Analysis approach:
approach <- "matrix"
Species:
species <- "human"
Graphical output format:
graphics.format <- "SVG"
Sequence region:
sequence.type <- "3UTR"
P-value adjustment method:
p.adjust.method <- "BH"
Maxmimum number of binding sites per transcript:
max.hits <- 5
Motif database:
motif.db <- "transite"
The latest genome assembly releases (GRCh38/hg38 for human platforms, GRCm38/mm10 for mouse platforms) are used to retrieve the requested sequence regions for all specified transcripts.
Sequence data retrieval summary:
| Property | Value |
|---|---|
| number of valid RefSeq identifiers | 190655 |
| number of invalid RefSeq identifiers | 40271 |
| number of RefSeq identifiers with associated sequence | 184597 |
| species | human |
| sequence type | 3UTR |
| platform | custom |
Length distribution of retrieved sequences:
## R version 3.5.1 (2018-07-02)
## Platform: x86_64-pc-linux-gnu (64-bit)
## Running under: Ubuntu 16.04.5 LTS
##
## Matrix products: default
## BLAS: /usr/lib/libblas/libblas.so.3.6.0
## LAPACK: /usr/lib/lapack/liblapack.so.3.6.0
##
## locale:
## [1] LC_CTYPE=en_US.UTF-8 LC_NUMERIC=C
## [3] LC_TIME=en_US.UTF-8 LC_COLLATE=en_US.UTF-8
## [5] LC_MONETARY=en_US.UTF-8 LC_MESSAGES=en_US.UTF-8
## [7] LC_PAPER=en_US.UTF-8 LC_NAME=C
## [9] LC_ADDRESS=C LC_TELEPHONE=C
## [11] LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C
##
## attached base packages:
## [1] parallel stats4 stats graphics grDevices utils datasets
## [8] methods base
##
## other attached packages:
## [1] bindrcpp_0.2.2 transite_0.99.3 DT_0.4
## [4] knitr_1.20 AnnotationDbi_1.42.1 IRanges_2.14.11
## [7] S4Vectors_0.18.3 Biobase_2.40.0 BiocGenerics_0.26.0
## [10] rmarkdown_1.10 futile.logger_1.4.3
##
## loaded via a namespace (and not attached):
## [1] httr_1.3.1
## [2] jsonlite_1.5
## [3] bit64_0.9-7
## [4] shiny_1.1.0
## [5] assertthat_0.2.0
## [6] blob_1.1.1
## [7] GenomeInfoDbData_1.1.0
## [8] Rsamtools_1.32.3
## [9] yaml_2.2.0
## [10] progress_1.2.0
## [11] lattice_0.20-35
## [12] pillar_1.3.0
## [13] RSQLite_2.1.1
## [14] backports_1.1.2
## [15] glue_1.3.0
## [16] digest_0.6.17
## [17] promises_1.0.1
## [18] GenomicRanges_1.32.6
## [19] XVector_0.20.0
## [20] colorspace_1.3-2
## [21] httpuv_1.4.5
## [22] Matrix_1.2-14
## [23] htmltools_0.3.6
## [24] plyr_1.8.4
## [25] TxDb.Hsapiens.UCSC.hg38.knownGene_3.4.0
## [26] XML_3.98-1.16
## [27] pkgconfig_2.0.2
## [28] biomaRt_2.36.1
## [29] zlibbioc_1.26.0
## [30] xtable_1.8-3
## [31] purrr_0.2.5
## [32] scales_1.0.0
## [33] later_0.7.4
## [34] BiocParallel_1.14.2
## [35] tibble_1.4.2
## [36] ggplot2_3.0.0
## [37] SummarizedExperiment_1.10.1
## [38] GenomicFeatures_1.32.2
## [39] TFMPvalue_0.0.8
## [40] lazyeval_0.2.1
## [41] mime_0.5
## [42] magrittr_1.5
## [43] crayon_1.3.4
## [44] memoise_1.1.0
## [45] evaluate_0.11
## [46] tools_3.5.1
## [47] prettyunits_1.0.2
## [48] hms_0.4.2
## [49] org.Hs.eg.db_3.6.0
## [50] matrixStats_0.54.0
## [51] formatR_1.5
## [52] stringr_1.3.1
## [53] munsell_0.5.0
## [54] DelayedArray_0.6.6
## [55] lambda.r_1.2.3
## [56] Biostrings_2.48.0
## [57] compiler_3.5.1
## [58] GenomeInfoDb_1.16.0
## [59] rlang_0.2.2
## [60] grid_3.5.1
## [61] RCurl_1.95-4.11
## [62] htmlwidgets_1.2
## [63] crosstalk_1.0.0
## [64] labeling_0.3
## [65] bitops_1.0-6
## [66] gtable_0.2.0
## [67] DBI_1.0.0
## [68] R6_2.2.2
## [69] GenomicAlignments_1.16.0
## [70] gridExtra_2.3
## [71] dplyr_0.7.6
## [72] rtracklayer_1.40.6
## [73] bit_1.1-14
## [74] bindr_0.1.1
## [75] rprojroot_1.3-2
## [76] futile.options_1.0.1
## [77] stringi_1.2.4
## [78] Rcpp_0.12.18
## [79] dbplyr_1.2.2
## [80] tidyselect_0.2.4