Error while performing DEXseq
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vipul14 • 0
@5032501f
Last seen 8 days ago
United States

I am getting this and I can't able to get the summarized overlaps

Import genomic features from the file as a GRanges object ... OK Prepare the 'metadata' data frame ... OK Make the TxDb object ... OK Warning messages: 1: In .get_cds_IDX(mcols0$type, mcols0$phase) : The "phase" metadata column contains non-NA values for features of type stop_codon. This information was ignored. 2: In .find_exon_cds(exons, cds) : The following transcripts have exons that contain more than one CDS (only the first CDS was kept for each exon): NM_001134939.1, NM_001172437.2, NM_001184961.1, NM_001301020.1, NM_001301302.1, NM_001301371.1, NM_002537.3, NM_004152.3, NM_015068.3, NM_016178.2 3: In .reject_transcripts(bad_tx, because) : The following transcripts were dropped because they have incompatible CDS and stop codons: NM_001172437.2, NM_001184961.1, NM_015068.3

sessionInfo() R version 4.3.0 (2023-04-21) Platform: x86_64-suse-linux-gnu (64-bit) Running under: openSUSE Leap 15.4

Matrix products: default BLAS: /usr/lib64/R/lib/libRblas.so LAPACK: /usr/lib64/R/lib/libRlapack.so; LAPACK version 3.11.0

locale: [1] LC_CTYPE=en_US.UTF-8 LC_NUMERIC=C LC_TIME=en_US.UTF-8 LC_COLLATE=en_US.UTF-8 LC_MONETARY=en_US.UTF-8 LC_MESSAGES=en_US.UTF-8 LC_PAPER=en_US.UTF-8
[8] LC_NAME=C LC_ADDRESS=C LC_TELEPHONE=C LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C

time zone: America/Denver tzcode source: system (glibc)

attached base packages: [1] stats4 stats graphics grDevices utils datasets methods base

other attached packages: [1] DEXSeq_1.46.0 RColorBrewer_1.1-3 DESeq2_1.40.1 BiocParallel_1.34.2 GenomicFeatures_1.52.0 AnnotationDbi_1.62.1 GenomicAlignments_1.36.0
[8] Rsamtools_2.16.0 Biostrings_2.68.1 XVector_0.40.0 SummarizedExperiment_1.30.1 Biobase_2.60.0 MatrixGenerics_1.12.0 matrixStats_0.63.0
[15] GenomicRanges_1.52.0 GenomeInfoDb_1.36.0 IRanges_2.34.0 S4Vectors_0.38.1 BiocGenerics_0.46.0

loaded via a namespace (and not attached): [1] tidyselect_1.2.0 dplyr_1.1.2 blob_1.2.4 filelock_1.0.2 bitops_1.0-7 fastmap_1.1.1 RCurl_1.98-1.12 BiocFileCache_2.8.0
[9] XML_3.99-0.14 digest_0.6.31 lifecycle_1.0.3 statmod_1.5.0 survival_3.5-5 KEGGREST_1.40.0 RSQLite_2.3.1 magrittr_2.0.3
[17] genefilter_1.82.1 compiler_4.3.0 rlang_1.1.1 progress_1.2.2 tools_4.3.0 utf8_1.2.3 yaml_2.3.7 rtracklayer_1.60.0
[25] prettyunits_1.1.1 S4Arrays_1.0.4 bit_4.0.5 curl_5.0.0 DelayedArray_0.26.3 xml2_1.3.4 hwriter_1.3.2.1 grid_4.3.0
[33] fansi_1.0.4 xtable_1.8-4 colorspace_2.1-0 ggplot2_3.4.2 scales_1.2.1 biomaRt_2.56.0 cli_3.6.1 crayon_1.5.2
[41] generics_0.1.3 httr_1.4.6 rjson_0.2.21 DBI_1.1.3 cachem_1.0.8 stringr_1.5.0 splines_4.3.0 zlibbioc_1.46.0
[49] parallel_4.3.0 restfulr_0.0.15 vctrs_0.6.2 Matrix_1.5-4 geneplotter_1.78.0 hms_1.1.3 bit64_4.0.5 locfit_1.5-9.7
[57] annotate_1.78.0 glue_1.6.2 codetools_0.2-19 stringi_1.7.12 gtable_0.3.3 BiocIO_1.10.0 munsell_0.5.0 tibble_3.2.1
[65] pillar_1.9.0 rappdirs_0.3.3 GenomeInfoDbData_1.2.10 R6_2.5.1 dbplyr_2.3.2 lattice_0.21-8 png_0.1-8 memoise_2.0.1
[73] Rcpp_1.0.10 pkgconfig_2.0.3

DEXSeq • 359 views
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