date generated: 2021-03-25
Mitch performs unidimensional and multidimensional gene set enrichment analysis. The concept behind this dates to work by Cox and Mann (https://doi.org/10.1186/1471-2105-13-S16-S12). This implementation is suited to R based workflows of multi-omics datasets. This software was developed by Antony Kaspi and Mark Ziemann. Learn more about Mitch at the website: https://github.com/markziemann/Mitch
Here is the first few lines of the input profile.
## x
## 1MMP -0.06943941
## 2-Cys 1.11074220
## 2A6 0.87763168
## 2MMP -6.21455109
## 3AT1 0.03357734
## 3BETAHSD/D1 2.94991600
Here are some metrics about the input data profile:
Profile metrics | |
---|---|
num_genesets | 4 |
num_genes_in_profile | 21222 |
duplicated_genes_present | 0 |
num_profile_genes_in_sets | 155 |
num_profile_genes_not_in_sets | 21067 |
Here is a plot of the input profiles. Note the dynamic ranges.
Here is the contour plot of the profile including all detected genes.
Gene sets metrics | |
---|---|
num_genesets | 4 |
num_genesets_excluded | 0 |
num_genesets_included | 4 |
Significance is calculated by -log10(p-value). All points shown are FDR<0.05.
Significance is calculated by -log10(p-value). Top N sets shown irrespective of FDR.
set | setSize | pANOVA | s.dist | p.adjustANOVA |
---|---|---|---|---|
MISC GLUTATHIONE S TRANSFERASES | 52 | 2.55e-05 | -0.3370 | 0.000102 |
REDOX DISMUTASES AND CATALASES | 11 | 7.32e-02 | -0.3120 | 0.098400 |
REDOX GLUTAREDOXINS | 30 | 7.38e-02 | -0.1890 | 0.098400 |
MISC PEROXIDASES | 62 | 6.37e-01 | 0.0346 | 0.637000 |
set | setSize | pANOVA | s.dist | p.adjustANOVA |
---|---|---|---|---|
MISC GLUTATHIONE S TRANSFERASES | 52 | 2.55e-05 | -0.3370 | 0.000102 |
REDOX DISMUTASES AND CATALASES | 11 | 7.32e-02 | -0.3120 | 0.098400 |
REDOX GLUTAREDOXINS | 30 | 7.38e-02 | -0.1890 | 0.098400 |
MISC PEROXIDASES | 62 | 6.37e-01 | 0.0346 | 0.637000 |
MISC_GLUTATHIONE_S_TRANSFERASES
1 | |
---|---|
set | MISC_GLUTATHIONE_S_TRANSFERASES |
setSize | 52 |
pANOVA | 2.55e-05 |
s.dist | -0.337 |
p.adjustANOVA | 0.000102 |
Top enriched genes
GeneID | Gene Rank |
---|---|
GSTF7 | -10286 |
GSTU10 | -10256 |
GSTF6 | -10208 |
GSTL1 | -10193 |
GSTU9 | -10085 |
GSTF2 | -10084 |
AT1G65820 | -9993 |
GSTU4 | -9893 |
GSTF3 | -9755 |
GSTU27 | -9608 |
ATGSTZ1 | -9524 |
ATGSTF4 | -9420 |
GSTU1 | -9238 |
GSTU18 | -9182 |
GSTU5 | -9012 |
GSTU3 | -8888 |
GSTU19 | -8879 |
GSTU13 | -8810 |
GSTL3 | -8752 |
GSTU26 | -8308 |
GeneID | Gene Rank |
---|---|
GSTF7 | -10286 |
GSTU10 | -10256 |
GSTF6 | -10208 |
GSTL1 | -10193 |
GSTU9 | -10085 |
GSTF2 | -10084 |
AT1G65820 | -9993 |
GSTU4 | -9893 |
GSTF3 | -9755 |
GSTU27 | -9608 |
ATGSTZ1 | -9524 |
ATGSTF4 | -9420 |
GSTU1 | -9238 |
GSTU18 | -9182 |
GSTU5 | -9012 |
GSTU3 | -8888 |
GSTU19 | -8879 |
GSTU13 | -8810 |
GSTL3 | -8752 |
GSTU26 | -8308 |
GSTF10 | -7394 |
AT5G44000 | -7263 |
GSTU24 | -7242 |
GSTU11 | -6841 |
GSTU6 | -6044 |
GSTU7 | -6010 |
TCHQD | -5995 |
GSTU23 | -5968 |
GSTU2 | -5585 |
GSTT1 | -5475 |
GSTU12 | -5269 |
PER4 | -4566 |
GSTU8 | -4020 |
GSTF14 | -549 |
GSTF9 | -389 |
GSTU17 | 1180 |
GSTZ2 | 1315 |
GSTL2 | 1637 |
GSTT2 | 2520 |
GSTF13 | 4406 |
GSTF12 | 4552 |
ATGSTU21 | 4987 |
GSTU22 | 5231 |
GSTU14 | 5710 |
GSTT3 | 6332 |
GSTU25 | 6490 |
GSTU28 | 7472 |
AT4G19880 | 7903 |
GSTF11 | 8709 |
