https://github.com/romanhaa/Cerebro

Visualization of scRNA-seq data.
https://github.com/romanhaa/Cerebro

Last synced: 19 days ago
JSON representation

Visualization of scRNA-seq data.

• Host: GitHub
• URL: https://github.com/romanhaa/Cerebro
• Owner: romanhaa
• License: mit
• Created: 2019-01-08T16:09:59.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2022-11-10T18:21:47.000Z (over 1 year ago)
• Last Synced: 2024-02-24T18:36:46.775Z (4 months ago)
• Language: HTML
• Homepage:
• Size: 2.99 GB
• Stars: 85
• Watchers: 6
• Forks: 19
• Open Issues: 29
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.md

Lists

• awesome-expression-browser - cerebro - seq data. [bioRxiv](https://www.biorxiv.org/content/10.1101/631705v1) -> now published here: https://doi.org/10.1093/bioinformatics/btz877 (Software list)
• awesome_single_cell - Cerebro - [R] - Cerebro (cell report browser), a Shiny- and Electron-based standalone desktop application for macOS and Windows, which allows investigation and inspection of pre-processed single-cell transcriptomics data without requiring bioinformatic experience of the user. Through an interactive and intuitive graphical interface, users can i) explore similarities and heterogeneity between samples and cells clusters in 2D or 3D projections such as t-SNE or UMAP, ii) display the expression level of single genes or genes sets of interest, iii) browse tables of most expressed genes and marker genes for each sample and cluster. [bioRxiv](https://www.biorxiv.org/content/10.1101/631705v1) (Web portals and apps / Interactive visualization and analysis)
• awesome-single-cell - Cerebro - [R] - Cerebro (cell report browser), a Shiny- and Electron-based standalone desktop application for macOS and Windows, which allows investigation and inspection of pre-processed single-cell transcriptomics data without requiring bioinformatic experience of the user. Through an interactive and intuitive graphical interface, users can i) explore similarities and heterogeneity between samples and cells clusters in 2D or 3D projections such as t-SNE or UMAP, ii) display the expression level of single genes or genes sets of interest, iii) browse tables of most expressed genes and marker genes for each sample and cluster. [bioRxiv](https://www.biorxiv.org/content/10.1101/631705v1) (Web portals, apps, and databases / Interactive visualization and analysis)
• awesome-single-cell - Cerebro - [R] - Cerebro (cell report browser), a Shiny- and Electron-based standalone desktop application for macOS and Windows, which allows investigation and inspection of pre-processed single-cell transcriptomics data without requiring bioinformatic experience of the user. Through an interactive and intuitive graphical interface, users can i) explore similarities and heterogeneity between samples and cells clusters in 2D or 3D projections such as t-SNE or UMAP, ii) display the expression level of single genes or genes sets of interest, iii) browse tables of most expressed genes and marker genes for each sample and cluster. [bioRxiv](https://www.biorxiv.org/content/10.1101/631705v1) (Web portals, apps, and databases / Interactive visualization and analysis)