Name Mode Size
R 040000
data 040000
inst 040000
man 040000
tests 040000
vignettes 040000
.Rapp.history 100644 0 kb
.Rbuildignore 100644 0 kb
.gitignore 100644 0 kb
.travis.yml 100644 2 kb
DESCRIPTION 100644 3 kb
NAMESPACE 100644 5 kb
NEWS 100644 7 kb
README.md 100644 3 kb
TCGAbiolinks.Rproj 100644 0 kb
appveyor.yml 100644 1 kb
README.md
[![Build Status](https://travis-ci.org/BioinformaticsFMRP/TCGAbiolinks.svg?branch=master)](https://travis-ci.org/BioinformaticsFMRP/TCGAbiolinks) [![AppVeyor Build Status](https://ci.appveyor.com/api/projects/status/github/BioinformaticsFMRP/TCGAbiolinks?branch=master&svg=true)](https://ci.appveyor.com/project/BioinformaticsFMRP/TCGAbiolinks) [![codecov.io](https://codecov.io/github/BioinformaticsFMRP/TCGAbiolinks/coverage.svg?branch=master)](https://codecov.io/github/BioinformaticsFMRP/TCGAbiolinks?branch=master) [![bioc](http://www.bioconductor.org/shields/downloads/TCGAbiolinks.svg)](http://bioconductor.org/packages/stats/bioc/TCGAbiolinks.html) [![bioc](http://www.bioconductor.org/shields/years-in-bioc/TCGAbiolinks.svg)](http://bioconductor.org/packages/TCGAbiolinks/) [![bioc](http://bioconductor.org/shields/availability/devel/TCGAbiolinks.svg)](http://bioconductor.org/packages/TCGAbiolinks/) ------------------------------------------------------------------------ # TCGAbiolinks - An R/Bioconductor package for integrative analysis with TCGA data ### Installation ### ```R devtools::install_github(repo = "BioinformaticsFMRP/TCGAbiolinks") ``` ------------------------------------------------------------------------ ### Docker image ### TCGAbiolinks is available as Docker image (self-contained environments that contain everything needed to run the software), which can be easily run on Mac OS, Windows and Linux systems. This [PDF](https://drive.google.com/open?id=0B0-8N2fjttG-QXp5LVlPQnVQejg) show how to install and execute the image. The image can be obtained from Docker Hub: https://hub.docker.com/r/tiagochst/tcgabiolinksgui/ For more information please check: https://docs.docker.com/ and https://www.bioconductor.org/help/docker/ ### Manual ### http://bioconductor.org/packages/devel/bioc/vignettes/TCGAbiolinks/inst/doc/tcgaBiolinks.html http://bioinformaticsfmrp.github.io/TCGAbiolinks/ ------------------------------------------------------------------------ ## Citation Please cite both TCGAbiolinks package: * Colaprico A, Silva TC, Olsen C, Garofano L, Cava C, Garolini D, Sabedot T, Malta TM, Pagnotta SM, Castiglioni I, Ceccarelli M, Bontempi G and Noushmehr H. "TCGAbiolinks: an R/Bioconductor package for integrative analysis of TCGA data." Nucleic acids research (2015): gkv1507. [![doi](https://img.shields.io/badge/doi-10.1093/nar/gkv1507-green.svg?style=flat)](http://dx.doi.org/10.1093/nar/gkv1507) [![citation](https://img.shields.io/badge/cited%20by-18-green.svg?style=flat)](https://scholar.google.com.hk/scholar?oi=bibs&hl=en&cites=6029790855238928406) [![Altmetric](https://img.shields.io/badge/Altmetric-27-green.svg?style=flat)](https://www.altmetric.com/details/4919535) Also, if you have used ELMER analysis please cite: * Yao, L., Shen, H., Laird, P. W., Farnham, P. J., & Berman, B. P. "Inferring regulatory element landscapes and transcription factor networks from cancer methylomes." Genome Biol 16 (2015): 105. * Yao, Lijing, Benjamin P. Berman, and Peggy J. Farnham. "Demystifying the secret mission of enhancers: linking distal regulatory elements to target genes." Critical reviews in biochemistry and molecular biology 50.6 (2015): 550-573.