Last data update: 2014.03.03

Data Source

R Release (3.2.3)
CranContrib
BioConductor
All

Data Type

Packages
Functions
Images
Data set

Classification

Results 1 - 10 of 15 found.
[1] < 1 2 > [2]  Sort:

recoup : An R package for the creation of complex genomic profile plots

Package: recoup
Type: Package
Title: An R package for the creation of complex genomic profile plots
Author: Panagiotis Moulos <moulos@fleming.gr>
Maintainer: Panagiotis Moulos <moulos@fleming.gr>
Depends: GenomicRanges, GenomicAlignments, ggplot2, ComplexHeatmap
Imports: BiocGenerics, biomaRt, circlize, rtracklayer, plyr
Suggests: grid, GenomeInfoDb, Rsamtools, BiocStyle, knitr, rmarkdown,
zoo, RUnit, BiocInstaller, BSgenome, RSQLite, RMySQL
Enhances: parallel
Description: recoup calculates and plots signal profiles
created from short sequence reads derived from Next
Generation Sequencing technologies. The profiles
provided are either sumarized curve profiles or heatmap
profiles. Currently, recoup supports genomic profile
plots for reads derived from ChIP-Seq and RNA-Seq
experiments. The package uses ggplot2 and ComplexHeatmap
graphics facilities for curve and heatmap coverage
profiles respectively.
License: GPL (>= 3)
Encoding: UTF-8
LazyLoad: yes
LazyData: yes
URL: https://github.com/pmoulos/recoup
biocViews: Software, GeneExpression, Preprocessing, QualityControl,
RNASeq, ChIPSeq, Sequencing, Coverage
VignetteBuilder: knitr
Authors@R: c(person(given="Panagiotis", family="Moulos",
email="moulos@fleming.gr", role=c("aut", "cre")))
Version: 1.0.2
Date: 2016-04-02
Collate: 'annotation.R' 'argcheck.R' 'coverage.R' 'ranges.R' 'recoup.R'
'plot.R' 'profile.R' 'util.R'
NeedsCompilation: no
Packaged: 2016-05-16 06:04:00 UTC; biocbuild

● Data Source: BioConductor
● BiocViews: ChIPSeq, Coverage, GeneExpression, Preprocessing, QualityControl, RNASeq, Sequencing, Software
● 0 images, 17 functions, 1 datasets
● Reverse Depends: 0

rnaSeqMap : rnaSeq secondary analyses

Package: rnaSeqMap
Type: Package
Title: rnaSeq secondary analyses
Version: 2.30.0
Date: 2014-09-30
Author: Anna Lesniewska <alesniewska@cs.put.poznan.pl>; Michal
Okoniewski <michal@fgcz.ethz.ch>
Maintainer: Michal Okoniewski <michal@fgcz.ethz.ch>
Depends: R (>= 2.11.0), methods, Biobase, Rsamtools, GenomicAlignments
Imports: GenomicRanges , IRanges, edgeR, DESeq, DBI
Description: The rnaSeqMap library provides classes and functions to
analyze the RNA-sequencing data using the coverage profiles in
multiple samples at a time
License: GPL-2
Collate: zzz.R utils.R plots.R NucleotideDistr.R SeqReads.R NDplots.R
NDtransforms.R bam2sig.R parseGff3.R pipelines.R
normalizations.R measures.R generators.R camelWrapper.R
biocViews: Annotation, ReportWriting, Transcription, GeneExpression,
DifferentialExpression, Sequencing, RNASeq, SAGE, Visualization
NeedsCompilation: yes
Packaged: 2016-05-04 03:45:55 UTC; biocbuild

● Data Source: BioConductor
● BiocViews: Annotation, DifferentialExpression, GeneExpression, RNASeq, ReportWriting, SAGE, Sequencing, Transcription, Visualization
● 0 images, 37 functions, 1 datasets
Reverse Depends: 1

prebs : Probe region expression estimation for RNA-seq data for improved microarray comparability

