Hi all, FYI, I was testing the workflow with ATACSEQ data, I got the following error in

NFCORE_DIFFERENTIALABUNDANCE:DIFFERENTIALABUNDANCE:QUARTONOTEBOOK

(...)
   12.               │ └─base::withCallingHandlers(...)
   13.               ├─purrr:::call_with_cleanup(...)
   14.               └─.f(.x[[i]], ...)
   15.                 └─global generate_boxplots(combined, label_col)
   16.                   └─purrr::walk(...)
   17.                     └─purrr::map(.x, .f, ..., .progress = .progress)
   18.                       └─purrr:::map_("list", .x, .f, ..., .progress = .progress)
   19.                         ├─purrr:::with_indexed_errors(...)
   20.                         │ └─base::withCallingHandlers(...)
   21.                         ├─purrr:::call_with_cleanup(...)
   22.                         └─.f(.x[[i]], ...)
   23.                           ├─plotly::layout(...)
   24.                           ├─plotly::ggplotly(p_box, tooltip = c("x", "y", "color", "text"))
   25.                           └─plotly:::ggplotly.ggplot(...)
   26.                             └─plotly::gg2list(...)
   27.                               └─plotly (local) ggplotly_build(p)
   28.                                 └─base::lapply(data, scales_map_df, scales = npscales)
   29.                                   └─plotly (local) FUN(X[[i]], ...)
   30.                                     └─scales$map_df(df)
   31.                                       └─ggplot2 (local) map_df(..., self = self)
   32.                                         ├─base::unlist(...)
   33.                                         └─base::lapply(self$scales, function(scale) scale$map_df(df = df))
   34.                                           └─ggplot2 (local) FUN(X[[i]], ...)
   35.                                             └─scale$map_df(df = df)
   36.                                               └─ggplot2 (local) map_df(..., self = self)
   37.                                                 └─base::lapply(aesthetics, function(j) self$map(df[[j]]))
   38.                                                   └─ggplot2 (local) FUN(X[[i]], ...)
   39.                                                     └─self$map(df[[j]])
   40.                                                       └─ggplot2 (local) map(..., self = self)
   41.                                                         └─self$palette(n)
   42.                                                           └─ggplot2 (local) palette(...)
   43.                                                             └─ggplot2 (local) palette(...)
   44.                                                               └─ggplot2 (local) palette(...)
   45.                                                                 └─cli::cli_abort("Insufficient values in manual scale. {n} needed but only {length(values)} provided.")
   46.                                                                   └─rlang::abort(...)

nf-core/differentialabundance 2.0.0. my input was:

/nextflow run  nf-core/differentialabundance  \
                -c nfcore.cfg \
        -profile apptainer \
        -resume \
        --outdir "results" \
        --input "samplesheet.csv \
        --contrasts contrasts.csv \
        --matrix  featureCount.tsv \
        --features_metadata_cols "gene_id,gene_name" \
        --features_id_col gene_id \
        --features_name_col "gene_name"

Pierre