Hello:
I run the example codes in the README:
checking main install
✔ /home/dan/meme/bin
checking util installs
✔ /home/dan/meme/bin/dreme
✔ /home/dan/meme/bin/ame
✔ /home/dan/meme/bin/fimo
✔ /home/dan/meme/bin/tomtom
✔ /home/dan/meme/bin/meme
✔ /home/dan/meme/bin/streme
DNAStringSet object of length 10:
width seq names
[1] 200 AGAATGTTATATATTCAAGAGGC...TTAGGTTTCTAGAATAGCCCCG chr3L:14551120-14...
[2] 200 TGGGCCCATTTTTATCATTTTCC...CCCCCTCACATTTTAATTGTTG chr3L:14625651-14...
[3] 200 GGGCATACAGTAGAGCATCGTTG...ACAGGCTCTTTACCTAGTGCAA chr3L:14634365-14...
[4] 200 TCACTCACTGAAAAAAAAACATA...GTACGGTTGCTCCACTTCGATG chr3L:14636806-14...
[5] 200 ATTTTGCCTGTGTGGTCTCACCT...TTTTCGGGAGTGCAGCCAAAGA chr3L:14638235-14...
[6] 200 CTGAGTGTATATATGTATATATT...CTCTATCCCCAATATCTTCTTT chr3L:14743361-14...
[7] 200 TTATATAGCATTGCTCAGAAAAC...TTTGCCGTAGGAGCAAGGGAGA chr3L:14755203-14...
[8] 200 TCCAATCGGCGTTAAAGCAGTGA...GGTAGGAATAGAATTACTATGT chr3L:14759244-14...
[9] 200 CATCTCTAGGGTCCGGGTCCGGT...ACAGGCACTTACTCACCAGTGT chr3L:14978542-14...
[10] 200 GCACATTCACACATTGTGTACGT...CTGGCGTTTTTTGCGTTTCAGT chr3L:15104843-15...
# here I set the evalue_report_threshold = 30 to detect motifs in the limited example sequences
# In a real analysis, evalue_report_threshold should be carefully selected
ame_results <- runAme(sequences, control = "shuffle", evalue_report_threshold = 30)
ame_results
Added /home/dan/meme-5.5.5/Databases/motif_databases/FLY/OnTheFly_2014_Drosophila.meme to motif_sources which now has 1 file names.
Motif file name is /home/dan/meme-5.5.5/Databases/motif_databases/FLY/OnTheFly_2014_Drosophila.meme.
Writing results to output directory '/tmp/RtmpfGjF2s/file5e657f9a0350_vs_shuffle'.
E-value threshold for reporting results: 30
Checking alphabets in 1 motif files.
Loading motifs from file '/home/dan/meme-5.5.5/Databases/motif_databases/FLY/OnTheFly_2014_Drosophila.meme'
Loading primary sequences.
Creating control sequences by shuffling input sequences preserving 2-mers.
Not in partition maximization mode. Fixing partition at the number of primary sequences (10).
Bad file name.
Bad file name.
Bad file name.
Bad file name.
Bad file name.
Bad file name.
Bad file name.
Bad file name.
Bad file name.
Bad file name.
Bad file name.
Bad file name.
FATAL: Template does not contain data section.
Error: Shell process had non-zero exit status.
Traceback:
1. runAme(sequences, control = "shuffle", evalue_report_threshold = 30)
2. runAme.default(sequences, control = "shuffle", evalue_report_threshold = 30)
3. ps_out %>% process_check_error(help_fun = ~{
. ame_help(command)
. }, user_flags = cmdfun::cmd_help_parse_flags(user_flags) %>%
. grep("shuffle", ., invert = TRUE, value = TRUE), flags_fun = ~{
. gsub("-", "_", .x)
. }, default_help_fun = TRUE)
4. process_check_error(., help_fun = ~{
. ame_help(command)
. }, user_flags = cmdfun::cmd_help_parse_flags(user_flags) %>%
. grep("shuffle", ., invert = TRUE, value = TRUE), flags_fun = ~{
. gsub("-", "_", .x)
. }, default_help_fun = TRUE)
5. usethis::ui_stop("Shell process had non-zero exit status.")
