- Regeneration: Collapse replicates by mean
- Functions to manage GTF files
- mRNA-lncRNA pair plots
- Generate time point plot
- Handle excel Alternative Splicing events
- Pairwise Correlation analysis
- PCA specific samples
- Plot Correlation
- Remove Batch effect
- tSNE specific samples
- FEELnc utilities
- bioMaRt example
To use the script: Regeneration/f.Collapse.Regeneration.replicates.by.mean.R the input matrix has to have the following order otherwise the mean calculations are senseless. Matrix order:
- Control_0h_R1_India
- Control_0h_R2_India
- Regeneration__0h_R1_India
- Regeneration__0h_R2_India
- Control_15h_R1_India
- Control_15h_R2_India
- Regeneration__15h_R1_India
- Regeneration__15h_R2_India
- Control_25h_R1_India
- Control_25h_R2_India
- Regeneration__25h_R1_India
- Regeneration__25h_R2_India
Script: f.lncRNA.mRNA.pair.Generate.plot.R
Description:
This function needs 2 inputs:
- Expression matrix (Gene_IDs in rows and Sample_Names in columns)
- lncRNA-mRNA pais in the following order:
| lncRNA_Gene_ID | lncRNA_Gene_Name | mRNA_Gene_ID | mRNA_Gene_Name |
|---|---|---|---|
| FBgn0058469 | CR40469 | FBgn0025837 | CG17636 |
| FBgn0266686 | CR45176 | FBgn0036992 | CG11796 |
| FBgn0267913 | CR46194 | FBgn0014184 | Oda |
Description:
This function converts FEELnc classification output from gene IDs into gene names (and transcripts). By default it doesn't maintain lncRNA IDs (maintain.ID = FALSE)
This function needs 3 inputs:
- 1) FEELnc_classification output with default order (isBest, lncRNA_gene, lncRNA_transcript, partnerRNA_gene, partnerRNA_transcript, direction, type, distance, subtype, location)
- 2) lncRNA gene description: Gene_ID, Gene_Name, Transcript_ID and Transcript_Name
- 3) mRNA genes description: sames as lncRNA.
Obtain the long intergenic RNA (lincRNA) with the lowest distance with its partner mRNA or another genomic feature (promoter, etc.) and if all lincRNA-mRNA pairs have the same distance maintain the first one (this is arbitrary).
Script: bioMart.example.dme.R
Description:
In this script some examples are presented on how to use bioMaRt to retrieve genomic information using Dme