Analysis approach:
approach <- "kmer"
Species:
species <- "human"
Graphical output format:
graphics.format <- "SVG"
Sequence region:
sequence.type <- "3UTR"
P-value adjustment method:
p.adjust.method <- "BH"
P-value combining method:
p.combining.method <- "SL"
k-mer length:
k <- 6
Significance threshold for k-mers:
kmer.significance.threshold <- 0.01
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:
Number of statistically significantly (q < 0.01) enriched or depleted k-mers in downregulated: 315
Total number of distinct k-mers in downregulated: 4096
Number of statistically significantly (q < 0.01) enriched or depleted k-mers in upregulated: 467
Total number of distinct k-mers in upregulated: 4096
Volcano plots for the ten motifs with the lowest p-value in each foreground set are shown here. Volcano plots for all other motifs can be found in the plots ZIP archive.
k-mer volcano plots
Summary of motif k-mer enrichment values
Geometric mean: \(\bar{x} = 0.807903\)
two-tailed probability estimate: \(\hat{p} = 2e-05\) \((0, 0)_{0.95}\)
Combined p-value of enriched k-mers: \(NA\)
Combined p-value of depleted k-mers: \(0\)
Empirical distribution of mean of enrichment values
k-mer volcano plots
Summary of motif k-mer enrichment values
Geometric mean: \(\bar{x} = 1.264335\)
two-tailed probability estimate: \(\hat{p} = 2e-05\) \((0, 0)_{0.95}\)
Combined p-value of enriched k-mers: \(0\)
Combined p-value of depleted k-mers: \(NA\)
Empirical distribution of mean of enrichment values
k-mer volcano plots
Summary of motif k-mer enrichment values
Geometric mean: \(\bar{x} = 0.787083\)
two-tailed probability estimate: \(\hat{p} = 2e-05\) \((0, 0)_{0.95}\)
Combined p-value of enriched k-mers: \(NA\)
Combined p-value of depleted k-mers: \(0\)
Empirical distribution of mean of enrichment values
k-mer volcano plots
Summary of motif k-mer enrichment values
Geometric mean: \(\bar{x} = 1.347507\)
two-tailed probability estimate: \(\hat{p} = 2e-05\) \((0, 0)_{0.95}\)
Combined p-value of enriched k-mers: \(0\)
Combined p-value of depleted k-mers: \(NA\)
Empirical distribution of mean of enrichment values
k-mer volcano plots
Summary of motif k-mer enrichment values
Geometric mean: \(\bar{x} = 1.099604\)
two-tailed probability estimate: \(\hat{p} = 0.01876\) \((0.018, 0.02)_{0.95}\)
Combined p-value of enriched k-mers: \(5.3e-05\)
Combined p-value of depleted k-mers: \(0.789329\)
Empirical distribution of mean of enrichment values
k-mer volcano plots
Summary of motif k-mer enrichment values
Geometric mean: \(\bar{x} = 0.810441\)
two-tailed probability estimate: \(\hat{p} = 2e-05\) \((0, 0)_{0.95}\)
Combined p-value of enriched k-mers: \(0.81511\)
Combined p-value of depleted k-mers: \(2e-06\)
Empirical distribution of mean of enrichment values
k-mer volcano plots
Summary of motif k-mer enrichment values
Geometric mean: \(\bar{x} = 0.827043\)
two-tailed probability estimate: \(\hat{p} = 2e-05\) \((0, 0)_{0.95}\)
Combined p-value of enriched k-mers: \(NA\)
Combined p-value of depleted k-mers: \(0\)
Empirical distribution of mean of enrichment values
k-mer volcano plots
Summary of motif k-mer enrichment values
Geometric mean: \(\bar{x} = 1.266235\)
two-tailed probability estimate: \(\hat{p} = 2e-05\) \((0, 0)_{0.95}\)
Combined p-value of enriched k-mers: \(0\)
Combined p-value of depleted k-mers: \(NA\)
Empirical distribution of mean of enrichment values
k-mer volcano plots
Summary of motif k-mer enrichment values
Geometric mean: \(\bar{x} = 1.266572\)
two-tailed probability estimate: \(\hat{p} = 4e-05\) \((0, 0)_{0.95}\)
Combined p-value of enriched k-mers: \(0\)
Combined p-value of depleted k-mers: \(NA\)
Empirical distribution of mean of enrichment values
k-mer volcano plots
Summary of motif k-mer enrichment values
Geometric mean: \(\bar{x} = 0.74439\)
two-tailed probability estimate: \(\hat{p} = 2e-05\) \((0, 0)_{0.95}\)
Combined p-value of enriched k-mers: \(NA\)
