Back to Access Bioinformatics Databases with Biopython
Coursera

Access Bioinformatics Databases with Biopython

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. You will also interact with various bioinformatics file formats such as FASTA, PDB, GENBANK and XML along with various parsers to read and modify these files using Biopython. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

Status: Scientific Visualization
Status: Bioinformatics
IntermediateGuided Project2 hours

Featured reviews

RG

5.0Reviewed Jun 15, 2023

Excellent quick intro that would get you started if you've an interest in the subject!

DF

4.0Reviewed Apr 5, 2023

While the walkthrough of how to use Bio[ython was very informative, I wished that the quiz was more in depth on reusing the programs that were just written.

MD

5.0Reviewed Jun 30, 2021

G​reat, thanks alot. I really enjoyed the project. I can use and expand my knowledge using this codes on my own.

DW

5.0Reviewed Jul 11, 2021

S​uch a fascinating topic and so well taught! Bravo! I applaud the instructor for his hard work and excellent teaching.

SB

5.0Reviewed Dec 12, 2024

Gives a good understanding of different bioinformatics tools using the Python biopython package. This knowledge works as a very good foundation for someone willing to gain deep knowledge in the field.

SJ

5.0Reviewed Dec 18, 2024

I have learned something additional and valuable apart from my curriculum

MN

4.0Reviewed Nov 10, 2025

great explanation and good project for a beginner; but the terminal cant run the code some time or takes too long to execute the code

All reviews

Showing: 10 of 10

Daniel James Winarski
5.0
Reviewed Jul 12, 2021
Mimi Daran
5.0
Reviewed Jun 30, 2021
Suvinava Basak
5.0
Reviewed Dec 12, 2024
Richard Griffiths
5.0
Reviewed Jun 16, 2023
sakshi joshi
5.0
Reviewed Dec 18, 2024
Lilia Souiade
5.0
Reviewed Jun 17, 2023
Sheetal Reddy
4.0
Reviewed Feb 2, 2024
Tieliang Gan
4.0
Reviewed Apr 30, 2022
Daniel Faber
4.0
Reviewed Apr 5, 2023
Murari Nalluri
4.0
Reviewed Nov 11, 2025