clusterProfiler
clusterProfiler copied to clipboard
"No gene can be mapped" even with your own example
--> No gene can be mapped....
Hi,
I have tried to look for solutions for this in SO, biostars, bioconductor, your html manual, the PDF vignette, and your GitHub issues... nothing has worked, so here I am.
I want to use gseKEGG
and enrichKEGG
with Drosophila melanogaster differentially expressed genes, but I keep getting the error.
Probably the best minimal reproducible examples are from your online book/manual:
library(clusterProfiler)
geneList, package="DOSE")
gene <- names(geneList)[abs(geneList) > 2]
kk <- enrichKEGG(gene = gene,
organism = 'hsa',
pvalueCutoff = 0.05)
head(kk)
Reading KEGG annotation online: Reading KEGG annotation online: --> No gene can be mapped.... --> Expected input gene ID: --> return NULL...
kk2 <- gseKEGG(geneList = geneList,
organism = 'hsa',
minGSSize = 120,
pvalueCutoff = 0.05,
verbose = FALSE)
head(kk2)
Reading KEGG annotation online: Reading KEGG annotation online: --> No gene can be mapped.... --> Expected input gene ID: --> return NULL...
Things I have tried
(minimal example with Drosophila_genes)
# dummy data
df <- data.frame(gene_symbol = c("nAChRalpha2", "Act42A", "Ama", "ase", "asp", "Col4a1"),
ensemblGeneID = c("FBgn0000039", "FBgn0000043", "FBgn0000071", "FBgn0000137", "FBgn0000140", "FBgn0000299"),
log2FoldChange = c(-2.235647, -1.672559, -2.975020, -3.340225, -1.915317, -4.276045))
# to get the ncbi-geneid keys for each gene
ensembl <- useEnsembl(biomart = "ENSEMBL_MART_ENSEMBL",
dataset="dmelanogaster_gene_ensembl",
host = "https://oct2022.archive.ensembl.org")
attributes <- listAttributes(ensembl)
ezlist <- getBM(attributes=c('entrezgene_id', 'ensembl_gene_id', 'external_gene_name'), mart = ensembl)
# get the NCBI gene IDs for the fly genes
df$`ncbi-geneid` <- ezlist %>%
filter(ensembl_gene_id %in% df$ensemblGeneID) %>%
dplyr::select(entrezgene_id) %>% unlist()
# try clusterProfiler KEGG tools
## (I have tried without as.character or as.list too)
kg <- enrichKEGG(gene = as.list(as.character(df$`ncbi-geneid`)),
organism = 'dme',
pvalueCutoff = 0.05)
--> No gene can be mapped.... --> Expected input gene ID: --> return NULL...
(note that this time it does no display "Reading KEGG annotation online:" ¯_(ツ)_/¯ )
I have checked directly that the annotations for my genes actually exist in the KEGG database:
# download the Drosophila KEGG keys versus NCBI gene IDs:
## (I got here inspecting your R code)
kegconv <- read.csv('https://rest.kegg.jp/conv/ncbi-geneid/dme/', sep = '\t', header = FALSE)
kegconv <- kegconv %>%
dplyr::rename(dme = V1, geneid = V2) %>%
mutate(dme = str_replace(dme, "dme:", ""),
geneid = str_replace(geneid, "ncbi-geneid:", ""))
# get the KEGG keys for my genes:
df$`kegg` <- kegconv %>%
filter(geneid %in% df$`ncbi-geneid`) %>%
dplyr::select(dme) %>% unlist()
# try clusterProfiler KEGG tools:
## (I have tried without as.list too)
kg2 <- enrichKEGG(gene = as.list(df$kegg),
organism = 'dme',
pvalueCutoff = 0.05)
All with with the same non-result. I am at my wits' end and I am no longer sure whether this is a problem with my code or an issue with yours or the KEGG API - that is why I am raising it here (as not even your example code in a clean session works for me).
I hope this is a real problem and not a silly mistake on my part, but I would be very grateful if you could suggest anything to make it work.
