Post-transcriptional network modeling


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Documentation for package ‘postNet’ version 0.99.9

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postNet-package Post-transcriptional network modelling with postNet
codonCalc Quantify and compare codon or amino acid usage across gene sets
codonUsage Perform differential codon or amino acid usage analysis between gene sets
contentAnalysis Calculate nucleotide content of mRNA sequence regions and compare between gene sets
contentMotifs Detect, quantify, and compare sequence motifs between gene sets
featureIntegration Feature integration with post-transcriptional network modelling
foldingEnergyAnalysis Compare mRNA folding energy between gene sets
gageAnalysis Perform GAGE analysis with a 'postNetData' object
get_signatures Retrieve gene signatures provided in the postNet
goAnalysis Perform Gene Ontology Analysis using a 'postNetData' object
goDotplot Produce dot plots with results of GO term enrichment analysis
gseaAnalysis Perform Gene Set Enrichment Analysis (GSEA) with a 'postNetData' object
gseaPlot Plot enriched terms from GSEA
humanSignatures Human gene signatures of translational control
lengthAnalysis Calculate the length of mRNA sequence regions and compare between gene sets
miRNAanalysis Perform miRNA target enrichment analysis using a 'postNetData' object
motifAnalysis De novo motif discovery using STREME and a 'postNetData' object
mouseSignatures Mouse gene signatures of translational control
plotFeaturesMap Explore mRNA features and regulatory effects using UMAP visualizations
plotSignatures Analysis of regulation of gene signatures in a 'postNetData' object
plotSignatures_ads Analysis of regulation of gene signatures in an 'Anota2seqDataSet' object
postNet Post-transcriptional network modelling with postNet
postNetData-class S4 Class 'postNetData': Core data container for postNet analyses
postNetExample An example dataset for demonstrating the usage of postNet functions
postNetStart Create the data container and inputs for postNet analyses
postNetVignette An example dataset for demonstrating the workflow of a postNet ananlysis
ptn_background Accessor for the gene set used as background in a 'postNetData' object
ptn_background-method Accessor for the gene set used as background in a 'postNetData' object
ptn_check_models Accessor for the feature integration model comparisons in a 'postNetData' object
ptn_codonAnalysis Accessor for the "codonAnalysis" slot of a 'postNetData' object
ptn_codonAnalysis-method Accessor for the "codonAnalysis" slot of a 'postNetData' object
ptn_codonSelection Accessor for the "codonSelection" slot of a 'postNetData' object
ptn_codonSelection-method Accessor for the "codonSelection" slot of a 'postNetData' object
ptn_colours Accessor for the "colours" slot of a 'postNetData' object
ptn_colours-method Accessor for the "colours" slot of a 'postNetData' object
ptn_dataIn Accessor for the "background", "geneList", "effect", and "colours" slots of a 'postNetData' object
ptn_dataIn-method Accessor for the "background", "geneList", "effect", and "colours" slots of a 'postNetData' object
ptn_effect Accessor for the regulatory effect measurement from the "effect" slot of a 'postNetData' object
ptn_effect-method Accessor for the regulatory effect measurement from the "effect" slot of a 'postNetData' object
ptn_features Accessor for the 'features' slot of a 'postNetData' object
ptn_features-method Accessor for the 'features' slot of a 'postNetData' object
ptn_GAGE Accessor for the "GAGE" slot of a 'postNetData' object
ptn_geneID Accessor for the gene IDs in the "geneID" slot of a 'postNetData' object
ptn_geneID-method Accessor for the gene IDs in the "geneID" slot of a 'postNetData' object
ptn_geneList Accessor for the "geneList" slot of a 'postNetData' object
ptn_geneList-method Accessor for the "geneList" slot of a 'postNetData' object
ptn_GO Accessor for the "GO" slot of a 'postNetData' object
ptn_GSEA Accessor for the "GSEA" slot of a 'postNetData' object
ptn_id Accessor for the transcript IDs in the "id" slot of a 'postNetData' object
ptn_id-method Accessor for the transcript IDs in the "id" slot of a 'postNetData' object
ptn_miRNA_analysis Accessor for the "miRNA_analysis" slot of a 'postNetData' object
ptn_miRNA_to_gene Accessor for the "miRNA_to_gene" slot of a 'postNetData' object
ptn_model Accessor for the feature integration model slots of a 'postNetData' object
ptn_motifGeneList Accessor for the de novo motif analysis results for each gene set of interest in a 'postNetData' object
ptn_motifGeneList-method Accessor for the de novo motif analysis results for each gene set of interest in a 'postNetData' object
ptn_motifSelection Accessor for the "motifSelection" slot of a 'postNetData' object
ptn_motifSelection-method Accessor for the "motifSelection" slot of a 'postNetData' object
ptn_networkGraph Accessor for the 'networkGraph' slot of a 'postNetData' object
ptn_networkGraph-method Accessor for the 'networkGraph' slot of a 'postNetData' object
ptn_selectedFeatures Accessor for the 'selectedFeatures' slot of a 'postNetData' object
ptn_selection Accessor for the isoform selection parameter from the "selection" slot of a 'postNetData' object
ptn_selection-method Accessor for the isoform selection parameter from the "selection" slot of a 'postNetData' object
ptn_sequences Accessor for the reference annotation sequences in the sequence annotation slots of a 'postNetData' object
ptn_sequences-method Accessor for the reference annotation sequences in the sequence annotation slots of a 'postNetData' object
ptn_species Accessor for the "species" slot of a 'postNetData' object
ptn_species-method Accessor for the "species" slot of a 'postNetData' object
ptn_version Accessor for the RefSeq annotation release version from the "version" slot of a 'postNetData' object
ptn_version-method Accessor for the RefSeq annotation release version from the "version" slot of a 'postNetData' object
rfPred Predict post-transcriptional regulation using trained random forest models
signaturesHeatmap Generate heatmaps to evaluate the regulation of gene signatures in a 'postNetData' object
signCalc Create gene signatures for use in feature integration analysis
slopeFilt Filtering 'anota2seq' analysis results according to slopes for use in GSEA, GAGE, and GO term analyses
uorfAnalysis Detect and quantify upstream open reading frames (uORFs)