PER5 | 10044 |
GSTF8 | 10292 |
GSTU20 | 10446 |
REDOX_DISMUTASES_AND_CATALASES
3 | |
---|---|
set | REDOX_DISMUTASES_AND_CATALASES |
setSize | 11 |
pANOVA | 0.0732 |
s.dist | -0.312 |
p.adjustANOVA | 0.0984 |
Top enriched genes
GeneID | Gene Rank |
---|---|
CAT2 | -9937 |
FSD1 | -9388 |
CSD1 | -8389 |
CAT1 | -7685 |
MSD1 | -7593 |
FSD3 | -5429 |
FSD2 | -2993 |
CSD3 | 1195 |
CSD2 | 2434 |
CAT3 | 5498 |
CCS | 9271 |
GeneID | Gene Rank |
---|---|
CAT2 | -9937 |
FSD1 | -9388 |
CSD1 | -8389 |
CAT1 | -7685 |
MSD1 | -7593 |
FSD3 | -5429 |
FSD2 | -2993 |
CSD3 | 1195 |
CSD2 | 2434 |
CAT3 | 5498 |
CCS | 9271 |
REDOX_GLUTAREDOXINS
4 | |
---|---|
set | REDOX_GLUTAREDOXINS |
setSize | 30 |
pANOVA | 0.0738 |
s.dist | -0.189 |
p.adjustANOVA | 0.0984 |
Top enriched genes
GeneID | Gene Rank |
---|---|
GRXC1 | -9332 |
AT5G40370 | -9328 |
AT2G20270 | -8669 |
AT5G06470 | -8591 |
GRXC9 | -7588 |
GRXC4 | -7406 |
AT1G77370 | -7046 |
AT3G28850 | -7021 |
GRXS9 | -6637 |
GRXS11 | -5751 |
AT5G13810 | -4972 |
GRXC7 | -4720 |
GRXS15 | -3915 |
GRXC5 | -3900 |
AT1G64500 | -3353 |
GRXC8 | -3245 |
AT1G32760 | -2967 |
GRXS1 | -336 |
AT1G03850 | 233 |
AT4G10630 | 236 |
GeneID | Gene Rank |
---|---|
GRXC1 | -9332 |
AT5G40370 | -9328 |
AT2G20270 | -8669 |
AT5G06470 | -8591 |
GRXC9 | -7588 |
GRXC4 | -7406 |
AT1G77370 | -7046 |
AT3G28850 | -7021 |
GRXS9 | -6637 |
GRXS11 | -5751 |
AT5G13810 | -4972 |
GRXC7 | -4720 |
GRXS15 | -3915 |
GRXC5 | -3900 |
AT1G64500 | -3353 |
GRXC8 | -3245 |
AT1G32760 | -2967 |
GRXS1 | -336 |
AT1G03850 | 233 |
AT4G10630 | 236 |
AT3G57070 | 371 |
AT5G01420 | 791 |
GRXC6 | 891 |
AT2G41330 | 3290 |
AT5G39865 | 6408 |
AT5G58530 | 6762 |
AT5G03870 | 7801 |
GRXC10 | 8418 |
GRXS6 | 8764 |
GRXC14 | 10088 |
MISC_PEROXIDASES
2 | |
---|---|
set | MISC_PEROXIDASES |
setSize | 62 |
pANOVA | 0.637 |
s.dist | 0.0346 |
p.adjustANOVA | 0.637 |
Top enriched genes
GeneID | Gene Rank |
---|---|
PER27 | 10856 |
PER2 | 10711 |
PER50 | 10661 |
PER23 | 10362 |
PER16 | 10342 |
PER26 | 10275 |
PER39 | 9801 |
PER51 | 9667 |
PER19 | 9641 |
PER73 | 9525 |
PER71 | 9365 |
PER61 | 9130 |
AT5G14130 | 8450 |
PER63 | 8413 |
PER42 | 8389 |
AT4G26010 | 8132 |
PER69 | 7085 |
PER64 | 6517 |
PER24 | 6328 |
AT5G17820 | 5721 |
GeneID | Gene Rank |
---|---|
PER27 | 10856 |
PER2 | 10711 |
PER50 | 10661 |
PER23 | 10362 |
PER16 | 10342 |
PER26 | 10275 |
PER39 | 9801 |
PER51 | 9667 |
PER19 | 9641 |
PER73 | 9525 |
PER71 | 9365 |
PER61 | 9130 |
AT5G14130 | 8450 |
PER63 | 8413 |
PER42 | 8389 |
AT4G26010 | 8132 |
PER69 | 7085 |
PER64 | 6517 |
PER24 | 6328 |
AT5G17820 | 5721 |
PER12 | 5519 |
PER37 | 5015 |
PER32 | 3849 |
PER35 | 3663 |
PER43 | 3373 |
PER10 | 3228 |
PER46 | 2207 |
PER45 | 2116 |
PER31 | 2043 |
PER21 | 1715 |
PER60 | 1345 |
PER56 | 1040 |
APX6 | 889 |
PER9 | 547 |
PER67 | 70 |
PER59 | -1032 |
PER7 | -1079 |
PER20 | -1280 |
PER72 | -1561 |
PER38 | -1786 |
PER62 | -1855 |
PER40 | -2362 |
PER30 | -2675 |
PER48 | -2677 |
PER70 | -3016 |
PER17 | -4839 |
PER8 | -7273 |
PER65 | -8433 |
PER11 | -8446 |
PER58 | -8528 |
PER66 | -9011 |
PER53 | -9134 |
PER25 | -9318 |
PER14 | -9416 |
PER28 | -9740 |
PER49 | -9757 |
PER15 | -9990 |
PER22 | -10103 |
PER52 | -10139 |
AT4G33420 | -10218 |
PER54 | -10232 |
PER34 | -10297 |
Here is the session info with all the versions of packages used.
