Project

ELISA

7 completions
~ 22 hours
4.5

In this project, you will learn how to apply Python in bioinformatics. Analyzing experimental data is essential for every biologist, as understanding and processing the results can help derive insights from a conducted experiment. You will learn how to obtain protein concentrations from an ELISA experiment! Ultimately, you will have a Python function to get concentrations from raw data files automatically.

Provided by

Edvancium Edvancium

About

Nowadays, automatization is a critical process in almost any field of research, including immunoproteomics. It helps with big datasets of unprocessed sample signals after the ELISA tests. Using experimental data files, you will write a function that automatizes obtaining measured protein concentrations after an ELISA test.


 

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Training project

This project allows you to practice and strengthen your coding skills, helping you get ready for more advanced tasks ahead.

What you'll learn

Once you choose a project, we'll provide you with a study plan that includes all the necessary topics from your course to get it built. Here’s what awaits you:
Collect standard values and prepare data for curve fitting (find the average, subtract the blank).
Curve fitting: write a function for the 4PL equation and find the coefficients of the equation with the scipy.curve_fit package
​Curve fitting: solve a 4PL equation (x is desired concentration, y is OD of a sample) and get the protein concentrations. ​
Combine the results of all previous steps to write a Python function.
Analyze a given dataset with your finished function.

Reviews

Viacheslav Shalisko avatar
Viacheslav Shalisko
3 weeks ago
This project involved designing a function to estimate the concentration of a substance in solution from optical density readings using a logistic curve fit.
DMITRII ZELENSKII
1 year ago
This is a good opportunity to practice Python and learn some scientific aspects.

4.5

Learners who completed this project within the course rated it as follows:
Usefulness
4.4
Fun
4.6
Clarity
4.6