Last data update: 2014.03.03

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seqTools : Analysis of nucleotide, sequence and quality content on fastq files.

Package: seqTools
Type: Package
Title: Analysis of nucleotide, sequence and quality content on fastq
files.
Version: 1.6.0
Date: 2013-10-14
Author: Wolfgang Kaisers
Maintainer: Wolfgang Kaisers <kaisers@med.uni-duesseldorf.de>
Description: Analyze read length, phred scores and alphabet frequency and DNA k-mers on uncompressed and compressed fastq files.
biocViews: QualityControl,Sequencing
License: Artistic-2.0
Depends: methods, utils, zlibbioc
LinkingTo: zlibbioc
Suggests: RUnit, BiocGenerics
NeedsCompilation: yes
Packaged: 2016-05-04 05:55:53 UTC; biocbuild

● Data Source: BioConductor
● BiocViews: QualityControl, Sequencing
18 images, 32 functions, 0 datasets
● Reverse Depends: 0

BitSeq : Transcript expression inference and differential expression analysis for RNA-seq data

Package: BitSeq
Type: Package
Depends: Rsamtools, zlibbioc
Imports: S4Vectors, IRanges
LinkingTo: Rsamtools (>= 1.19.38), zlibbioc
Suggests: edgeR, DESeq, BiocStyle
Title: Transcript expression inference and differential expression
analysis for RNA-seq data
Version: 1.16.0
Date: 2014-10-03
Author: Peter Glaus, Antti Honkela and Magnus Rattray
Maintainer: Antti Honkela <antti.honkela@hiit.fi>, Panagiotis Papastamoulis <panagiotis.papastamoulis@manchester.ac.uk>
Description: The BitSeq package is targeted for transcript expression
analysis and differential expression analysis of RNA-seq data
in two stage process. In the first stage it uses Bayesian
inference methodology to infer expression of individual
transcripts from individual RNA-seq experiments. The second
stage of BitSeq embraces the differential expression analysis
of transcript expression. Providing expression estimates from
replicates of multiple conditions, Log-Normal model of the
estimates is used for inferring the condition mean transcript
expression and ranking the transcripts based on the likelihood
of differential expression.
License: Artistic-2.0 + file LICENSE
Packaged: 2016-05-04 04:30:02 UTC; biocbuild
biocViews: GeneExpression, DifferentialExpression, Sequencing, RNASeq,
Bayesian, AlternativeSplicing, DifferentialSplicing,
Transcription
NeedsCompilation: yes

● Data Source: BioConductor
● BiocViews: AlternativeSplicing, Bayesian, DifferentialExpression, DifferentialSplicing, GeneExpression, RNASeq, Sequencing, Transcription
● 0 images, 13 functions, 0 datasets
● Reverse Depends: 0