Cancer to Normal Atlas

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Description

This project is an extension of the "Cancer to Normal Transformer" project in which we are taking the algorithms developed in that project for mapping cancers to normal tissues and wrapping them (with resulting interactive visualizations) in a biologist-friendly web application. This will be a highly valuable tool because it will allow cancer researchers to discover how their cancer of interest relates to normal tissue states, potentially revealing novel drug targets.

R

R-Shiny, Reactive Programming

Project Stage

Early

Avg. Hours / Week

5

Project Provider

Alex Bishop, D.Phil.

Commitment (Months)

6

Spots Open

3

Project Lead

Henry Miller

Publication if successful?

Yes

Trainee authorship criteria (if applicable)

Trainees who contribute meaningfully to the project will be listed as co-authors. E.g., performing an entire core analysis or developing a core component of project software.

Required Skill Assessments

Basic Data Science Web Development

R Programming

Linux for Bioinformatics

RNA-Seq Analysis

R for Data Science