https://github.com/ctlab/phantasus
Tip revision: c6bb0e960554a23eb712690cbd7f8e3f7d79ca0d authored by Alexey Sergushichev on 02 July 2021, 13:19:49 UTC
Update js
Update js
Tip revision: c6bb0e9
README.md
[![Travis-CI Build Status](https://travis-ci.org/ctlab/phantasus.svg?branch=master)](https://travis-ci.org/ctlab/phantasus)
[![AppVeyor Build Status](https://ci.appveyor.com/api/projects/status/github/ctlab/phantasus?branch=master&svg=true)](https://ci.appveyor.com/project/assaron/phantasus)
[![codecov](https://codecov.io/gh/ctlab/phantasus/branch/master/graph/badge.svg)](https://codecov.io/gh/ctlab/phantasus)
Phantasus is a web tool designed for visual and
interactive gene expression analysis.
In particular, it was designed to allow to go from a typical dataset to
differential expression and downstream analysis in an easy and streamlined
manner. For that aim, Phantasus integrates an intuitive heatmap interface with
gene expression analysis tools from Bioconductor.
Main features:
* Loading public datasets from Gene Expression Omnibus with both microarrays and RNA-seq datasets (via ARCHS4) being supported.
* Differential gene expression using `limma` or `DESeq2`.
* Publication ready plots with export to SVG: PCA plot, row profiles, box plots.
* Clustering: k-means and hierarchical.
* Gene set enrichment analysis via `fgsea` package.
* Sharing session links.
<img src="https://ctlab.github.io/phantasus-doc/images/screenshot.png" width="600px" />
Links:
* Official mirrors: <https://ctlab.itmo.ru/phantasus>
and <https://artyomovlab.wustl.edu/phantasus>.
* Documentation: <https://ctlab.github.io/phantasus-doc>.
* Source code at GitHub: <https://github.com/ctlab/phantasus>.
* Bioconductor package: <https://bioconductor.org/packages/phantasus>.
* Docker image: <https://hub.docker.com/r/dzenkova/phantasus>.
Citation:
* Zenkova D, Kamenev V, Sablina R, Artyomov M, Sergushichev A (2018). Phantasus: visual and interactive gene expression analysis. doi: 10.18129/B9.bioc.phantasus, <https://ctlab.itmo.ru/phantasus>.