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Calculating Jaccard Similarity Index in Jupyter Notebook (Python)

The Jaccard similarity index compares members for two sets to see which members are shared and which are distinct. It’s a measure of similarity for the two sets of data, with a range from 0 to 1. The closer to 1, the more similar the two sets of data.

I calculated the Pangenome from whole genome sequences (WGS) of E. coli using the tool, Roary . I have generated the Jaccard similarity index To identify similarities between pangenome and antibiotic sensitivity data using a user-defined function.

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