in the field.
Save
This comprehensive textbook provides a solid foundation in biochemistry concepts and principles. It useful resource for students and researchers in the field.
Focuses on practical data analysis skills in bioinformatics using Python. Provides insights into data handling, visualization, and statistical analysis.
Introduces Python programming for bioinformatics. Covers essential concepts such as data structures, algorithms, and sequence analysis. Useful for learners new to Python.
A widely used textbook that covers the fundamentals of bioinformatics, including sequence analysis, genome databases, and protein structure prediction. Provides a solid foundation for this course.
A comprehensive textbook that covers the molecular basis of cells. Provides essential background knowledge in molecular biology, including protein structure and function.
Save
Provides a detailed overview of protein structure and function. Useful for learners who want to gain a deeper understanding of the molecular basis of SARS-CoV-19 proteins.
Save
Focuses on problem-solving in bioinformatics. Useful for learners who want to develop critical thinking and analytical skills in bioinformatics.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/79arql/3d
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Effort
2 hours
Level
Intermediate
Via
Coursera
Institution
Coursera Project Network
Instructor
Bhagesh Hunakunti
Language
English
Good to know
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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