I am getting an error when trying to run the annotateClusters function from the wavClusteR pipeline. All the other steps in the pipeline work. It appears to be an issue with the plotting. Any ideas? This step is quite far down the analysis pipeline, so I am not sure what other items might be relevant for sharing in order to troubleshoot the issue. The source data is a sorted bam file produced by bowtie/samtools, using mm10 samples. So far I have encountered this error with all of the samples I have tried to process.
> annotateClusters( clusters = wavclusters, + txDB = txDB, + plot = TRUE, + verbose = TRUE) Extracting genomic features from TranscriptDb object... Computing overlaps with genomic features on the sense strand... Considering non-mapped clusters and computing overlaps with genomic features on the antisense strand... Error in labeller(label_df) : argument "value" is missing, with no default
> sessionInfo() R version 3.2.3 (2015-12-10) Platform: x86_64-pc-linux-gnu (64-bit) Running under: CentOS release 6.3 (Final) locale: [1] C attached base packages: [1] stats4 parallel stats graphics grDevices utils datasets [8] methods base other attached packages: [1] GenomicFeatures_1.22.13 AnnotationDbi_1.32.3 [3] Biobase_2.30.0 BSgenome.Mmusculus.UCSC.mm10_1.4.0 [5] BSgenome_1.38.0 rtracklayer_1.30.4 [7] wavClusteR_2.4.1 Rsamtools_1.22.0 [9] Biostrings_2.38.4 XVector_0.10.0 [11] GenomicRanges_1.22.4 GenomeInfoDb_1.6.3 [13] IRanges_2.4.8 S4Vectors_0.8.11 [15] BiocGenerics_0.16.1 loaded via a namespace (and not attached): [1] SummarizedExperiment_1.0.2 reshape2_1.4.1 [3] splines_3.2.3 lattice_0.20-33 [5] colorspace_1.2-6 chron_2.3-47 [7] XML_3.98-1.4 survival_2.39-2 [9] foreign_0.8-66 DBI_0.4 [11] BiocParallel_1.4.3 RColorBrewer_1.1-2 [13] splus2R_1.2-0 lambda.r_1.1.7 [15] foreach_1.4.3 plyr_1.8.3 [17] stringr_1.0.0 zlibbioc_1.16.0 [19] munsell_0.4.3 gtable_0.2.0 [21] futile.logger_1.4.1 codetools_0.2-14 [23] labeling_0.3 latticeExtra_0.6-28 [25] biomaRt_2.26.1 wmtsa_2.0-0 [27] Rcpp_0.12.4 acepack_1.3-3.3 [29] scales_0.4.0 Hmisc_3.17-4 [31] gridExtra_2.2.1 ggplot2_2.1.0 [33] stringi_1.0-1 grid_3.2.3 [35] ade4_1.7-4 tools_3.2.3 [37] bitops_1.0-6 magrittr_1.5 [39] ifultools_2.0-1 RCurl_1.95-4.8 [41] RSQLite_1.0.0 Formula_1.2-1 [43] cluster_2.0.4 futile.options_1.0.0 [45] seqinr_3.1-3 MASS_7.3-45 [47] Matrix_1.2-6 data.table_1.9.6 [49] iterators_1.0.8 mclust_5.2 [51] rpart_4.1-10 GenomicAlignments_1.6.3 [53] nnet_7.3-12 compiler_3.2.3
Thank you for your help. I need to run the developer version of R/Bioconductor to get the changes? Any idea when this will be pushed out to official releases?
You can also install the package from my GitHub repository with
I would strongly advise to upgrade to R 3.3.0. Hope this helps, Federico