Combined p-value of depleted k-mers: \(0\)
Empirical distribution of mean of enrichment values
k-mer volcano plots
Summary of motif k-mer enrichment values
Geometric mean: \(\bar{x} = 1.127543\)
two-tailed probability estimate: \(\hat{p} = 3e-04\) \((0, 0)_{0.95}\)
Combined p-value of enriched k-mers: \(0.158522\)
Combined p-value of depleted k-mers: \(0.497998\)
Empirical distribution of mean of enrichment values
k-mer volcano plots
Summary of motif k-mer enrichment values
Geometric mean: \(\bar{x} = 0.83702\)
two-tailed probability estimate: \(\hat{p} = 2e-05\) \((0, 0)_{0.95}\)
Combined p-value of enriched k-mers: \(NA\)
Combined p-value of depleted k-mers: \(0\)
Empirical distribution of mean of enrichment values
k-mer volcano plots
Summary of motif k-mer enrichment values
Geometric mean: \(\bar{x} = 0.76176\)
two-tailed probability estimate: \(\hat{p} = 2e-05\) \((0, 0)_{0.95}\)
Combined p-value of enriched k-mers: \(NA\)
Combined p-value of depleted k-mers: \(0\)
Empirical distribution of mean of enrichment values
k-mer volcano plots
Summary of motif k-mer enrichment values
Geometric mean: \(\bar{x} = 1.377795\)
two-tailed probability estimate: \(\hat{p} = 2e-05\) \((0, 0)_{0.95}\)
Combined p-value of enriched k-mers: \(0\)
Combined p-value of depleted k-mers: \(NA\)
Empirical distribution of mean of enrichment values
k-mer volcano plots
Summary of motif k-mer enrichment values
Geometric mean: \(\bar{x} = 0.81844\)
two-tailed probability estimate: \(\hat{p} = 2e-05\) \((0, 0)_{0.95}\)
Combined p-value of enriched k-mers: \(NA\)
Combined p-value of depleted k-mers: \(0\)
Empirical distribution of mean of enrichment values
k-mer volcano plots
Summary of motif k-mer enrichment values
Geometric mean: \(\bar{x} = 1.273306\)
two-tailed probability estimate: \(\hat{p} = 2e-05\) \((0, 0)_{0.95}\)
Combined p-value of enriched k-mers: \(0\)
Combined p-value of depleted k-mers: \(NA\)
Empirical distribution of mean of enrichment values
k-mer volcano plots
Summary of motif k-mer enrichment values
Geometric mean: \(\bar{x} = 0.81844\)
two-tailed probability estimate: \(\hat{p} = 2e-05\) \((0, 0)_{0.95}\)
Combined p-value of enriched k-mers: \(NA\)
Combined p-value of depleted k-mers: \(2.2e-05\)
Empirical distribution of mean of enrichment values
k-mer volcano plots
Summary of motif k-mer enrichment values
Geometric mean: \(\bar{x} = 1.134646\)
two-tailed probability estimate: \(\hat{p} = 0.0017\) \((0.001, 0.002)_{0.95}\)
Combined p-value of enriched k-mers: \(3.2e-05\)
Combined p-value of depleted k-mers: \(0.95385\)
Empirical distribution of mean of enrichment values
k-mer volcano plots
Summary of motif k-mer enrichment values
Geometric mean: \(\bar{x} = 1.072479\)
two-tailed probability estimate: \(\hat{p} = 0.00576\) \((0.005, 0.006)_{0.95}\)
Combined p-value of enriched k-mers: \(0.111198\)
Combined p-value of depleted k-mers: \(0.999996\)
Empirical distribution of mean of enrichment values
k-mer volcano plots
Summary of motif k-mer enrichment values
Geometric mean: \(\bar{x} = 0.849853\)
two-tailed probability estimate: \(\hat{p} = 2e-05\) \((0, 0)_{0.95}\)
Combined p-value of enriched k-mers: \(0.966543\)
Combined p-value of depleted k-mers: \(0\)
Empirical distribution of mean of enrichment values
k-mer volcano plots
Summary of motif k-mer enrichment values
Geometric mean: \(\bar{x} = 1.139143\)
two-tailed probability estimate: \(\hat{p} = 0.00338\) \((0.003, 0.004)_{0.95}\)
Combined p-value of enriched k-mers: \(0.000127\)
Combined p-value of depleted k-mers: \(0.639623\)
Empirical distribution of mean of enrichment values
k-mer volcano plots
Summary of motif k-mer enrichment values
Geometric mean: \(\bar{x} = 0.783598\)
two-tailed probability estimate: \(\hat{p} = 2e-05\) \((0, 0)_{0.95}\)
Combined p-value of enriched k-mers: \(NA\)
Combined p-value of depleted k-mers: \(0\)
Empirical distribution of mean of enrichment values
k-mer volcano plots
Summary of motif k-mer enrichment values
