Downloading: s3://natera-rnd-pltf-dev-nextflow-scratch-01/work/9a/0525aed429e2f15c0a957e9edcbc3d/custom_Sig_18_tumor_normal.purity_ploidy.csv
Downloading: s3://natera-rnd-pltf-dev-nextflow-scratch-01/work/9a/0525aed429e2f15c0a957e9edcbc3d/custom_Sig_18_tumor_normal.segments.csv
Downloading: s3://natera-rnd-pltf-dev-nextflow-scratch-01/work/3a/e7859ff89176db2ae84366be6940bc/.command.run
Downloading: s3://natera-rnd-pltf-dev-nextflow-scratch-01/work/3a/e7859ff89176db2ae84366be6940bc/.command.sh
==> STAGING COMPLETE (4 inputs)
Determining HRD-LOH, LST, TAI
scarHRD input saved for custom_Sig_18_tumor_normal
building scarHRD command
Rscript -e 'library(data.table);library(scarHRD);df <- scar_score("./custom_Sig_18_tumor_normal.scarHRD.input.txt", reference = "grch38", seqz=FALSE);dimnames(df) <- list(NULL, c("LOH","TAI","LST","HRD_score"));fwrite(as.data.table(df), "./custom_Sig_18_tumor_normal.scarHRD.output.score.csv")'
Running scarHRD