During today’s discussion, Yaamini recommended we generate a list of genes with different predominant isoforms between females and males, while also adding a column with a binary indicator (e.g. 0 or 1) to mark those genes which were not different (0) or were different (1) between sexes. Steven had already generated files identifying predominant isoforms in each sex:

• predom_iso-FEMALE.txt (GitHub)

• predom_iso-MALE.txt

I wrangled the data in a Jupyter Notebook:

• 42-predominant_isoform-female_male.ipynb (GitHub)

• 42-predominant_isoform-female_male.ipynb (NBviewer)

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RESULTS

Output files are available in the ceabigr repo.

Identified 4090 genes which had different predominant isoforms between sexes.

Identified 2252 genes which had different predominant isoforms between OA-exposed and control females.

Identified 1808 genes which had different predominant isoforms between OA-exposed and control males.