https://github.com/ctlab/phantasus
Revision 59fd34fbbd788c6b1a2208878c29966961095e46 authored by Alexey Sergushichev on 18 March 2020, 18:53:55 UTC, committed by Alexey Sergushichev on 18 March 2020, 18:53:55 UTC
1 parent 77806dd
Tip revision: 59fd34fbbd788c6b1a2208878c29966961095e46 authored by Alexey Sergushichev on 18 March 2020, 18:53:55 UTC
eps -> absEps for compatibility with current bioc-release
eps -> absEps for compatibility with current bioc-release
Tip revision: 59fd34f
DESCRIPTION
Package: phantasus
Title: Visual and interactive gene expression analysis
Version: 1.7.6
Authors@R: c(person("Daria", "Zenkova", email = "daria.zenkova.cs@gmail.com", role = "aut"),
person("Vladislav", "Kamenev", role = "aut"),
person("Rita", "Sablina", role = "ctb"),
person("Maxim", "Artyomov", role = "aut"),
person("Alexey", "Sergushichev", email = "alsergbox@gmail.com", role = c("aut", "cre")))
Description:
Phantasus is a web-application for visual and interactive gene expression analysis.
Phantasus is based on Morpheus – a web-based software for heatmap visualisation
and analysis, which was integrated with an R environment via OpenCPU API.
Aside from basic visualization and filtering methods, R-based methods such
as k-means clustering, principal component analysis or differential expression analysis
with limma package are supported.
URL: https://genome.ifmo.ru/phantasus,
https://artyomovlab.wustl.edu/phantasus
BugReports: https://github.com/ctlab/phantasus/issues
Depends: R (>= 3.5)
biocViews: GeneExpression, GUI, Visualization, DataRepresentation, Transcriptomics,
RNASeq, Microarray, Normalization, Clustering, DifferentialExpression,
PrincipalComponent, ImmunoOncology
Imports: ggplot2, protolite, Biobase, GEOquery, Rook, htmltools,
httpuv, jsonlite, limma, opencpu, assertthat, methods, httr, rhdf5,
utils, parallel, stringr, fgsea (>= 1.9.4), svglite, gtable, stats,
Matrix, pheatmap, scales, ccaPP, grid, grDevices,
AnnotationDbi, DESeq2
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.0.0
Suggests: testthat, BiocStyle, knitr, rmarkdown, data.table
VignetteBuilder: knitr
NeedsCompilation: no
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