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GSOC 2023 PROJECT

Implement a R Shiny module for Network Analysis in CellMinerCDB

Contributor
Siddharth Chaudhary
Mentor
AugustinL
Organization
National Resource for Network Biology (NRNB)Science and medicine
Program
GSoC 2023Completed

About this project

Description from the program archive

CellMinerCDB provides a web-based resource for integrating multiple forms of pharmacological and genomic analyses, and unifying the richest cancer cell line datasets (the NCI-60, Sanger/MGH GDSC, and Broad CCLE/CTRP).CellMinerCDB enables data queries for genomics analyses and exploration of pharmacogenomic determinants of response. It leverages overlaps of cell lines and drugs across databases to examine several biological questions. CellMinerCDB is built using R Shiny which provides a modular framework. This proposal is aiming towards adding an additional module in CellMinerCDB for Network Analysis that will provide an easier visualization of averaged genetic profiling data on top of a curated set of pathways.

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  1. Automate Cytoscape.js release process using GitHub Actions

    Akash MondalMentored by Gary Bader, Max Franz, Michael Kucera +1

  2. Develop new features for Cytoscape App-cyPlot

    Kartik Kumar PawarMentored by Alex Pico, Scooter, Yihang Xin

  3. Development of a Cytoscape App for microbe-microbe association networks

    Ermis DelopoulosMentored by Scooter, Haris Zafeiropoulos, Yihang Xin

  4. Convert CellBox Tensorflow code to Pytorch

    Phuc NguyenMentored by AugustinL, Bo Yuan

  5. Setting up the CI/CD Pipeline using Github Actions on GraphSpace

    Mahesh KasbeMentored by Yash Agarwal_, Daniyal Jahan

  6. Supporting Pathway Commons and ssGSEA in clusterProfiler

    JIGYASA GUPTAMentored by AugustinL, Guangchuang Yu

Data: Google Summer of Code public archive. This project in the official archive