To install this package, start R and enter:

## try http if https is not available
source("https://bioconductor.org/biocLite.R")
biocLite("BiocStyle")

In most cases, you don't need to download the package archive at all.

BiocStyle

Standard styles for vignettes and other Bioconductor documents

Bioconductor version: Release (3.1)

Provides standard formatting styles for Bioconductor PDF and HTML documents. Package vignettes illustrate use and functionality.

Author: Martin Morgan, Andrzej Oles, Wolfgang Huber

Maintainer: Bioconductor Package Maintainer <maintainer at bioconductor.org>

Citation (from within R, enter citation("BiocStyle")):

Installation

To install this package, start R and enter:

## try http if https is not available
source("https://bioconductor.org/biocLite.R")
biocLite("BiocStyle")

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("BiocStyle")

PDF	R Script	Bioconductor LaTeX Style
HTML	R Script	Bioconductor style for HTML documents
PDF		Reference Manual
Text		NEWS

Details

biocViews	Software
Version	1.6.0
In Bioconductor since	BioC 2.13 (R-3.0) (2 years)
License	Artistic-2.0
Depends
Imports
LinkingTo
Suggests	knitr (>= 1.7), rmarkdown, BiocGenerics, RUnit
SystemRequirements
Enhances
URL
Depends On Me	curatedBreastData
Imports Me	Rqc
Suggests Me	affycoretools, AnnotationDbi, AnnotationForge, AnnotationHub, arrayQualityMetrics, ASGSCA, bamsignals, BayesPeak, baySeq, beadarray, BeadDataPackR, bioassayR, BiocParallel, BitSeq, blima, blimaTestingData, BrowserViz, BrowserVizDemo, BubbleTree, CAFE, CAnD, Cardinal, CardinalWorkflows, ccrepe, CexoR, ChemmineDrugs, ChemmineOB, ChemmineR, ChIPpeakAnno, ChIPQC, ChIPseeker, ClassifyR, cleaver, clipper, clusterProfiler, coMET, compcodeR, conumee, CopyhelpeR, CopywriteR, CoRegNet, COSMIC.67, cosmiq, cpvSNP, CRISPRseek, curatedBladderData, curatedCRCData, curatedOvarianData, dagLogo, DEGreport, DESeq2, DEXSeq, DiffBind, DmelSGI, DOSE, DSS, easyRNASeq, EBImage, EDASeq, eiR, EnrichmentBrowser, ensembldb, flowcatchR, flowMap, FlowSOM, fmcsR, FourCSeq, genefilter, GeneOverlap, GenomeInfoDb, GenomicAlignments, GenomicFeatures, GenomicFiles, GenomicInteractions, GenomicRanges, GenomicTuples, ggbio, ggtree, GOexpress, GoogleGenomics, GOSemSim, gQTLBase, gQTLstats, graphite, GreyListChIP, groHMM, GSAR, Gviz, HD2013SGI, HIBAG, Hiiragi2013, HiTC, hpar, HTSFilter, illuminaio, imageHTS, immunoClust, InPAS, IVAS, M3D, mAPKL, MatrixRider, MBASED, mdgsa, MEDIPS, messina, MethylAid, MethylAidData, MethylMix, missMethyl, mogsa, motifStack, mQTL.NMR, MSnbase, MSnID, mygene, mzR, NanoStringQCPro, NarrowPeaks, netbiov, nethet, nondetects, npGSEA, oligo, omicade4, OmicsMarkeR, OncoSimulR, PAA, parathyroidSE, paxtoolsr, Pbase, plethy, Polyfit, pRoloc, PROPER, proteoQC, PSEA, PWMEnrich, qcmetrics, qpgraph, quantro, QuasR, R3CPET, rain, Rcade, rcellminer, rcellminerData, RCyjs, ReactomePA, RefNet, regioneR, ReQON, RforProteomics, rfPred, RGSEA, rhdf5, Rhtslib, riboSeqR, RNAprobR, RnaSeqSampleSize, RnaSeqSampleSizeData, Rnits, rols, rpx, Rsamtools, RUVcorr, RUVSeq, sangerseqR, sapFinder, SCLCBam, segmentSeq, SeqArray, seqPattern, seqplots, SeqVarTools, SGSeq, shinyMethyl, ShortRead, SigCheck, SigFuge, simulatorZ, sincell, soGGi, SomaticCancerAlterations, specL, SSPA, STAN, STATegRa, sva, synapter, systemPipeR, TFBSTools, tigre, TPP, tracktables, trackViewer, TurboNorm, VariantAnnotation, VariantFiltering, zebrafishRNASeq
Build Report

Package Archives

Follow Installation instructions to use this package in your R session.

Package Source	BiocStyle_1.6.0.tar.gz
Windows Binary	BiocStyle_1.6.0.zip
Mac OS X 10.6 (Snow Leopard)	BiocStyle_1.6.0.tgz
Mac OS X 10.9 (Mavericks)	BiocStyle_1.6.0.tgz
Subversion source	(username/password: readonly)
Git source	https://github.com/Bioconductor-mirror/BiocStyle/tree/release-3.1
Package Short Url	http://bioconductor.org/packages/BiocStyle/
Package Downloads Report	Download Stats

Documentation »

Bioconductor

Package vignettes and manuals.
Workflows for learning and use.
Course and conference material.
Videos.
Community resources and tutorials.

R / CRAN packages and documentation

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