Package: prebs
Title: Probe region expression estimation for RNA-seq data for improved
microarray comparability
Description: The prebs package aims at making RNA-sequencing (RNA-seq)
data more comparable to microarray data. The comparability is
achieved by summarizing sequencing-based expressions of probe
regions using a modified version of RMA algorithm. The pipeline
takes mapped reads in BAM format as an input and produces
either gene expressions or original microarray probe set
expressions as an output.
Version: 1.12.0
Author: Karolis Uziela and Antti Honkela
Maintainer: Karolis Uziela <karolis.uziela@scilifelab.se>
Depends: R (>= 2.14.0), GenomicAlignments, affy, RPA
Imports: parallel, methods, stats, GenomicRanges (>= 1.13.3), IRanges,
Biobase, GenomeInfoDb, S4Vectors
Suggests: prebsdata, hgu133plus2cdf, hgu133plus2probe
License: Artistic-2.0
Collate: 'PREBS.R'
biocViews: Microarray, RNASeq, Sequencing, GeneExpression,
Preprocessing
NeedsCompilation: no
Packaged: 2016-05-04 04:59:04 UTC; biocbuild

● Data Source: BioConductor
● BiocViews: GeneExpression, Microarray, Preprocessing, RNASeq, Sequencing
● 0 images, 2 functions, 0 datasets
● Reverse Depends: 0

GoogleGenomics : R Client for Google Genomics API

Package: GoogleGenomics
Version: 1.4.2
Date: 2015-07-13
Title: R Client for Google Genomics API
Authors@R: c(person("Cassie", "Doll", role = c("aut")),
person("Nicole", "Deflaux", role = c("aut")),
person("Siddhartha", "Bagaria", role = c("aut", "cre"),
email="sidb@google.com"))
Depends: R (>= 3.1.0), GenomicAlignments (>= 1.0.1), VariantAnnotation
Imports: Biostrings, GenomeInfoDb, GenomicRanges, IRanges, httr, rjson,
Rsamtools, S4Vectors (>= 0.9.25)
Suggests: BiocStyle, httpuv, knitr, rmarkdown, testthat, ggbio,
ggplot2, BSgenome.Hsapiens.UCSC.hg19, org.Hs.eg.db,
TxDb.Hsapiens.UCSC.hg19.knownGene
Description: Provides an R package to interact with the Google Genomics API.
VignetteBuilder: knitr
License: Apache License (== 2.0) | file LICENSE
URL: https://cloud.google.com/genomics/
BugReports: https://github.com/Bioconductor/GoogleGenomics/issues
biocViews: DataImport, ThirdPartyClient
NeedsCompilation: no
Packaged: 2016-05-16 05:25:22 UTC; biocbuild
Author: Cassie Doll [aut],
Nicole Deflaux [aut],
Siddhartha Bagaria [aut, cre]
Maintainer: Siddhartha Bagaria <sidb@google.com>

● Data Source: BioConductor
● BiocViews: DataImport, ThirdPartyClient
● 0 images, 10 functions, 0 datasets
● Reverse Depends: 0

Guitar : Guitar

Package: Guitar
Type: Package
Title: Guitar
Version: 1.10.0
Date: 2016-4-15
Author: Jia Meng
Maintainer: Jia Meng <jia.meng@xjtlu.edu.cn>
Description: The package is designed for visualization
of RNA-related genomic features with respect to the landmarks of RNA transcripts, i.e.,
transcription starting site, start codon, stop codon and transcription ending site.
License: GPL-2
Depends: Rsamtools, GenomicFeatures, rtracklayer, GenomicAlignments,
GenomicRanges, ggplot2, grid, IRanges
biocViews: Sequencing, SplicedAlignment, Alignment, DataImport, RNASeq,
MethylSeq, QualityControl, Transcription, Coverage
NeedsCompilation: no
Packaged: 2016-05-04 06:34:21 UTC; biocbuild

● Data Source: BioConductor
● BiocViews: Alignment, Coverage, DataImport, MethylSeq, QualityControl, RNASeq, Sequencing, SplicedAlignment, Transcription
2 images, 7 functions, 0 datasets
● Reverse Depends: 0

