Package: illuminaHumanv2BeadID.db
Title: Illumina HumanWGv2 annotation data (chip illuminaHumanv2BeadID)
Description: Illumina HumanWGv2 annotation data (chip illuminaHumanv2BeadID) assembled using data from public repositories to be used with data summarized from bead-level data with numeric ArrayAddressIDs as keys. Illumina probes with a No match or Bad quality score were removed prior to annotation. See http://www.compbio.group.cam.ac.uk/Resources/Annotation/index.html and Barbosa-Morais et al (2010) A re-annotation pipeline for Illumina BeadArrays: improving the interpretation of gene expression data. Nucleic Acids Research.
Version: 1.8.0
Author: Mark Dunning, Matt Ritchie, Nuno Barbosa-Morais
Maintainer: Mark Dunning <mark.dunning@cancer.org.uk>
Depends: R (>= 2.7.0), methods, AnnotationDbi (>= 1.11.8), org.Hs.eg.db (>= 2.4.5)
Suggests: annotate
Imports: methods, AnnotationDbi
License: Artistic-2.0
organism: Homo sapiens
species: Human
manufacturer: Illumina
chipName: HumanWGv2
manufacturerUrl: http://www.illumina.com
biocViews: AnnotationData, IlluminaChip, Homo_sapiens, illuminaHumanv2BeadID
Packaged: 2011-04-14 17:54:50 UTC; mcarlson
Package: tRanslatome
Type: Package
Title: Comparison between multiple levels of gene expression
Version: 1.10.0
Date: 2015-08-20
Author: Toma Tebaldi, Erik Dassi, Galena Kostoska
Maintainer: Toma Tebaldi <tebaldi@science.unitn.it>, Erik Dassi <erik.dassi@unitn.it>
Depends: R (>= 2.15.0), methods, limma, sigPathway, samr, anota, DESeq, edgeR, RankProd, topGO, org.Hs.eg.db, GOSemSim, Heatplus, gplots, plotrix, Biobase
Description: Detection of differentially expressed genes (DEGs) from the comparison of two biological conditions (treated vs. untreated, diseased vs. normal, mutant vs. wild-type) among different levels of gene expression (transcriptome ,translatome, proteome), using several statistical methods: Rank Product, Translational Efficiency, t-test, SAM, Limma, ANOTA, DESeq, edgeR. Possibility to plot the results with scatterplots, histograms, MA plots, standard deviation (SD) plots, coefficient of variation (CV) plots. Detection of significantly enriched post-transcriptional regulatory factors (RBPs, miRNAs, etc) and Gene Ontology terms in the lists of DEGs previously identified for the two expression levels. Comparison of GO terms enriched only in one of the levels or in both. Calculation of the semantic similarity score between the lists of enriched GO terms coming from the two expression levels. Visual examination and comparison of the enriched terms with heatmaps, radar plots and barplots.
License: GPL-3
LazyLoad: yes
biocViews: CellBiology, GeneRegulation, Regulation, GeneExpression,
DifferentialExpression, Microarray, HighThroughputSequencing,
QualityControl, GO, MultipleComparisons, Bioinformatics
Packaged: 2016-05-04 04:58:42 UTC; biocbuild
NeedsCompilation: no
providing 
.