Ancestry

• Fixed imputation using Austin’s adversarial autoencoder or supervised PPCA solution, will be implemented in Ancestry
• Works on hg19 (in addition to hg38 which already is supported), needs to be re-trained on hg19
• Containerize ancestry module

PRS

• PRS implemented and tested on large-enough (GIANT) data to verify that the model is viable from a runtime and statistical performance standpoint
• Reach out to Paula about testing PRS with their data

Rare variant

• Parent of origin effect testing

Proteomics

• For upload prot data, link with normal annotation file from the start
• For filtering, needs to be hooked up to webapp (Sprint 8/9)
• Fetch a particular proteomics result: Create an API endpoint to stream a proteomic dataset. Write a Python library function, and create a CLI function to call that library function