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README.md
In phantasus: Visual and interactive gene expression analysis
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.
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.
Try the phantasus package in your browser
Any scripts or data that you put into this service are public.
phantasus documentation built on Nov. 8, 2020, 6:39 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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.
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.
Try the phantasus package in your browser
Any scripts or data that you put into this service are public.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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