I've got same problem.
Could this have to do with the recent (minor) change in the KEGG API ? https://www.kegg.jp/kegg/rest/
I have also tried to do GSEA of KEGG pathways using other packages (gage) and I also run into trouble.
Could this have to do with the recent (minor) change in the KEGG API ? https://www.kegg.jp/kegg/rest/
I have also tried to do GSEA of KEGG pathways using other packages (gage) and I also run into trouble.
There is no changed any API syntax documents of KEGG. I fixed with updating clusterProfiler to 4.7 from 4.6. Hope this will help.
This is my session info.
R version 4.2.2 (2022-10-31)
Platform: x86_64-conda-linux-gnu (64-bit)
Running under: Ubuntu 22.04.2 LTS
Matrix products: default
BLAS/LAPACK: /home/fkt/mambaforge/envs/scRNA/lib/libopenblasp-r0.3.21.so
locale:
[1] LC_CTYPE=en_US.UTF-8 LC_NUMERIC=C
[3] LC_TIME=ko_KR.UTF-8 LC_COLLATE=en_US.UTF-8
[5] LC_MONETARY=ko_KR.UTF-8 LC_MESSAGES=en_US.UTF-8
[7] LC_PAPER=ko_KR.UTF-8 LC_NAME=C
[9] LC_ADDRESS=C LC_TELEPHONE=C
[11] LC_MEASUREMENT=ko_KR.UTF-8 LC_IDENTIFICATION=C
attached base packages:
[1] stats4 stats graphics grDevices utils datasets methods
[8] base
other attached packages:
[1] clusterProfiler_4.7.1.003 EnhancedVolcano_1.16.0
[3] ggrepel_0.9.3 ggpubr_0.6.0
[5] enrichplot_1.18.4 msigdbr_7.5.1
[7] org.Mm.eg.db_3.16.0 AnnotationDbi_1.60.2
[9] IRanges_2.32.0 S4Vectors_0.36.2
[11] Biobase_2.58.0 BiocGenerics_0.44.0
[13] future_1.31.0 forcats_1.0.0
[15] stringr_1.5.0 dplyr_1.1.2
[17] purrr_1.0.1 readr_2.1.4
[19] tidyr_1.3.0 tibble_3.2.1
[21] ggplot2_3.4.2 tidyverse_1.3.2
[23] SeuratObject_4.1.3 Seurat_4.3.0
Please use the latest version of clusterProfiler.
Please use the latest version of clusterProfiler.
Hi, I also faced this problem. This version is "4.9.0".
ek <- enrichKEGG(gene = eg$ENTREZID, organism = "hsa", #人 pvalueCutoff =1, qvalueCutoff = 1, keyType = "ncbi-geneid") --> No gene can be mapped.... --> Expected input gene ID: --> return NULL...
I solved my problem. https://github.com/YuLab-SMU/clusterProfiler/issues/561#issuecomment-1467266614
Please use the latest version of clusterProfiler.
Hi, I've got same problem. And I use the latest version of clusterProfiler and I've tried this method(https://github.com/YuLab-SMU/clusterProfiler/issues/561#issuecomment-1467266614), but still show "No gene can be mapped". Hope you can help me to figure it out, thanks!
