An introduction to the bambu package using NanoporeRNASeq data

Introduction

NanoporeRNASeq contains RNA-Seq data from the K562 and MCF7 cell lines that were generated by the SG-NEx project (https://github.com/GoekeLab/sg-nex-data). Each of these cell line has three replicates, with 1 direct RNA sequencing data and 2 cDNA sequencing data. The files contains reads aligned to the human genome (Grch38) chromosome 22 (1:25500000).

Accessing NanoporeRNASeq data

Load the NanoporeRNASeq package

List the samples

List the available BamFile

Get the annotation GRangesList

Visualizing gene of interest from a single bam file

We can visualize the one sample for a single gene ENST00000215832 (MAPK1)

library(ggbio)
range <- HsChr22BambuAnnotation$ENST00000215832
# plot mismatch track
library(BSgenome.Hsapiens.NCBI.GRCh38)
# plot annotation track
tx <- autoplot(range, aes(col = strand), group.selfish = TRUE)
# plot coverage track
coverage <- autoplot(bamFiles[[1]], aes(col = coverage), which = range)

# merge the tracks into one plot
tracks(annotation = tx, coverage = coverage, heights = c(1, 3)) + theme_minimal()

Running Bambu with NanoporeRNASeq data

Load the bambu package

Run bambu

Applying bambu to bamFiles

bambu returns a SummarizedExperiment object

Visualizing gene examples

We can visualize the annotated and novel isoforms identified in this gene example using plot functions from bambu

##> [[1]]
##> TableGrob (3 x 1) "arrange": 3 grobs
##>   z     cells    name                grob
##> 1 1 (2-2,1-1) arrange      gtable[layout]
##> 2 2 (3-3,1-1) arrange      gtable[layout]
##> 3 3 (1-1,1-1) arrange text[GRID.text.262]
sessionInfo()
##> R version 4.2.0 RC (2022-04-19 r82224)
##> Platform: x86_64-pc-linux-gnu (64-bit)
##> Running under: Ubuntu 20.04.4 LTS
##> 
##> Matrix products: default
##> BLAS:   /home/biocbuild/bbs-3.15-bioc/R/lib/libRblas.so
##> LAPACK: /home/biocbuild/bbs-3.15-bioc/R/lib/libRlapack.so
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##>  [9] LC_ADDRESS=C               LC_TELEPHONE=C            
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##> 
##> attached base packages:
##> [1] stats4    stats     graphics  grDevices utils     datasets  methods  
##> [8] base     
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##> other attached packages:
##>  [1] bambu_2.2.0                           
##>  [2] SummarizedExperiment_1.26.0           
##>  [3] Biobase_2.56.0                        
##>  [4] MatrixGenerics_1.8.0                  
##>  [5] matrixStats_0.62.0                    
##>  [6] BSgenome.Hsapiens.NCBI.GRCh38_1.3.1000
##>  [7] BSgenome_1.64.0                       
##>  [8] rtracklayer_1.56.0                    
##>  [9] ggbio_1.44.0                          
##> [10] ggplot2_3.3.5                         
##> [11] Rsamtools_2.12.0                      
##> [12] Biostrings_2.64.0                     
##> [13] XVector_0.36.0                        
##> [14] GenomicRanges_1.48.0                  
##> [15] GenomeInfoDb_1.32.0                   
##> [16] IRanges_2.30.0                        
##> [17] S4Vectors_0.34.0                      
##> [18] NanoporeRNASeq_1.6.0                  
##> [19] ExperimentHub_2.4.0                   
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##> [22] dbplyr_2.1.1                          
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