Rishab Jayaraman
Pronouns: He/Him
Research Mentor(s): Chandan Kumar
Research Mentor School/College/Department: Pathology / Medicine
Program: UROPF
Session: Session 2 (10:00am – 10:50am)
Authors: Alex Hopkins, Rashab Jayaraman
Abstract
Cancer research is a large and significant field that has the potential to save millions of lives around the world. While engaging in this research, many workers need an updated database to help view all the necessary information. My project surrounds the oncotree database, that provides a cancer classification system used by some researchers in precision oncology field. This originated as a way for cancer researchers to view all types and subtypes of cancer in an organized tree. Oncotree classifies cancer types based on current classifications, which are based on their morphologies. This is intended to be used by the research workers to help organize their work, and define precise queries and comparisons based on latest annotations. Specifically, this project uses Python to program a tool that allows the user to edit and add cancer types to the oncotree database. The oncotree is essentially an incredibly large JSON (Javascript Object Notation) file, and python is used to organize this and edit this using the json library built within the language. JSON is an open standard file format and data interchange format that uses human-readable text to store and transmit data objects consisting of attribute–value pairs and arrays. The goal is to use input statements to see where and what to add, and this json library to actually perform the edits.
