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)
I wrangled the data in a Jupyter Notebook:
42-predominant_isoform-female_male.ipynb (NBviewer)
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.