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 | 8472 |
| number of invalid RefSeq identifiers | 73 |
| number of RefSeq identifiers with associated sequence | 8249 |
| species | human |
| sequence type | 3UTR |
| platform | custom |
Length distribution of retrieved sequences:
## R version 3.4.4 (2018-03-15)
## Platform: x86_64-pc-linux-gnu (64-bit)
## Running under: Ubuntu 16.04.4 LTS
##
## Matrix products: default
## BLAS: /usr/lib/libblas/libblas.so.3.6.0
## LAPACK: /usr/lib/lapack/liblapack.so.3.6.0
##
## locale:
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## [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 methods stats graphics grDevices utils
## [8] datasets base
##
## other attached packages:
## [1] bindrcpp_0.2.2 transite_0.99.3 DT_0.4
## [4] knitr_1.20 AnnotationDbi_1.40.0 IRanges_2.12.0
## [7] S4Vectors_0.16.0 Biobase_2.38.0 BiocGenerics_0.24.0
## [10] rmarkdown_1.9 futile.logger_1.4.3
##
## loaded via a namespace (and not attached):
## [1] httr_1.3.1
## [2] RMySQL_0.10.15
## [3] jsonlite_1.5
## [4] bit64_0.9-7
## [5] shiny_1.1.0
## [6] assertthat_0.2.0
## [7] blob_1.1.1
## [8] GenomeInfoDbData_1.0.0
## [9] Rsamtools_1.30.0
## [10] yaml_2.1.19
## [11] progress_1.1.2
## [12] lattice_0.20-35
## [13] pillar_1.2.3
## [14] RSQLite_2.1.1
## [15] backports_1.1.2
## [16] glue_1.2.0
## [17] digest_0.6.15
## [18] promises_1.0.1
## [19] GenomicRanges_1.30.3
## [20] XVector_0.18.0
## [21] colorspace_1.3-2
## [22] httpuv_1.4.3
## [23] htmltools_0.3.6
## [24] Matrix_1.2-14
## [25] plyr_1.8.4
## [26] TxDb.Hsapiens.UCSC.hg38.knownGene_3.4.0
## [27] XML_3.98-1.11
## [28] pkgconfig_2.0.1
## [29] biomaRt_2.34.2
## [30] zlibbioc_1.24.0
## [31] xtable_1.8-2
## [32] purrr_0.2.5
## [33] scales_0.5.0
## [34] later_0.7.2
## [35] BiocParallel_1.12.0
## [36] tibble_1.4.2
## [37] ggplot2_2.2.1
## [38] SummarizedExperiment_1.8.1
## [39] GenomicFeatures_1.30.3
## [40] TFMPvalue_0.0.8
## [41] lazyeval_0.2.1
## [42] mime_0.5
## [43] magrittr_1.5
## [44] memoise_1.1.0
## [45] evaluate_0.10.1
## [46] tools_3.4.4
## [47] prettyunits_1.0.2
## [48] org.Hs.eg.db_3.5.0
## [49] formatR_1.5
## [50] matrixStats_0.53.1
## [51] stringr_1.3.1
## [52] munsell_0.4.3
## [53] DelayedArray_0.4.1
## [54] lambda.r_1.2.3
## [55] Biostrings_2.46.0
## [56] compiler_3.4.4
## [57] GenomeInfoDb_1.14.0
## [58] rlang_0.2.1
## [59] grid_3.4.4
## [60] RCurl_1.95-4.10
## [61] htmlwidgets_1.2
## [62] crosstalk_1.0.0
## [63] labeling_0.3
## [64] bitops_1.0-6
## [65] gtable_0.2.0
## [66] DBI_1.0.0
## [67] R6_2.2.2
## [68] GenomicAlignments_1.14.2
## [69] gridExtra_2.3
## [70] dplyr_0.7.5
## [71] rtracklayer_1.38.3
## [72] bit_1.1-14
## [73] bindr_0.1.1
## [74] rprojroot_1.3-2
## [75] futile.options_1.0.1
## [76] stringi_1.2.2
## [77] Rcpp_0.12.17
## [78] dbplyr_1.2.1
## [79] tidyselect_0.2.4