-
Notifications
You must be signed in to change notification settings - Fork 43
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Add gene-level charts to study view for categorical molecular profiles #100
Comments
Hi @inodb will love to help in this project. |
Hi, I would like to contribute on this project. |
Hi @tmazor, I'm a former biomedical researcher (highest degree is a Master of Science in Physiology) who is trying to make a career switch to software engineering, and while I do not have much experience in coding, I would love to work on this project with you through the Google Summer of Code program. Please let me know if this opportunity is still available. Thanks, Han. |
Thanks for your interest all! Please reach out to @haynescd about any questions related to this project |
Have new idea to collaborate to make good decisions |
Hi, I am Mitali. I am interested to work for the project. Kindly let me know for the opportunities. |
Hey, I am expressing my interest in participating in this project. I have a background in open-source work and have previously contributed to projects. Additionally, I have been accepted into the GitHub Octernship Program under the Shuffle Organization. My skill set includes proficiency in React.js, and Javascript. Could you kindly provide me with any prerequisites or tasks that I could complete as a demonstration of my abilities and suitability for this project? Thank you. |
Background:
cBioPortal: cBioPortal is an open-source platform for cancer genomics data analysis and visualization. It provides a centralized resource for exploring and analyzing large-scale cancer genomic data sets, including genomic alterations, gene expression, and clinical information. The platform integrates data from multiple sources, including The Cancer Genome Atlas (TCGA) and the International Cancer Genome Consortium (ICGC), and makes it available through a web interface for researchers, clinicians, and the general public. Please refer to the cBioPortal home page for an overview.
Study View: The Study View page of cBioPortal provides users with an interactive view to explore the clinical & genomic data associated with a study. Data is represented as individual charts which can be used to filter to subsets of data.
Currently, the only way to visualize molecular data like mutations, copy number alterations or structural variants in Study View is a summary table showing the frequency of mutations in each gene across all samples:
However, users often want to look at specific genes in greater detail, to understand the exact types of alterations found in specific genes. This can be done by running a query, but we want to support this in Study View as well.
Goal:
For molecular alterations with continuous data values, like gene expression, there is an option to add charts showing the expression of a particular gene across all samples. The goal of this project is to extend that feature to support mutations & structural variants.
The interface to add gene-specific data for continuous profiles already exists:
The menu will need to be expanded to include mutation, copy number and structural variant profiles.
Depending on the type of profile select, a pie chart with the following values should be added to the study view page for each gene:
The slices for mutations (option 1):
The slices for mutations (option 2):
The slices for mutations (option 3):
The slices for SVs (option 1):
The slices for SVs (option 2):
The slices for SVs (option 3)
Approach:
Need skills:
JavaScript
Possible mentors:
@haynescd
@mlizchap
The text was updated successfully, but these errors were encountered: