Hi,
Looking for a package to investigate the functional interactions of alternative splicing events, I found "ASpediaFI" on Bioconductor. Although I successfully performed the analysis on trial data, I faced an error when trying to detect and annotate AS events from the actual hg38 GTF file.
I would be appreciated it if someone could tell me where the problem is?
The code I have used is:
#Detect and annotate AS events from a subset of the hg38 GTF file
gtf <- "Homo_sapiens.GRCh38.104.gtf"
SF1.ASpediaFI <- annotateASevents(SF1.ASpediaFI,
gtf.file = gtf, num.cores = 40)
I have faced the following error:
Error in each.chr.txTable[, "GENEID"] : incorrect number of dimensions
In addition: There were 50 or more warnings (use warnings() to see the first 50)
Attaching SeuratObject
And my sessionInfo is as follow:
> sessionInfo( )
R version 4.1.2 (2021-11-01)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: Ubuntu 20.04.3 LTS
Matrix products: default
BLAS: /usr/lib/x86_64-linux-gnu/blas/libblas.so.3.9.0
LAPACK: /usr/lib/x86_64-linux-gnu/lapack/liblapack.so.3.9.0
locale:
[1] LC_CTYPE=en_US.UTF-8 LC_NUMERIC=C LC_TIME=en_US.UTF-8
[4] LC_COLLATE=en_US.UTF-8 LC_MONETARY=en_US.UTF-8 LC_MESSAGES=en_US.UTF-8
[7] LC_PAPER=en_US.UTF-8 LC_NAME=C LC_ADDRESS=C
[10] LC_TELEPHONE=C LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C
attached base packages:
[1] stats4 stats graphics grDevices utils datasets methods base
other attached packages:
[1] igraph_1.2.11 ASpediaFI_1.8.0
[3] ROCR_1.0-11 AnnotationHub_3.2.2
[5] BiocFileCache_2.2.1 dbplyr_2.1.1
[7] sva_3.42.0 BiocParallel_1.28.3
[9] mgcv_1.8-38 nlme_3.1-152
[11] data.table_1.14.2 limma_3.50.1
[13] gplots_3.1.1 pheatmap_1.0.12
[15] ggrepel_0.9.1 genefilter_1.76.0
[17] DESeq2_1.34.0 forcats_0.5.1
[19] stringr_1.4.0 purrr_0.3.4
[21] readr_2.1.2 tidyr_1.2.0
[23] tibble_3.1.6 tidyverse_1.3.1
[25] plotrix_3.8-2 Matrix_1.4-0
[27] GeomxTools_2.0.0 NanoStringNCTools_1.2.0
[29] SingleCellExperiment_1.16.0 glmGamPoi_1.6.0
[31] RColorBrewer_1.1-2 celldex_1.4.0
[33] dplyr_1.0.8 SingleR_1.8.1
[35] SummarizedExperiment_1.24.0 Biobase_2.54.0
[37] GenomicRanges_1.46.1 GenomeInfoDb_1.30.1
[39] IRanges_2.28.0 S4Vectors_0.32.4
[41] BiocGenerics_0.40.0 MatrixGenerics_1.6.0
[43] matrixStats_0.61.0 ggplot2_3.3.5
[45] SeuratObject_4.0.4 Seurat_4.1.0