sessionInfo()
## R version 4.0.3 (2020-10-10)
## Platform: x86_64-pc-linux-gnu (64-bit)
## Running under: Ubuntu 20.04.2 LTS
##
## Matrix products: default
## BLAS: /usr/lib/x86_64-linux-gnu/blas/libblas.so.3.9.0
## LAPACK: /usr/lib/x86_64-linux-gnu/lapack/liblapack.so.3.9.0
##
## 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] pkgload_1.2.0 GGally_2.1.1
## [3] ggplot2_3.3.3 beeswarm_0.3.1
## [5] gtools_3.8.2 tibble_3.1.0
## [7] dplyr_1.0.5 echarts4r_0.4.0
## [9] vioplot_0.3.5 zoo_1.8-9
## [11] sm_2.2-5.6 UpSetR_1.4.0
## [13] eulerr_6.1.0 kableExtra_1.3.4
## [15] mitch_1.2.2 DESeq2_1.30.0
## [17] SummarizedExperiment_1.20.0 Biobase_2.50.0
## [19] MatrixGenerics_1.2.0 matrixStats_0.58.0
## [21] GenomicRanges_1.42.0 GenomeInfoDb_1.26.0
## [23] IRanges_2.24.0 S4Vectors_0.28.0
## [25] BiocGenerics_0.36.0 gplots_3.1.1
## [27] reshape2_1.4.4
##
## loaded via a namespace (and not attached):
## [1] colorspace_2.0-0 ellipsis_0.3.1 rprojroot_2.0.2
## [4] XVector_0.30.0 rstudioapi_0.13 farver_2.1.0
## [7] bit64_4.0.5 AnnotationDbi_1.52.0 fansi_0.4.2
## [10] xml2_1.3.2 splines_4.0.3 cachem_1.0.4
## [13] geneplotter_1.68.0 knitr_1.31 polyclip_1.10-0
## [16] jsonlite_1.7.2 annotate_1.68.0 shiny_1.6.0
## [19] compiler_4.0.3 httr_1.4.2 assertthat_0.2.1
## [22] Matrix_1.3-2 fastmap_1.1.0 later_1.1.0.1
## [25] prettyunits_1.1.1 htmltools_0.5.1.1 tools_4.0.3
## [28] gtable_0.3.0 glue_1.4.2 GenomeInfoDbData_1.2.4
## [31] Rcpp_1.0.6 jquerylib_0.1.3 vctrs_0.3.6
## [34] svglite_2.0.0 polylabelr_0.2.0 xfun_0.22
## [37] stringr_1.4.0 testthat_3.0.2 rvest_1.0.0
## [40] mime_0.10 lifecycle_1.0.0 XML_3.99-0.6
## [43] zlibbioc_1.36.0 MASS_7.3-53.1 scales_1.1.1
## [46] hms_1.0.0 promises_1.2.0.1 RColorBrewer_1.1-2
## [49] yaml_2.2.1 memoise_2.0.0 gridExtra_2.3
## [52] sass_0.3.1 reshape_0.8.8 stringi_1.5.3
## [55] RSQLite_2.2.4 highr_0.8 genefilter_1.72.0
## [58] desc_1.3.0 caTools_1.18.1 BiocParallel_1.24.1
## [61] rlang_0.4.10 pkgconfig_2.0.3 systemfonts_1.0.1
## [64] bitops_1.0-6 evaluate_0.14 lattice_0.20-41
## [67] purrr_0.3.4 labeling_0.4.2 htmlwidgets_1.5.3
## [70] bit_4.0.4 tidyselect_1.1.0 plyr_1.8.6
## [73] magrittr_2.0.1 R6_2.5.0 generics_0.1.0
## [76] DelayedArray_0.16.0 DBI_1.1.1 withr_2.4.1
## [79] pillar_1.5.1 survival_3.2-10 RCurl_1.98-1.3
## [82] crayon_1.4.1 KernSmooth_2.23-18 utf8_1.2.1
## [85] rmarkdown_2.7 progress_1.2.2 locfit_1.5-9.4
## [88] grid_4.0.3 blob_1.2.1 digest_0.6.27
## [91] webshot_0.5.2 xtable_1.8-4 httpuv_1.5.5
## [94] munsell_0.5.0 viridisLite_0.3.0 bslib_0.2.4
## [97] tcltk_4.0.3
END of report