Bioconductor version: Release (3.6)
Interactive R package with an intuitive Shiny-based graphical interface for alternative splicing quantification and integrative analyses of alternative splicing and gene expression from large transcriptomic datasets, including those from The Cancer Genome Atlas (TCGA) and the Genotype-Tissue Expression project (GTEx), as well as user-owned data. The tool interactively performs survival, dimensionality reduction and median- and variance-based differential splicing and gene expression analyses that benefit from the incorporation of clinical and molecular sample-associated features (such as tumour stage or survival). Interactive visual access to genomic mapping and functional annotation of selected alternative splicing events is also included.
Author: Nuno Saraiva-Agostinho [aut, cre], Nuno Luís Barbosa-Morais [aut, led, ths], André Falcão [ths], Lina Gallego Paez [ctb], Marie Bordone [ctb], Teresa Maia [ctb], Mariana Ferreira [ctb], Ana Carolina Leote [ctb], Bernardo de Almeida [ctb]
Maintainer: Nuno Saraiva-Agostinho <nunodanielagostinho at gmail.com>
Citation (from within R,
enter citation("psichomics")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("psichomics")
HTML | R Script | Case study: command-line interface (CLI) |
HTML | R Script | Case study: visual interface |
HTML | R Script | Custom alternative splicing annotation |
Reference Manual | ||
Text | NEWS | |
Text | LICENSE |
biocViews | AlternativeSplicing, BiomedicalInformatics, DifferentialExpression, DifferentialSplicing, GUI, GeneExpression, MultipleComparison, PrincipalComponent, RNASeq, Sequencing, Software, Survival, Transcription, Transcriptomics, Visualization |
Version | 1.4.5 |
In Bioconductor since | BioC 3.4 (R-3.3) (1.5 years) |
License | MIT + file LICENSE |
Depends | R (>= 3.4), shiny (>= 1.0.3), shinyBS |
Imports | AnnotationHub, cluster, colourpicker, data.table, digest, dplyr, DT (>= 0.2), edgeR, fastICA, fastmatch, ggplot2, ggrepel, grDevices, highcharter (>= 0.5.0), htmltools, httr, jsonlite, limma, miscTools, pairsD3, plyr, Rcpp (>= 0.12.14), R.utils, shinyjs, stringr, stats, survival, tools, utils, XML, xtable, methods |
LinkingTo | Rcpp |
Suggests | testthat, knitr, parallel, devtools, rmarkdown, gplots, covr, car |
SystemRequirements | |
Enhances | |
URL | https://github.com/nuno-agostinho/psichomics |
BugReports | https://github.com/nuno-agostinho/psichomics/issues |
Depends On Me | |
Imports Me | |
Suggests Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | psichomics_1.4.5.tar.gz |
Windows Binary | psichomics_1.4.5.zip (32- & 64-bit) |
Mac OS X 10.11 (El Capitan) | psichomics_1.4.5.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/psichomics |
Package Short Url | http://bioconductor.org/packages/psichomics/ |
Package Downloads Report | Download Stats |
Old Source Packages for BioC 3.6 | Source Archive |
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