Wajid Jawaid 2023-07-25
enrichR can be installed from Github or from CRAN.
library(devtools)
install_github("wjawaid/enrichR")The package can be downloaded from CRAN using:
install.packages("enrichR")enrichR provides an interface to the Enrichr database (Kuleshov et al. 2016) hosted at https://maayanlab.cloud/Enrichr/.
By default human genes are selected otherwise select your organism of choice. (This functionality was contributed by Alexander Blume)
library(enrichR)
#> Welcome to enrichR
#> Checking connection ...
#> Enrichr ... Connection is Live!
#> FlyEnrichr ... Connection is Live!
#> WormEnrichr ... Connection is Live!
#> YeastEnrichr ... Connection is Live!
#> FishEnrichr ... Connection is Live!
#> OxEnrichr ... Connection is Live!
listEnrichrSites()
#> Enrichr ... Connection is Live!
#> FlyEnrichr ... Connection is Live!
#> WormEnrichr ... Connection is Live!
#> YeastEnrichr ... Connection is Live!
#> FishEnrichr ... Connection is Live!
#> OxEnrichr ... Connection is Live!
setEnrichrSite("Enrichr") # Human genes
#> Connection changed to https://maayanlab.cloud/Enrichr/
#> Connection is Live!List all available databases from Enrichr.
dbs <- listEnrichrDbs()head(dbs)| geneCoverage | genesPerTerm | libraryName | numTerms | appyter | categoryId |
|---|---|---|---|---|---|
| 13362 | 275 | Genome_Browser_PWMs | 615 | ea115789fcbf12797fd692cec6df0ab4dbc79c6a | 1 |
| 27884 | 1284 | TRANSFAC_and_JASPAR_PWMs | 326 | 7d42eb43a64a4e3b20d721fc7148f685b53b6b30 | 1 |
| 6002 | 77 | Transcription_Factor_PPIs | 290 | 849f222220618e2599d925b6b51868cf1dab3763 | 1 |
| 47172 | 1370 | ChEA_2013 | 353 | 7ebe772afb55b63b41b79dd8d06ea0fdd9fa2630 | 7 |
| 47107 | 509 | Drug_Perturbations_from_GEO_2014 | 701 | ad270a6876534b7cb063e004289dcd4d3164f342 | 7 |
| 21493 | 3713 | ENCODE_TF_ChIP-seq_2014 | 498 | 497787ebc418d308045efb63b8586f10c526af51 | 7 |
Select the 2023 GO databases.
dbs <- c("GO_Molecular_Function_2023", "GO_Cellular_Component_2023",
"GO_Biological_Process_2023")Query with enrichr using genes available from the package.
# Load example input genes
data(input)
length(input)
#> [1] 375
head(input)
#> [1] "Nsun3" "Polrmt" "Nlrx1" "Sfxn5" "Zc3h12c" "Slc25a39"
enriched <- enrichr(input, dbs)
#> Uploading data to Enrichr... Done.
#> Querying GO_Molecular_Function_2023... Done.
#> Querying GO_Cellular_Component_2023... Done.
#> Querying GO_Biological_Process_2023... Done.
#> Parsing results... Done.Now view the "GO_Biological_Process_2023" results from enriched.
head(enriched[["GO_Biological_Process_2023"]])| Term | Overlap | P.value | Adjusted.P.value | Old.P.value | Old.Adjusted.P.value | Odds.Ratio | Combined.Score | Genes |
|---|---|---|---|---|---|---|---|---|
| Mitochondrial Transcription (GO:0006390) | 3/12 | 0.0012685 | 0.7123925 | 0 | 0 | 17.577061 | 117.23788 | TFAM;POLRMT;TFB1M |
| Alpha-Amino Acid Metabolic Process (GO:1901605) | 4/29 | 0.0019937 | 0.7123925 | 0 | 0 | 8.452830 | 52.55773 | SRR;ALDH6A1;KMO;GNMT |
| Protein Transmembrane Import Into Intracellular Organelle (GO:0044743) | 4/32 | 0.0028882 | 0.7123925 | 0 | 0 | 7.546015 | 44.12249 | DNAJC19;TIMM44;TRIM37;PEX1 |
| Neutrophil Degranulation (GO:0043312) | 2/5 | 0.0033774 | 0.7123925 | 0 | 0 | 35.070599 | 199.57464 | VAMP8;STXBP2 |
| Medium-Chain Fatty Acid Biosynthetic Process (GO:0051792) | 2/5 | 0.0033774 | 0.7123925 | 0 | 0 | 35.070599 | 199.57464 | ABHD3;OXSM |
| Mitochondrial RNA Metabolic Process (GO:0000959) | 3/20 | 0.0058819 | 0.7123925 | 0 | 0 | 9.301708 | 47.77237 | TFAM;POLRMT;TFB1M |
You can now try adding a background to enrichr.
# Load example background
data(background)
length(background)
#> [1] 20625
head(background)
#> [1] "A1BG" "A2M" "NAT1" "NAT2" "SERPINA3" "AADAC"
enriched2 <- enrichr(input, dbs, background = background)
#> Uploading data to Speedrichr...
#> - Your gene set... Done.
#> - Your background... Done.
#> Getting enrichment results...
#> - GO_Molecular_Function_2023... Done.
#> - GO_Cellular_Component_2023... Done.
#> - GO_Biological_Process_2023... Done.
