Functional Annotation for Genomic and Proteomic Data

Inspiration

I walked by the John Macleod Auditorium and remembered he discovered insulin through functional annotation, which inspired this projects. The diverse background of my teammates also inspired me to make the most of their strengths

What it does

Generate functional annotations for lesser-know proteins

How we built it

Referencing functional annotations from database

Challenges we ran into

Merging datasets with no clear field to align by

Inconsistent computing cluster

Choosing suitable data storage methods

Accomplishments that we're proud of

Coming up with a prototype after a failed model How we divided tasks that best fits our strengths

What we learned

Cross reference proteins from different sources. Selecting and filtering for human proteins.

What's next for Functional Annotation for Genomic and Proteomic Data

Fix model, categorizing by mutation cause and 3D structures

Built With

• interpro
• quickgo
• uniprot