R version 4.3.0 (2023-04-21)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: Ubuntu 20.04.1 LTS
Matrix products: default
BLAS: /usr/lib/x86_64-linux-gnu/openblas-pthread/libblas.so.3
LAPACK: /usr/lib/x86_64-linux-gnu/openblas-pthread/liblapack.so.3; LAPACK version 3.9.0
locale:
[1] LC_CTYPE=C.UTF-8 LC_NUMERIC=C LC_TIME=C.UTF-8
[4] LC_COLLATE=C.UTF-8 LC_MONETARY=C.UTF-8 LC_MESSAGES=C.UTF-8
[7] LC_PAPER=C.UTF-8 LC_NAME=C LC_ADDRESS=C
[10] LC_TELEPHONE=C LC_MEASUREMENT=C.UTF-8 LC_IDENTIFICATION=C
time zone: America/New_York
tzcode source: system (glibc)
attached base packages:
[1] stats4 stats graphics grDevices utils datasets methods
[8] base
other attached packages:
[1] universalmotif_1.18.1 BSgenome.Dmelanogaster.UCSC.dm6_1.4.1
[3] BSgenome_1.68.0 rtracklayer_1.60.1
[5] Biostrings_2.68.1 XVector_0.40.0
[7] GenomicRanges_1.52.1 GenomeInfoDb_1.36.4
[9] IRanges_2.34.1 S4Vectors_0.38.2
[11] BiocGenerics_0.46.0 magrittr_2.0.3
[13] memes_1.8.0
loaded via a namespace (and not attached):
[1] tidyselect_1.2.0 IRdisplay_1.1
[3] farver_2.1.1 dplyr_1.1.3
[5] R.utils_2.12.2 bitops_1.0-7
[7] fastmap_1.1.1 RCurl_1.98-1.12
[9] GenomicAlignments_1.36.0 XML_3.99-0.8
[11] digest_0.6.33 lifecycle_1.0.4
[13] Cairo_1.6-1 processx_3.8.2
[15] compiler_4.3.0 rlang_1.1.2
[17] tools_4.3.0 utf8_1.2.4
[19] yaml_2.3.7 data.table_1.14.8
[21] labeling_0.4.3 S4Arrays_1.0.6
[23] bit_4.0.5 splitstackshape_1.4.8
[25] DelayedArray_0.26.7 xml2_1.3.2
[27] repr_1.1.6 pkgload_1.3.3
[29] abind_1.4-5 BiocParallel_1.34.2
[31] pbdZMQ_0.3-10 withr_2.5.1
[33] purrr_1.0.2 desc_1.4.2
[35] R.oo_1.25.0 grid_4.3.0
[37] fansi_1.0.5 MotifDb_1.42.0
[39] colorspace_2.1-0 ggplot2_3.4.4
[41] MASS_7.3-60 scales_1.2.1
[43] SummarizedExperiment_1.30.2 cli_3.6.1
[45] cmdfun_1.0.2 crayon_1.5.2
[47] generics_0.1.3 tzdb_0.4.0
[49] rjson_0.2.21 ggseqlogo_0.1
[51] zlibbioc_1.46.0 parallel_4.3.0
[53] restfulr_0.0.15 matrixStats_1.0.0
[55] base64enc_0.1-3 vctrs_0.6.5
[57] Matrix_1.6-1.1 jsonlite_1.8.7
[59] patchwork_1.1.3 hms_1.1.3
[61] bit64_4.0.5 testthat_3.2.0
[63] tidyr_1.3.0 glue_1.6.2
[65] codetools_0.2-19 ps_1.7.5
[67] gtable_0.3.4 BiocIO_1.10.0
[69] munsell_0.5.0 tibble_3.2.1
[71] pillar_1.9.0 htmltools_0.5.7
[73] brio_1.1.3 IRkernel_1.3.2.9000
[75] GenomeInfoDbData_1.2.10 R6_2.5.1
[77] rprojroot_2.0.3 vroom_1.6.4
[79] evaluate_0.23 Biobase_2.60.0
[81] lattice_0.21-9 readr_2.1.4
[83] R.methodsS3_1.8.2 Rsamtools_2.16.0
[85] Rcpp_1.0.11 uuid_1.1-1
[87] fs_1.6.3 MatrixGenerics_1.12.3
[89] usethis_2.2.2 pkgconfig_2.0.3
How should I fix this? Thanks
Hello:
I run the example codes in the
README:sequencesHow should I fix this? Thanks