In this 1-hour long project-based course, you will learn how to access, parse, and visualize data from various bioinformatics sequence and structural online databases such as ENTREZ, PDB, KEGG and NCBI using Biopython.
Access Bioinformatics Databases with Biopython
Access Bioinformatics Databases with Biopython
Instructor: Bhagesh Hunakunti
Access provided by New York State Department of Labor
2,710 already enrolled
Learn, practice, and apply job-ready skills with expert guidance
4.5
(40 reviews)
Intermediate level
Recommended experience
1 hour
Learn at your own pace
Hands-on learning
What you'll learn
Sequence alignment using NCBI-BLAST
Fetch PUBMED & Nucleotide sequence using ENTREZ, PDB, EXPASY
Access KEGG pathways and genes
Details to know
Shareable certificate
Add to your LinkedIn profile
Taught in English
No downloads or installation required
Only available on desktop
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About this Guided Project
Learn step-by-step
In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:
Sequence alignment using NCBI-BLAST
Fetch PUBMED & Nucleotide sequence using ENTREZ
Fetch proteins from PDB
PROSITE & SCANPROSITE from EXPASY
Access KEGG database
Recommended experience
Bioinformatics, Python programming
3 project images
Instructor
Offered by
How you'll learn
Skill-based, hands-on learning
Practice new skills by completing job-related tasks.
Expert guidance
Follow along with pre-recorded videos from experts using a unique side-by-side interface.
No downloads or installation required
Access the tools and resources you need in a pre-configured cloud workspace.
Available only on desktop
This Guided Project is designed for laptops or desktop computers with a reliable Internet connection, not mobile devices.
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Learner reviews
4.5
40 reviews
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25%
- 3 stars
7.50%
- 2 stars
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- 1 star
2.50%
Showing 3 of 40
RG
5
Reviewed on Jun 15, 2023
Excellent quick intro that would get you started if you've an interest in the subject!
SJ
5
Reviewed on Dec 18, 2024
I have learned something additional and valuable apart from my curriculum
MD
5
Reviewed on Jun 30, 2021
Great, thanks alot. I really enjoyed the project. I can use and expand my knowledge using this codes on my own.
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