And this is my session info. ─ Session info ──────────────────────────────────────────────────────────────────── setting value version R version 4.3.0 (2023-04-21 ucrt) os Windows 10 x64 (build 19044) system x86_64, mingw32 ui RStudio language (EN) collate Chinese (Simplified)_China.utf8 ctype Chinese (Simplified)_China.utf8 tz Asia/Shanghai date 2023-06-09 rstudio 2023.03.1+446 Cherry Blossom (desktop) pandoc NA
─ Packages ──────────────────────────────────────────────────────────────────────── package * version date (UTC) lib source AnnotationDbi * 1.62.1 2023-05-02 [1] Bioconductor ape 5.7-1 2023-03-13 [1] CRAN (R 4.3.0) aplot 0.1.10 2023-03-08 [1] CRAN (R 4.3.0) Biobase * 2.60.0 2023-04-25 [1] Bioconductor BiocGenerics * 0.46.0 2023-04-25 [1] Bioconductor BiocManager 1.30.20 2023-02-24 [1] CRAN (R 4.3.0) BiocParallel 1.34.1 2023-05-05 [1] Bioconductor Biostrings 2.68.1 2023-05-16 [1] Bioconductor bit 4.0.5 2022-11-15 [1] CRAN (R 4.3.0) bit64 4.0.5 2020-08-30 [1] CRAN (R 4.3.0) bitops 1.0-7 2021-04-24 [1] CRAN (R 4.3.0) blob 1.2.4 2023-03-17 [1] CRAN (R 4.3.0) cachem 1.0.8 2023-05-01 [1] CRAN (R 4.3.0) callr 3.7.3 2022-11-02 [1] CRAN (R 4.3.0) cli 3.6.1 2023-03-23 [1] CRAN (R 4.3.0) clusterProfiler * 4.9.0.002 2023-05-22 [1] Github (https://github.com/YuLab-SMU/clusterProfiler/commit/abbaf1e) codetools 0.2-19 2023-02-01 [2] CRAN (R 4.3.0) colorspace 2.1-0 2023-01-23 [1] CRAN (R 4.3.0) cowplot 1.1.1 2020-12-30 [1] CRAN (R 4.3.0) crayon 1.5.2 2022-09-29 [1] CRAN (R 4.3.0) createKEGGdb * 0.0.3 2023-05-22 [1] Github (https://github.com/YuLab-SMU/createKEGGdb/commit/c7f6308) curl 5.0.0 2023-01-12 [1] CRAN (R 4.3.0) data.table 1.14.8 2023-02-17 [1] CRAN (R 4.3.0) DBI 1.1.3 2022-06-18 [1] CRAN (R 4.3.0) DelayedArray 0.26.3 2023-05-22 [1] Bioconductor DESeq2 1.40.1 2023-05-02 [1] Bioconductor devtools 2.4.5 2022-10-11 [1] CRAN (R 4.3.0) digest 0.6.31 2022-12-11 [1] CRAN (R 4.3.0) DOSE * 3.26.1 2023-05-03 [1] Bioconductor downloader 0.4 2015-07-09 [1] CRAN (R 4.3.0) dplyr 1.1.2 2023-04-20 [1] CRAN (R 4.3.0) ellipsis 0.3.2 2021-04-29 [1] CRAN (R 4.3.0) enrichplot 1.20.0 2023-04-25 [1] Bioconductor fansi 1.0.4 2023-01-22 [1] CRAN (R 4.3.0) farver 2.1.1 2022-07-06 [1] CRAN (R 4.3.0) fastmap 1.1.1 2023-02-24 [1] CRAN (R 4.3.0) fastmatch 1.1-3 2021-07-23 [1] CRAN (R 4.3.0) fgsea 1.26.0 2023-04-25 [1] Bioconductor fs 1.6.2 2023-04-25 [1] CRAN (R 4.3.0) generics 0.1.3 2022-07-05 [1] CRAN (R 4.3.0) GenomeInfoDb 1.36.0 2023-04-25 [1] Bioconductor GenomeInfoDbData 1.2.10 2023-05-22 [1] Bioconductor GenomicRanges 1.52.0 2023-04-25 [1] Bioconductor ggforce 0.4.1 2022-10-04 [1] CRAN (R 4.3.0) ggfun 0.0.9 2022-11-21 [1] CRAN (R 4.3.0) ggplot2 3.4.2 2023-04-03 [1] CRAN (R 4.3.0) ggplotify 0.1.0 2021-09-02 [1] CRAN (R 4.3.0) ggraph 2.1.0 2022-10-09 [1] CRAN (R 4.3.0) ggrepel 0.9.3 2023-02-03 [1] CRAN (R 4.3.0) ggtree 3.8.0 2023-04-25 [1] Bioconductor glue 1.6.2 2022-02-24 [1] CRAN (R 4.3.0) GO.db 3.17.0 2023-05-22 [1] Bioconductor GOSemSim 2.26.0 2023-04-25 [1] Bioconductor graphlayouts 1.0.0 2023-05-01 [1] CRAN (R 4.3.0) gridExtra 2.3 2017-09-09 [1] CRAN (R 4.3.0) gridGraphics 0.5-1 2020-12-13 [1] CRAN (R 4.3.0) gson 0.1.0 2023-03-07 [1] CRAN (R 4.3.0) gtable 0.3.3 2023-03-21 [1] CRAN (R 4.3.0) HDO.db 0.99.1 2023-05-22 [1] Bioconductor htmltools 0.5.5 2023-03-23 [1] CRAN (R 4.3.0) htmlwidgets 1.6.2 2023-03-17 [1] CRAN (R 4.3.0) httpuv 1.6.11 2023-05-11 [1] CRAN (R 4.3.0) httr 1.4.6 2023-05-08 [1] CRAN (R 4.3.0) igraph 1.4.2 2023-04-07 [1] CRAN (R 4.3.0) IRanges * 2.34.0 2023-04-25 [1] Bioconductor jsonlite 1.8.4 2022-12-06 [1] CRAN (R 4.3.0) KEGG.db * 1.0 2023-05-22 [1] Bioconductor KEGGREST * 1.40.0 2023-04-25 [1] Bioconductor later 1.3.1 2023-05-02 [1] CRAN (R 4.3.0) lattice 0.21-8 2023-04-05 [2] CRAN (R 4.3.0) lazyeval 0.2.2 2019-03-15 [1] CRAN (R 4.3.0) lifecycle 1.0.3 2022-10-07 [1] CRAN (R 4.3.0) locfit 1.5-9.7 2023-01-02 [1] CRAN (R 4.3.0) magrittr 2.0.3 2022-03-30 [1] CRAN (R 4.3.0) MASS 7.3-58.4 2023-03-07 [2] CRAN (R 4.3.0) Matrix 1.5-4 2023-04-04 [2] CRAN (R 4.3.0) MatrixGenerics 1.12.0 2023-04-25 [1] Bioconductor matrixStats 0.63.0 2022-11-18 [1] CRAN (R 4.3.0) memoise 2.0.1 2021-11-26 [1] CRAN (R 4.3.0) mime 0.12 2021-09-28 [1] CRAN (R 4.3.0) miniUI 0.1.1.1 2018-05-18 [1] CRAN (R 4.3.0) munsell 0.5.0 2018-06-12 [1] CRAN (R 4.3.0) nlme 3.1-162 2023-01-31 [2] CRAN (R 4.3.0) org.Dm.eg.db * 3.17.0 2023-05-22 [1] Bioconductor patchwork 1.1.2 2022-08-19 [1] CRAN (R 4.3.0) pillar 1.9.0 2023-03-22 [1] CRAN (R 4.3.0) pkgbuild 1.4.0 2022-11-27 [1] CRAN (R 4.3.0) pkgconfig 2.0.3 2019-09-22 [1] CRAN (R 4.3.0) pkgload 1.3.2 2022-11-16 [1] CRAN (R 4.3.0) plyr 1.8.8 2022-11-11 [1] CRAN (R 4.3.0) png 0.1-8 2022-11-29 [1] CRAN (R 4.3.0) polyclip 1.10-4 2022-10-20 [1] CRAN (R 4.3.0) prettyunits 1.1.1 2020-01-24 [1] CRAN (R 4.3.0) processx 3.8.1 2023-04-18 [1] CRAN (R 4.3.0) profvis 0.3.8 2023-05-02 [1] CRAN (R 4.3.0) promises 1.2.0.1 2021-02-11 [1] CRAN (R 4.3.0) ps 1.7.5 2023-04-18 [1] CRAN (R 4.3.0) purrr 1.0.1 2023-01-10 [1] CRAN (R 4.3.0) qvalue 2.32.0 2023-04-25 [1] Bioconductor R6 2.5.1 2021-08-19 [1] CRAN (R 4.3.0) RColorBrewer 1.1-3 2022-04-03 [1] CRAN (R 4.3.0) Rcpp 1.0.10 2023-01-22 [1] CRAN (R 4.3.0) RCurl 1.98-1.12 2023-03-27 [1] CRAN (R 4.3.0) remotes 2.4.2 2021-11-30 [1] CRAN (R 4.3.0) reshape2 1.4.4 2020-04-09 [1] CRAN (R 4.3.0) rlang 1.1.1 2023-04-28 [1] CRAN (R 4.3.0) RSQLite 2.3.1 2023-04-03 [1] CRAN (R 4.3.0) rstudioapi 0.14 2022-08-22 [1] CRAN (R 4.3.0) S4Arrays 1.0.4 2023-05-14 [1] Bioconductor S4Vectors * 0.38.1 2023-05-02 [1] Bioconductor scales 1.2.1 2022-08-20 [1] CRAN (R 4.3.0) scatterpie 0.1.9 2023-04-22 [1] CRAN (R 4.3.0) sessioninfo 1.2.2 2021-12-06 [1] CRAN (R 4.3.0) shadowtext 0.1.2 2022-04-22 [1] CRAN (R 4.3.0) shiny 1.7.4 2022-12-15 [1] CRAN (R 4.3.0) stringi 1.7.12 2023-01-11 [1] CRAN (R 4.3.0) stringr 1.5.0 2022-12-02 [1] CRAN (R 4.3.0) SummarizedExperiment 1.30.1 2023-05-01 [1] Bioconductor tibble 3.2.1 2023-03-20 [1] CRAN (R 4.3.0) tidygraph 1.2.3 2023-02-01 [1] CRAN (R 4.3.0) tidyr 1.3.0 2023-01-24 [1] CRAN (R 4.3.0) tidyselect 1.2.0 2022-10-10 [1] CRAN (R 4.3.0) tidytree 0.4.2 2022-12-18 [1] CRAN (R 4.3.0) treeio 1.24.0 2023-04-25 [1] Bioconductor tweenr 2.0.2 2022-09-06 [1] CRAN (R 4.3.0) urlchecker 1.0.1 2021-11-30 [1] CRAN (R 4.3.0) usethis 2.1.6 2022-05-25 [1] CRAN (R 4.3.0) utf8 1.2.3 2023-01-31 [1] CRAN (R 4.3.0) vctrs 0.6.2 2023-04-19 [1] CRAN (R 4.3.0) viridis 0.6.3 2023-05-03 [1] CRAN (R 4.3.0) viridisLite 0.4.2 2023-05-02 [1] CRAN (R 4.3.0) withr 2.5.0 2022-03-03 [1] CRAN (R 4.3.0) xtable 1.8-4 2019-04-21 [1] CRAN (R 4.3.0) XVector 0.40.0 2023-04-25 [1] Bioconductor yulab.utils 0.0.6 2022-12-20 [1] CRAN (R 4.3.0) zlibbioc 1.46.0 2023-04-25 [1] Bioconductor
[1] C:/Users/61726/AppData/Local/R/win-library/4.3 [2] C:/Program Files/R/R-4.3.0/library
Hello,
I am having the same issue as the people above. Is there any timeline available for when will it be fixed, please?
Thank you
软件是好软件,安装是真难安装,富集也是出各种问题,为了装这个一个软件,重新安装R版本,将所有包重新装,结果还是不行。
难道真的不知道这个问题一直存在吗,难道只会微信宣传自己的人设,努力卖书?
好几年了,一直没有明确的解决方案,有问题不解决,无话可说。
祝好!
我个人觉得要想使用好一个软件,善于使用搜索引擎是个必备的技能。尤其是已经被作者明确回答的问题。