AllelicImbalance : Investigates allele specific expression

Package: AllelicImbalance
Type: Package
Title: Investigates allele specific expression
Version: 1.10.2
Date: 2016-04-02
Encoding: UTF-8
Author: Jesper R Gadin, Lasse Folkersen
Maintainer: Jesper R Gadin <j.r.gadin@gmail.com>
Description: Provides a framework for allelic specific expression
investigation using RNA-seq data.
License: GPL-3
URL: https://github.com/pappewaio/AllelicImbalance
BugReports: https://github.com/pappewaio/AllelicImbalance/issues
Suggests: testthat, org.Hs.eg.db, TxDb.Hsapiens.UCSC.hg19.knownGene,
SNPlocs.Hsapiens.dbSNP144.GRCh37, BiocStyle, knitr, rmarkdown
Depends: R (>= 3.2.0), grid, GenomicRanges, SummarizedExperiment (>=
0.2.0), GenomicAlignments
Imports: methods, BiocGenerics, AnnotationDbi, BSgenome,
VariantAnnotation, Biostrings, S4Vectors (>= 0.9.25), IRanges,
Rsamtools, GenomicFeatures, Gviz, lattice, latticeExtra,
gridExtra, seqinr, GenomeInfoDb
LazyData: TRUE
biocViews: Genetics, Infrastructure, Sequencing
VignetteBuilder: knitr
Collate: 'AllelicImbalance-package.R' 'initialize-methods.R'
'ASEset-class.R' 'DetectedAI-class.R' 'GlobalAnalysis-class.R'
'barplot-methods.R' 'locationplot-methods.R'
'GvizTrack-methods.R' 'LinkVariantAlmlof-class.R'
'RegionSummary-class.R' 'RiskVariant-class.R'
'auxillary-functions-annotation.R'
'auxillary-functions-visuals.R'
'auxillary-methods-annotation.R'
'auxillary-methods-summaries.R' 'auxillary-methods.R'
'chisq.test-methods.R' 'binom.test-methods.R'
'boxplot-methods.R' 'deprecations.R' 'detect-methods.R'
'filter-methods.R' 'histplot-methods.R' 'inference-methods.R'
'linkage-methods.R' 'list-methods.R' 'mapbias-methods.R'
'plot-methods.R' 'show-methods.R' 'simulation-methods.R'
'summary-methods.R' 'utils.R'
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-05-16 04:06:46 UTC; biocbuild

● Data Source: BioConductor
● BiocViews: Genetics, Infrastructure, Sequencing
13 images, 71 functions, 0 datasets
● Reverse Depends: 0

RIPSeeker : RIPSeeker: a statistical package for identifying protein-associated transcripts from RIP-seq experiments

Package: RIPSeeker
Type: Package
Title: RIPSeeker: a statistical package for identifying
protein-associated transcripts from RIP-seq experiments
Version: 1.12.0
Date: 2013-Apr-13
Author: Yue Li
Maintainer: Yue Li <yueli@cs.toronto.edu>
Description: Infer and discriminate RIP peaks from RIP-seq alignments
using two-state HMM with negative binomial emission
probability. While RIPSeeker is specifically tailored for
RIP-seq data analysis, it also provides a suite of
bioinformatics tools integrated within this self-contained
software package comprehensively addressing issues ranging from
post-alignments processing to visualization and annotation.
Depends: R (>= 2.15), methods, S4Vectors (>= 0.9.25), IRanges,
GenomicRanges, SummarizedExperiment, Rsamtools,
GenomicAlignments, rtracklayer
Suggests: biomaRt, ChIPpeakAnno, parallel, GenomicFeatures
License: GPL-2
URL: http://www.cs.utoronto.ca/~yueli/software.html
Lazyload: yes
Packaged: 2016-05-04 04:46:29 UTC; biocbuild
biocViews: Sequencing, RIPSeq
NeedsCompilation: no

● Data Source: BioConductor
● BiocViews: RIPSeq, Sequencing
7 images, 39 functions, 0 datasets
Reverse Depends: 1

ShortRead : FASTQ input and manipulation

Package: ShortRead
Type: Package
Title: FASTQ input and manipulation
Version: 1.30.0
Author: Martin Morgan, Michael Lawrence, Simon Anders
Maintainer: Bioconductor Package Maintainer
<maintainer@bioconductor.org>
Description: This package implements sampling, iteration, and input of
FASTQ files. The package includes functions for filtering and
trimming reads, and for generating a quality assessment report.
Data are represented as DNAStringSet-derived objects, and
easily manipulated for a diversity of purposes. The package
also contains legacy support for early single-end, ungapped
alignment formats.
License: Artistic-2.0
LazyLoad: yes
Depends: BiocGenerics (>= 0.11.3), BiocParallel, Biostrings (>=
2.37.1), Rsamtools (>= 1.21.4), GenomicAlignments (>= 1.5.4)
Imports: Biobase, S4Vectors (>= 0.7.1), IRanges (>= 2.3.7),
GenomeInfoDb (>= 1.1.19), GenomicRanges (>= 1.21.6), hwriter,
methods, zlibbioc, lattice, latticeExtra,
Suggests: BiocStyle, RUnit, biomaRt, GenomicFeatures, yeastNagalakshmi
LinkingTo: S4Vectors, IRanges, XVector, Biostrings
biocViews: DataImport, Sequencing, QualityControl
NeedsCompilation: yes
Packaged: 2016-05-04 03:09:08 UTC; biocbuild

