我正在尝试使用cummeRbund包绘制一个感兴趣的基因。使用此脚本：
biomTrack<-BiomartGeneRegionTrack(genome=genome, chromosome=as.character(myChr), start=myStart, end=myEnd, name="ENSEMBL", showId=T)
我遇到了这个错误：
Error in .getBiomart(genome) :
Gviz thinks that the UCSC genome identifier 'hg38' should map to the current Biomart head as 'GRCh38', but its current version is 'GRCh38.p5'.
Please manually provide biomaRt object.
使用useMart("ensembl",dataset="hsapiens_gene_ensembl")也无济于事。你能告诉我怎么解决这个问题？
以下是sessionInfo()
> sessionInfo()
R version 3.3.0 (2016-05-03)
Platform: x86_64-redhat-linux-gnu (64-bit)
Running under: CentOS Linux 7 (Core)
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] grid stats4 parallel stats graphics grDevices utils datasets methods base
other attached packages:
[1] biomaRt_2.28.0 cummeRbund_2.14.0 Gviz_1.16.1 rtracklayer_1.32.1 GenomicRanges_1.24.2
[6] GenomeInfoDb_1.8.1 IRanges_2.6.0 S4Vectors_0.10.1 fastcluster_1.1.20 reshape2_1.4.1
[11] ggplot2_2.1.0 RSQLite_1.0.0 DBI_0.4-1 BiocGenerics_0.18.0
loaded via a namespace (and not attached):
[1] SummarizedExperiment_1.2.3 VariantAnnotation_1.18.1 splines_3.3.0
[4] lattice_0.20-33 colorspace_1.2-6 htmltools_0.3.5
[7] GenomicFeatures_1.24.2 chron_2.3-47 interactiveDisplayBase_1.10.3
[10] XML_3.98-1.4 survival_2.39-4 foreign_0.8-66
[13] ensembldb_1.4.2 BiocParallel_1.6.2 RColorBrewer_1.1-2
[16] matrixStats_0.50.2 plyr_1.8.4 stringr_1.0.0
[19] zlibbioc_1.18.0 Biostrings_2.40.2 munsell_0.4.3
[22] gtable_0.2.0 latticeExtra_0.6-28 Biobase_2.32.0
[25] BiocInstaller_1.22.2 httpuv_1.3.3 AnnotationDbi_1.34.3
[28] Rcpp_0.12.5 xtable_1.8-2 acepack_1.3-3.3
[31] BSgenome_1.40.1 scales_0.4.0 Hmisc_3.17-4
[34] XVector_0.12.0 mime_0.4 Rsamtools_1.24.0
[37] gridExtra_2.2.1 AnnotationHub_2.4.2 digest_0.6.9
[40] stringi_1.1.1 biovizBase_1.20.0 shiny_0.13.2
[43] tools_3.3.0 bitops_1.0-6 magrittr_1.5
[46] RCurl_1.95-4.8 dichromat_2.0-0 Formula_1.2-1
[49] cluster_2.0.4 Matrix_1.2-6 data.table_1.9.6
[52] httr_1.2.0 R6_2.1.2 rpart_4.1-10
[55] GenomicAlignments_1.8.3 nnet_7.3-12