How to tackle with LRG symbols from peak annotation by ChIPpeakAnno?
0
0
Entering edit mode
3 months ago
namck • 0

Hi,

I am using ChIPpeakAnno package to annotate the peaks with the gene name of their nearest TSS called by MACS2 from my ChIPseq data. The package annotates them perfectly, but I am getting a lots of LRG symbols in addition to Ensembl ID. Although, It's quite easy to convert the LRG symbols to their corresponding HGNC gene symbol from this browser (https://www.lrg-sequence.org/search/?), but I am looking for ways to avoid getting the LRG symbols.

Following is the R code I am using to annotate the chippeak narrowPeak file.

library(ChIPpeakAnno)
library(data.table)
library(TxDb.Hsapiens.UCSC.hg38.knownGene)
library(EnsDb.Hsapiens.v86)
library(dplyr)

gr1 <- toGRanges("HepG2-5FU_TP53_vs_Input_ChIPseq_peaks.narrowPeak", format = "narrowPeak", header = FALSE)

annotation<- toGRanges(EnsDb.Hsapiens.v86, feature = "gene")

annotated_chippeaks <- annotatePeakInBatch(gr1, annotation, featureType = "TSS")

output_file <- "annotated_peaks.tsv"

write.table(annotated_chippeaks, file = output_file, sep = "\t", quote = FALSE, row.names = FALSE)

I would be grateful if someone helps me to omit the LRG symbols from my result. Thank you

Note: Some of the peaks annotated with LRG symbols are also annotated with ensembl IDs. It's easy to remove the duplicated one. But most of them are only annotated with LRG_IDS. For a long list of genes, it takes quite a long time to annotate the LRG symbols manually.

sessionInfo() R version 4.3.1 (2023-06-16 ucrt) Platform: x86_64-w64-mingw32/x64 (64-bit) Running under: Windows 11 x64 (build 22631)

Matrix products: default

locale: [1] LC_COLLATE=English_United States.utf8 LC_CTYPE=English_United States.utf8
[3] LC_MONETARY=English_United States.utf8 LC_NUMERIC=C
[5] LC_TIME=English_United States.utf8

time zone: Europe/Kiev tzcode source: internal

attached base packages: [1] stats graphics grDevices utils datasets methods base

other attached packages: [1] devtools_2.4.5 usethis_2.2.2

loaded via a namespace (and not attached): [1] tidyselect_1.2.0 dplyr_1.1.3 blob_1.2.4
[4] filelock_1.0.2 Biostrings_2.68.1 bitops_1.0-7
[7] fastmap_1.1.1 RCurl_1.98-1.12 BiocFileCache_2.10.1
[10] promises_1.2.1 GenomicAlignments_1.36.0 XML_3.99-0.14
[13] digest_0.6.33 mime_0.12 lifecycle_1.0.4
[16] ellipsis_0.3.2 KEGGREST_1.42.0 RSQLite_2.3.1
[19] magrittr_2.0.3 compiler_4.3.1 rlang_1.1.1
[22] progress_1.2.3 tools_4.3.1 utf8_1.2.3
[25] yaml_2.3.7 rtracklayer_1.60.1 knitr_1.45
[28] htmlwidgets_1.6.4 prettyunits_1.2.0 S4Arrays_1.1.6
[31] pkgbuild_1.4.3 bit_4.0.5 curl_5.1.0
[34] DelayedArray_0.27.10 xml2_1.3.5 pkgload_1.3.3
[37] abind_1.4-5 BiocParallel_1.34.2 miniUI_0.1.1.1
[40] purrr_1.0.2 BiocGenerics_0.48.1 grid_4.3.1
[43] stats4_4.3.1 fansi_1.0.4 urlchecker_1.0.1
[46] profvis_0.3.8 xtable_1.8-4 biomaRt_2.58.0
[49] SummarizedExperiment_1.32.0 cli_3.6.1 crayon_1.5.2
[52] remotes_2.4.2.1 generics_0.1.3 rstudioapi_0.15.0
[55] httr_1.4.7 rjson_0.2.21 sessioninfo_1.2.2
[58] DBI_1.2.1 cachem_1.0.8 stringr_1.5.1
[61] zlibbioc_1.46.0 parallel_4.3.1 AnnotationDbi_1.64.1
[64] BiocManager_1.30.22 XVector_0.40.0 restfulr_0.0.15
[67] matrixStats_1.0.0 vctrs_0.6.3 Matrix_1.6-1.1
[70] IRanges_2.34.1 hms_1.1.3 S4Vectors_0.38.1
[73] bit64_4.0.5 GenomicFeatures_1.54.1 glue_1.6.2
[76] codetools_0.2-19 stringi_1.7.12 later_1.3.2
[79] GenomeInfoDb_1.38.5 BiocIO_1.12.0 GenomicRanges_1.52.0
[82] tibble_3.2.1 pillar_1.9.0 rappdirs_0.3.3
[85] htmltools_0.5.7 GenomeInfoDbData_1.2.11 R6_2.5.1
[88] dbplyr_2.4.0 evaluate_0.23 shiny_1.8.0
[91] Biobase_2.60.0 lattice_0.21-9 highr_0.10
[94] png_0.1-8 Rsamtools_2.16.0 memoise_2.0.1
[97] httpuv_1.6.13 Rcpp_1.0.12 SparseArray_1.1.12
[100] xfun_0.41 MatrixGenerics_1.14.0 fs_1.6.3
[103] pkgconfig_2.0.3

ChIPpeakAnno Bioconductor ChIP-seq • 178 views
ADD COMMENT

Login before adding your answer.

Traffic: 2479 users visited in the last hour
Help About
FAQ
Access RSS
API
Stats

Use of this site constitutes acceptance of our User Agreement and Privacy Policy.

Powered by the version 2.3.6