Failed clinical sample
Closed this issue · 6 comments
We had recently a failed WTS sample - details are:
- https://data.umccr.org/subjects/SBJ03874
- wfr.a46a39b2875549f685317e1f82c44c0f
- trn.8566f439dd7b44d980dc4ba92cfd74dd
gds-view --gds-path gds://production/temp/analysis_data/SBJ03874/rnasum/20230716943afa24/logs/main/try-1/task-stdouterr-0.log --to-stdout
processing file: RNAseq_report.Rmd
| | 0%
inline R code fragments
|. | 1%
label: script_description (with options)
List of 1
$ eval: logi FALSE
.
.
.
. | 28%
label: fusions_annot (with options)
List of 4
$ comment: logi NA
$ message: logi TRUE
$ warning: logi FALSE
$ eval : logi TRUE
[1] "Start: 2023-07-16 13:02:32"
[1] "Stop: 2023-07-16 13:02:32"
Time difference of 0.03456378 secs
|.................... | 29%
ordinary text without R code
label: fusions_and_manta_data_prep (with options)
List of 4
$ comment: logi NA
$ message: logi FALSE
$ warning: logi FALSE
$ eval : logi TRUE
[1] "Start: 2023-07-16 13:02:32"
Quitting from lines 3935-3989 (RNAseq_report.Rmd)
Error in order(..., decreasing = decreasing) : argument 3 is not a vector
Calls: <Anonymous> ... order -> standardGeneric -> eval -> eval -> eval -> order
In addition: There were 30 warnings (use warnings() to see them)
Execution halted
This will be a good test case for recent refactoring work to see if we can capture this issue.
In the absence of a QC-based go/no-go decision from the portal and workflow managers do you want to add in a QC check to the WTS workflow? E.g., if file sizes smaller X skip to the end of the pipeline.
Although shallow, but this sample has ~15M input reads. Looking at the error, it has failed at fusion prep stage and producing an R error. I'd like to understand which input is choking RMD and if this is handled better/differently with refactored code.
We haven't nailed this one down yet have we?
I can debug SBJ03874 from my side if so.
I haven't added this case to my testing cohort. Leaving it with you :)
Getting same error with https://umccr.slack.com/archives/C8CG6K76W/p1693072750986549.