#> Parsing results... Done.Now view the "GO_Biological_Process_2023" results from enriched2.
head(enriched2[["GO_Biological_Process_2023"]])| Term | Rank | P.value | Adjusted.P.value | Old.P.value | Old.Adjusted.P.value | Odds.Ratio | Combined.Score | Genes |
|---|---|---|---|---|---|---|---|---|
| Mitochondrial Transcription (GO:0006390) | 1 | 0.0003711 | 0.240515 | 0 | 0 | 27.116000 | 214.19193 | TFAM;POLRMT;TFB1M |
| Alpha-Amino Acid Metabolic Process (GO:1901605) | 2 | 0.0004145 | 0.240515 | 0 | 0 | 13.057671 | 101.69976 | SRR;ALDH6A1;KMO;GNMT |
| Protein Transmembrane Import Into Intracellular Organelle (GO:0044743) | 3 | 0.0006097 | 0.240515 | 0 | 0 | 11.656913 | 86.29136 | DNAJC19;TIMM44;TRIM37;PEX1 |
| Monocarboxylic Acid Biosynthetic Process (GO:0072330) | 4 | 0.0012176 | 0.240515 | 0 | 0 | 6.816532 | 45.74506 | ALDH1A3;SRR;SCP2;OXSM;MCAT |
| Neutrophil Degranulation (GO:0043312) | 5 | 0.0014663 | 0.240515 | 0 | 0 | 54.031872 | 352.55862 | VAMP8;STXBP2 |
| Medium-Chain Fatty Acid Biosynthetic Process (GO:0051792) | 6 | 0.0014663 | 0.240515 | 0 | 0 | 54.031872 | 352.55862 | ABHD3;OXSM |
By default, the results table from analysis with a background does not
have the ‘Overlap’ column. We can calculate the annotated genes in each
term from GMT files and replace the ‘Rank’ column with ‘Overlap’ by
setting include_overlap = TRUE.
enriched3 <- enrichr(input, dbs, background = background, include_overlap = TRUE)
#> Uploading data to Speedrichr...
#> - Your gene set... Done.
#> - Your background... Done.
#> Getting enrichment results...
#> - GO_Molecular_Function_2023... Done.
#> - Download GMT file... Done.
#> - GO_Cellular_Component_2023... Done.
#> - Download GMT file... Done.
#> - GO_Biological_Process_2023... Done.
#> - Download GMT file... Done.
#> Parsing results... Done.Now view the "GO_Biological_Process_2023" results from enriched3.
head(enriched3[["GO_Biological_Process_2023"]])| Term | Overlap | P.value | Adjusted.P.value | Old.P.value | Old.Adjusted.P.value | Odds.Ratio | Combined.Score | Genes |
|---|---|---|---|---|---|---|---|---|
| Mitochondrial Transcription (GO:0006390) | 3/12 | 0.0003711 | 0.240515 | 0 | 0 | 27.116000 | 214.19193 | TFAM;POLRMT;TFB1M |
| Alpha-Amino Acid Metabolic Process (GO:1901605) | 4/29 | 0.0004145 | 0.240515 | 0 | 0 | 13.057671 | 101.69976 | SRR;ALDH6A1;KMO;GNMT |
| Protein Transmembrane Import Into Intracellular Organelle (GO:0044743) | 4/32 | 0.0006097 | 0.240515 | 0 | 0 | 11.656913 | 86.29136 | DNAJC19;TIMM44;TRIM37;PEX1 |
| Monocarboxylic Acid Biosynthetic Process (GO:0072330) | 5/65 | 0.0012176 | 0.240515 | 0 | 0 | 6.816532 | 45.74506 | ALDH1A3;SRR;SCP2;OXSM;MCAT |
| Neutrophil Degranulation (GO:0043312) | 2/5 | 0.0014663 | 0.240515 | 0 | 0 | 54.031872 | 352.55862 | VAMP8;STXBP2 |
| Medium-Chain Fatty Acid Biosynthetic Process (GO:0051792) | 2/5 | 0.0014663 | 0.240515 | 0 | 0 | 54.031872 | 352.55862 | ABHD3;OXSM |
Plot Enrichr GO_Biological_Process_2023 output. (Plotting function
contributed by I-Hsuan Lin)
plotEnrich(enriched[["GO_Biological_Process_2023"]], showTerms = 20, numChar = 40,
y = "Count", orderBy = "P.value")
Export results to text files or Excel.
# To text files
printEnrich(enriched)
# To Excel
printEnrich(enriched, outFile = "excel")Save Enrichr results as text or Excel files. By default (i.e. outFile="txt"), the results from the
selected databases are saved into individual text files. When using outFile="excel", the results are
saved into worksheets in a single Excel 2007 (XLSX) file. (Print function contributed by I-Hsuan Lin
and Kai Hu)
printEnrich(enriched)If your computer is behind an HTTP or HTTPS proxy,
you can set the RCurl Proxy options explicitly using RCurlOptions and
enrichR will use the provided settings to connect to the Enrichr database via httr::use_proxy().
For example:
options(RCurlOptions = list(proxy = 'http://ip_or_url',
proxyusername = 'myuser',
proxypassword = 'mypwd',
proxyport = 'port_num',
proxyauth = 'basic'))Kuleshov, Maxim V., Matthew R. Jones, Andrew D. Rouillard, Nicolas F. Fernandez, Qiaonan Duan, Zichen Wang, Simon Koplev, et al. 2016. “Enrichr: A Comprehensive Gene Set Enrichment Analysis Web Server 2016 Update.” Nucleic Acids Res 44 (Web Server issue): W90–97.