| mapRNA | mobileRNA pre-processing method for sRNAseq & mRNAseq (alignment, raw count or cluster analysis) |
| mRNA_data | mRNA_data: simulated messenger RNA data for biological replicates |
| plotHeatmap | Heatmap of log-transformed normalization data |
| plotRNAfeatures | Plots the distribution of genomic features in the genome and those that overlap with sRNA clusters |
| plotSampleDistance | Sample distance matrix |
| plotSamplePCA | PCA plot of PC1 and PC2 |
| RNAattributes | Overlap the genomic features related to the sRNA clusters |
| RNAdf2se | Convert a 'mobileRNA' dataframe to a SummarizedExperiment object |
| RNAdicercall | Define the consensus dicercall for each sRNA cluster |
| RNAdifferentialAnalysis | Differential Analysis using 'DESeq2' or 'edgeR' |
| RNAdistribution | Plot the distribution of sRNA classes based on nucleotide length |
| RNAfeatures | Summarise the distribution of sRNA clusters across genomic features |
| RNAimport | Import and organise sRNAseq & mRNAseq data sets |
| RNAmergeAnnotations | Merge two genome annotation files (GFF Format) |
| RNAmergeGenomes | Merge two genome reference assemblies (FASTA format) |
| RNAmobile | Identify putative RNA molecules produced by the non-tissue sample genome |
| RNApopulation | Identify gained/lost RNA populations between treatment and control conditions |
| RNAreorder | Reorder the data frame for differential analysis, ensuring control verse treatment comparison |
| RNAsequences | Extract RNA sequence from sRNA clusters |
| RNAsubset | Subset sRNA data based on dicercall size |
| RNAsummary | Summarise differential analysis results |
| sRNA_data | sRNA_data: simulated data for biological replicates |