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
Package: RNAither
Title: Statistical analysis of high-throughput RNAi screens
Version: 2.20.0
Author: Nora Rieber and Lars Kaderali, University of Heidelberg,
Viroquant Research Group Modeling, Im Neuenheimer Feld 267,
69120 Heidelberg, Germany
Maintainer: Lars Kaderali <lars.kaderali@uni-greifswald.de>
Depends: R (>= 2.10), topGO, RankProd, prada
Imports: geneplotter, limma, biomaRt, car, splots, methods
Description: RNAither analyzes cell-based RNAi screens, and includes
quality assessment, customizable normalization and statistical
tests, leading to lists of significant genes and biological
processes.
License: Artistic-2.0
biocViews: CellBasedAssays, QualityControl, Preprocessing,
Visualization, Annotation, GO
NeedsCompilation: no
Packaged: 2016-05-05 01:59:59 UTC; biocbuild
providing 
.