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 | 17716 |
| number of invalid RefSeq identifiers | 79 |
| number of RefSeq identifiers with associated sequence | 16146 |
| 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 mock: 3065
Total number of distinct k-mers in mock: 4096
Number of statistically significantly (q < 0.01) enriched or depleted k-mers in ZFP36 overexpression: 1724
Total number of distinct k-mers in ZFP36 overexpression: 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: \(\bar{x} = 1.349781\)
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: \(\bar{x} = 0.810897\)
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: \(\bar{x} = 1.250836\)
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: \(\bar{x} = 0.943061\)
two-tailed probability estimate: \(\hat{p} = 2e-05\) \((0, 0)_{0.95}\)
Combined p-value of enriched k-mers: \(0.043716\)
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: \(\bar{x} = 1.155402\)
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: \(\bar{x} = 0.963542\)
two-tailed probability estimate: \(\hat{p} = 0.031939\) \((0.03, 0.033)_{0.95}\)
Combined p-value of enriched k-mers: \(0.178665\)
Combined p-value of depleted k-mers: \(0.001353\)
Empirical distribution of mean of enrichment values
k-mer volcano plots
Summary of motif k-mer enrichment values
Geometric mean: \(\bar{x} = 0.786655\)
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: \(\bar{x} = 1.058611\)
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: \(0.949279\)
Empirical distribution of mean of enrichment values
k-mer volcano plots
Summary of motif k-mer enrichment values
Geometric mean: \(\bar{x} = 0.777517\)
two-tailed probability estimate: \(\hat{p} = 2e-05\) \((0, 0)_{0.95}\)
Combined p-value of enriched k-mers: \(0.16163\)
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: \(\bar{x} = 1.053852\)
two-tailed probability estimate: \(\hat{p} = 6e-05\) \((0, 0)_{0.95}\)
Combined p-value of enriched k-mers: \(0\)
Combined p-value of depleted k-mers: \(0.347265\)
Empirical distribution of mean of enrichment values
k-mer volcano plots
Summary of motif k-mer enrichment values
Geometric mean: \(\bar{x} = 0.954979\)
two-tailed probability estimate: \(\hat{p} = 0.0149\) \((0.014, 0.016)_{0.95}\)
Combined p-value of enriched k-mers: \(0.906444\)
Combined p-value of depleted k-mers: \(0.007306\)
Empirical distribution of mean of enrichment values
k-mer volcano plots
Summary of motif k-mer enrichment values
Geometric mean: \(\bar{x} = 1.067292\)
two-tailed probability estimate: \(\hat{p} = 2e-05\) \((0, 0)_{0.95}\)
Combined p-value of enriched k-mers: \(0.000361\)
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: \(\bar{x} = 1.296025\)
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: \(\bar{x} = 0.922782\)
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: \(\bar{x} = 0.780361\)
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: \(\bar{x} = 1.043853\)
two-tailed probability estimate: \(\hat{p} = 2e-05\) \((0, 0)_{0.95}\)
Combined p-value of enriched k-mers: \(0.000248\)
Combined p-value of depleted k-mers: \(0.782356\)
Empirical distribution of mean of enrichment values
k-mer volcano plots
Summary of motif k-mer enrichment values
Geometric mean: \(\bar{x} = 0.915527\)
two-tailed probability estimate: \(\hat{p} = 8e-05\) \((0, 0)_{0.95}\)
Combined p-value of enriched k-mers: \(0.035648\)
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: \(\bar{x} = 0.925598\)
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: \(\bar{x} = 1.322345\)
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: \(\bar{x} = 0.852687\)
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: \(\bar{x} = 1.122804\)
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: \(0.89548\)
Empirical distribution of mean of enrichment values
k-mer volcano plots
Summary of motif k-mer enrichment values
Geometric mean: \(\bar{x} = 0.908966\)
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: \(\bar{x} = 1.1268\)
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: \(\bar{x} = 0.915828\)
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
## 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
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## locale:
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## [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] RColorBrewer_1.1-2
## [19] GenomicRanges_1.32.6
## [20] XVector_0.20.0
## [21] colorspace_1.3-2
## [22] httpuv_1.4.5
## [23] Matrix_1.2-14
## [24] htmltools_0.3.6
## [25] plyr_1.8.4
## [26] TxDb.Hsapiens.UCSC.hg38.knownGene_3.4.0
## [27] XML_3.98-1.16
## [28] pkgconfig_2.0.2
## [29] biomaRt_2.36.1
## [30] zlibbioc_1.26.0
## [31] xtable_1.8-3
## [32] purrr_0.2.5
## [33] scales_1.0.0
## [34] later_0.7.4
## [35] BiocParallel_1.14.2
## [36] tibble_1.4.2
## [37] ggplot2_3.0.0
## [38] SummarizedExperiment_1.10.1
## [39] GenomicFeatures_1.32.2
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## [46] evaluate_0.11
## [47] tools_3.5.1
## [48] prettyunits_1.0.2
## [49] hms_0.4.2
## [50] org.Hs.eg.db_3.6.0
## [51] matrixStats_0.54.0
## [52] formatR_1.5
## [53] stringr_1.3.1
## [54] munsell_0.5.0
## [55] DelayedArray_0.6.6
## [56] lambda.r_1.2.3
## [57] Biostrings_2.48.0
## [58] compiler_3.5.1
## [59] GenomeInfoDb_1.16.0
## [60] rlang_0.2.2
## [61] grid_3.5.1
## [62] RCurl_1.95-4.11
## [63] htmlwidgets_1.2
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## [67] gtable_0.2.0
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## [69] R6_2.2.2
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## [71] gridExtra_2.3
## [72] dplyr_0.7.6
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## [81] tidyselect_0.2.4