Hi,
I'm trying to use this program to analyze four human (aligned to hg19) 4C-Seq samples - two experimental conditions with two replicates each. I'm following the vignette workflow. After adjusting the minCount (= 300) and minDist (=14000) parameters in getZScores, I've ended up with nice-looking normal q-q plots, and the plotFits plots for all four samples show the expected interactions between my viewpoint enhancer and fragments at the target promoter and an adjacent enhancer.
However, I can't get plotZScores to work at all - I keep getting the following cryptic error:
> plotZScores(fcf1[,c("viewpoint1_DMSO_1", "viewpoint1_DMSO_2")], plotWindows = c(5e+04, 5e+06), + txdb=TxDb.Hsapiens.UCSC.hg19.knownGene) [1] "viewpoint1" Error in combine_vars(data, params$plot_env, cols, drop = params$drop) : At least one layer must contain all variables used for facetting In addition: Warning messages: 1: In .Seqinfo.mergexy(x, y) : The 2 combined objects have no sequence levels in common. (Use suppressWarnings() to suppress this warning.) 2: In .Seqinfo.mergexy(x, y) : The 2 combined objects have no sequence levels in common. (Use suppressWarnings() to suppress this warning.) 3: In .Seqinfo.mergexy(x, y) : The 2 combined objects have no sequence levels in common. (Use suppressWarnings() to suppress this warning.)
Does anyone know what's going on? I've tried to run this without the txdb argument, but then I just get this error:
Error: Objects of type standardGeneric not supported by autoplot.
Any help much appreciated!
> sessionInfo() R version 3.3.1 (2016-06-21) Platform: x86_64-apple-darwin13.4.0 (64-bit) Running under: OS X 10.12.5 (Sierra) locale: [1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8 attached base packages: [1] splines stats4 parallel stats graphics grDevices utils datasets methods [10] base other attached packages: [1] TxDb.Hsapiens.UCSC.hg19.knownGene_3.2.2 GenomicFeatures_1.24.5 [3] AnnotationDbi_1.34.4 FourCSeq_1.6.2 [5] LSD_3.0 DESeq2_1.12.4 [7] SummarizedExperiment_1.2.3 Biobase_2.32.0 [9] ggplot2_2.2.1 GenomicRanges_1.24.3 [11] GenomeInfoDb_1.8.7 IRanges_2.6.1 [13] S4Vectors_0.10.3 BiocGenerics_0.18.0 [15] BiocInstaller_1.22.3 loaded via a namespace (and not attached): [1] httr_1.2.1 AnnotationHub_2.4.2 bit64_0.9-7 [4] gtools_3.5.0 shiny_1.0.3 Formula_1.2-1 [7] interactiveDisplayBase_1.10.3 latticeExtra_0.6-28 RBGL_1.48.1 [10] blob_1.1.0 BSgenome_1.40.1 Rsamtools_1.24.0 [13] RSQLite_2.0 backports_1.1.0 lattice_0.20-35 [16] biovizBase_1.20.0 digest_0.6.12 RColorBrewer_1.1-2 [19] XVector_0.12.1 checkmate_1.8.3 colorspace_1.3-2 [22] ggbio_1.20.2 httpuv_1.3.5 htmltools_0.3.6 [25] Matrix_1.2-10 plyr_1.8.4 OrganismDbi_1.14.1 [28] pkgconfig_2.0.1 XML_3.98-1.9 biomaRt_2.28.0 [31] fda_2.4.4 genefilter_1.54.2 zlibbioc_1.18.0 [34] xtable_1.8-2 scales_0.4.1 BiocParallel_1.6.6 [37] htmlTable_1.9 tibble_1.3.3 annotate_1.50.1 [40] nnet_7.3-12 lazyeval_0.2.0 mime_0.5 [43] survival_2.41-3 magrittr_1.5 memoise_1.1.0 [46] GGally_1.3.1 foreign_0.8-69 graph_1.50.0 [49] tools_3.3.1 data.table_1.10.4 stringr_1.2.0 [52] munsell_0.4.3 locfit_1.5-9.1 cluster_2.0.6 [55] ensembldb_1.4.7 Biostrings_2.40.2 rlang_0.1.1 [58] grid_3.3.1 RCurl_1.95-4.8 dichromat_2.0-0 [61] VariantAnnotation_1.18.7 htmlwidgets_0.8 labeling_0.3 [64] bitops_1.0-6 base64enc_0.1-3 gtable_0.2.0 [67] DBI_0.7 reshape_0.8.6 R6_2.2.2 [70] reshape2_1.4.2 GenomicAlignments_1.8.4 gridExtra_2.2.1 [73] knitr_1.16 rtracklayer_1.32.2 bit_1.1-12 [76] Hmisc_4.0-3 stringi_1.1.5 Rcpp_0.12.11 [79] geneplotter_1.50.0 rpart_4.1-11 acepack_1.4.1