Geometric mean: \(\bar{x} = 0.831872\)
two-tailed probability estimate: \(\hat{p} = 2e-05\) \((0, 0)_{0.95}\)
Combined p-value of enriched k-mers: \(NA\)
Combined p-value of depleted k-mers: \(0\)
Empirical distribution of mean of enrichment values
k-mer volcano plots
Summary of motif k-mer enrichment values
Geometric mean: \(\bar{x} = 1.248897\)
two-tailed probability estimate: \(\hat{p} = 2e-05\) \((0, 0)_{0.95}\)
Combined p-value of enriched k-mers: \(0\)
Combined p-value of depleted k-mers: \(NA\)
Empirical distribution of mean of enrichment values
k-mer volcano plots
Summary of motif k-mer enrichment values
Geometric mean: \(\bar{x} = 0.825734\)
two-tailed probability estimate: \(\hat{p} = 2e-05\) \((0, 0)_{0.95}\)
Combined p-value of enriched k-mers: \(NA\)
Combined p-value of depleted k-mers: \(0\)
Empirical distribution of mean of enrichment values
k-mer volcano plots
Summary of motif k-mer enrichment values
Geometric mean: \(\bar{x} = 1.265866\)
two-tailed probability estimate: \(\hat{p} = 2e-05\) \((0, 0)_{0.95}\)
Combined p-value of enriched k-mers: \(0\)
Combined p-value of depleted k-mers: \(NA\)
Empirical distribution of mean of enrichment values
k-mer volcano plots
Summary of motif k-mer enrichment values
Geometric mean: \(\bar{x} = 0.827204\)
two-tailed probability estimate: \(\hat{p} = 2e-05\) \((0, 0)_{0.95}\)
Combined p-value of enriched k-mers: \(NA\)
Combined p-value of depleted k-mers: \(0\)
Empirical distribution of mean of enrichment values
k-mer volcano plots
Summary of motif k-mer enrichment values
Geometric mean: \(\bar{x} = 1.247546\)
two-tailed probability estimate: \(\hat{p} = 2e-05\) \((0, 0)_{0.95}\)
Combined p-value of enriched k-mers: \(0\)
Combined p-value of depleted k-mers: \(NA\)
Empirical distribution of mean of enrichment values
k-mer volcano plots
Summary of motif k-mer enrichment values
Geometric mean: \(\bar{x} = 0.844129\)
two-tailed probability estimate: \(\hat{p} = 2e-05\) \((0, 0)_{0.95}\)
Combined p-value of enriched k-mers: \(NA\)
Combined p-value of depleted k-mers: \(0\)
Empirical distribution of mean of enrichment values
k-mer volcano plots
Summary of motif k-mer enrichment values
Geometric mean: \(\bar{x} = 1.204145\)
two-tailed probability estimate: \(\hat{p} = 2e-05\) \((0, 0)_{0.95}\)
Combined p-value of enriched k-mers: \(0\)
Combined p-value of depleted k-mers: \(NA\)
Empirical distribution of mean of enrichment values
## 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:
## [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 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] RColorBrewer_1.1-2
## [20] GenomicRanges_1.30.3
## [21] XVector_0.18.0
## [22] colorspace_1.3-2
## [23] httpuv_1.4.3
## [24] htmltools_0.3.6
## [25] Matrix_1.2-14
## [26] plyr_1.8.4
## [27] TxDb.Hsapiens.UCSC.hg38.knownGene_3.4.0
## [28] XML_3.98-1.11
## [29] pkgconfig_2.0.1
## [30] biomaRt_2.34.2
## [31] zlibbioc_1.24.0
## [32] xtable_1.8-2
## [33] purrr_0.2.5
## [34] scales_0.5.0
## [35] later_0.7.2
## [36] BiocParallel_1.12.0
## [37] tibble_1.4.2
## [38] ggplot2_2.2.1
## [39] SummarizedExperiment_1.8.1
## [40] GenomicFeatures_1.30.3
## [41] TFMPvalue_0.0.8
## [42] lazyeval_0.2.1
## [43] mime_0.5
## [44] magrittr_1.5
## [45] memoise_1.1.0
## [46] evaluate_0.10.1
## [47] tools_3.4.4
## [48] prettyunits_1.0.2
## [49] org.Hs.eg.db_3.5.0
## [50] formatR_1.5
## [51] matrixStats_0.53.1
## [52] stringr_1.3.1
## [53] munsell_0.4.3
## [54] DelayedArray_0.4.1
## [55] lambda.r_1.2.3
## [56] Biostrings_2.46.0
## [57] compiler_3.4.4
## [58] GenomeInfoDb_1.14.0
## [59] rlang_0.2.1
## [60] grid_3.4.4
## [61] RCurl_1.95-4.10
## [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_1.14.2
## [70] gridExtra_2.3
## [71] dplyr_0.7.5
## [72] rtracklayer_1.38.3
## [73] bit_1.1-14
## [74] bindr_0.1.1
## [75] rprojroot_1.3-2
## [76] futile.options_1.0.1
## [77] stringi_1.2.2
## [78] Rcpp_0.12.17
## [79] dbplyr_1.2.1
## [80] tidyselect_0.2.4