● Data Source: BioConductor
● BiocViews: DataImport, QualityControl, Sequencing
28 images, 62 functions, 0 datasets
Reverse Depends: 13

SplicingGraphs : Create, manipulate, visualize splicing graphs, and assign RNA-seq reads to them

Package: SplicingGraphs
Title: Create, manipulate, visualize splicing graphs, and assign
RNA-seq reads to them
Version: 1.12.0
Author: D. Bindreither, M. Carlson, M. Morgan, H. Pages
License: Artistic-2.0
Description: This package allows the user to create, manipulate, and visualize
splicing graphs and their bubbles based on a gene model for a given
organism. Additionally it allows the user to assign RNA-seq reads to
the edges of a set of splicing graphs, and to summarize them in
different ways.
Maintainer: H. Pages <hpages@fredhutch.org>
Depends: GenomicFeatures (>= 1.17.13), GenomicAlignments (>= 1.1.22),
Rgraphviz (>= 2.3.7)
Imports: methods, utils, igraph, BiocGenerics, S4Vectors (>= 0.9.25),
IRanges (>= 2.3.21), GenomeInfoDb, GenomicRanges (>= 1.23.21),
GenomicFeatures, Rsamtools, GenomicAlignments, graph, Rgraphviz
Suggests: igraph, Gviz, TxDb.Hsapiens.UCSC.hg19.knownGene,
RNAseqData.HNRNPC.bam.chr14, RUnit
Collate: utils.R igraph-utils.R SplicingGraphs-class.R
plotTranscripts-methods.R sgedgesByGene-methods.R
txpath-methods.R sgedges-methods.R sgraph-methods.R
rsgedgesByGene-methods.R bubbles-methods.R assignReads.R
countReads-methods.R toy_data.R zzz.R
biocViews: Genetics, Annotation, DataRepresentation, Visualization,
Sequencing, RNASeq, GeneExpression, AlternativeSplicing,
Transcription
NeedsCompilation: no
Packaged: 2016-05-04 04:58:04 UTC; biocbuild

● Data Source: BioConductor
● BiocViews: AlternativeSplicing, Annotation, DataRepresentation, GeneExpression, Genetics, RNASeq, Sequencing, Transcription, Visualization
37 images, 13 functions, 0 datasets
● Reverse Depends: 0

Basic4Cseq : Basic4Cseq: an R/Bioconductor package for analyzing 4C-seq data

Package: Basic4Cseq
Type: Package
Title: Basic4Cseq: an R/Bioconductor package for analyzing 4C-seq data
Version: 1.8.0
Date: 2015-08-24
Author: Carolin Walter
Maintainer: Carolin Walter <carolin.walter@uni-muenster.de>
Imports: methods, RCircos, BSgenome.Ecoli.NCBI.20080805
Depends: R (>= 3.0.0), Biostrings, GenomicAlignments, caTools,
GenomicRanges
Suggests: BSgenome.Hsapiens.UCSC.hg19
Description: Basic4Cseq is an R/Bioconductor package for basic
filtering, analysis and subsequent visualization of 4C-seq
data. Virtual fragment libraries can be created for any
BSGenome package, and filter functions for both reads and
fragments and basic quality controls are included. Fragment
data in the vicinity of the experiment's viewpoint can be
visualized as a coverage plot based on a running median
approach and a multi-scale contact profile.
License: LGPL-3
biocViews: Visualization, QualityControl
NeedsCompilation: no
Packaged: 2016-05-04 05:21:03 UTC; biocbuild

● Data Source: BioConductor
● BiocViews: QualityControl, Visualization
4 images, 20 functions, 2 datasets
● Reverse Depends: 0