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Errors while genotype generation. #33
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Update: I can now generate the genotype. The error was in Population file. However, now I am experiencing errors with the evaluation scripts. The error is thrown while evaluating the example as well as generated genotype dataset. The error is as follows: [ Info: AA_T = 0.9927 I cannot understand why the script demands the /scratch/aniket01 directory (it is present, I checked). Also, I think it is important to mention that I am using the university HPC. Could you let me know a work around for this? I have run the evaluation script before and it did not throw any error back then. I hope it is not much trouble and I will hear from you soon. Regards, |
I am trying to generate genotype data. My genotype data is based on the reference genome: GRCh37.
While generating the rsid and variant list files and also downloading the mutation age and genetic map files, I think that the authors have downloaded the mutation age and genetic map files for GRCh37. This is something I noticed and I hope the authors have taken suitable measures to deal with this.
The preprocessing step was successful.
While generating genotype data, I am facing the following error:
[ Info: Creating output directories
Running pipelines:
optimisation => false
phenotype => false
evaluation => false
preprocessing => false
genotype => true
[ Info: Using 1 thread/s for computations
[ Info: Generating synthetic genotype data
[ Info: Processing chromosome 1
[ Info: Using the superpopulation EUR
[ Info: Using default population structure
[ Info: Writing the population file
[ Info: Creating the reference table for batch 1
Progress: 100%|█████████████████████████████████████████████████████████████████████████████████████████| Time: 0:01:06
[ Info: Writing the plink file for batch 1
ERROR: LoadError: TaskFailedException
Stacktrace:
[1] wait
@ ./task.jl:322 [inlined]
[2] threading_run(func::Function)
@ Base.Threads ./threadingconstructs.jl:34
[3] macro expansion
@ ./threadingconstructs.jl:93 [inlined]
[4] get_genostr(batch_ref_df::DataFrame, batchsize::Int64, start_haplotype::Int64, metadata::GenomicMetadata)
@ Main /opt/intervene/scripts/algorithms/genotype/write_output.jl:60
[5] write_to_plink_batch(batch_ref_df::DataFrame, prev_batchsize::Int64, cur_batchsize::Int64, batch_number::Int64, metadata::GenomicMetadata)
@ Main /opt/intervene/scripts/algorithms/genotype/write_output.jl:115
[6] create_synthetic_genotype_for_chromosome(metadata::GenomicMetadata)
@ Main /opt/intervene/scripts/algorithms/genotype/genotype_algorithm.jl:124
[7] create_synthetic_genotype(options::Dict{Any, Any})
@ Main /opt/intervene/scripts/algorithms/genotype/genotype_algorithm.jl:162
[8] macro expansion
@ /opt/intervene/scripts/run_program.jl:31 [inlined]
[9] macro expansion
@ ./timing.jl:287 [inlined]
[10] run_program(pipelines::Dict{String, Bool}, options::Dict{Any, Any})
@ Main /opt/intervene/scripts/run_program.jl:30
[11] main()
@ Main /opt/intervene/scripts/run_program.jl:113
[12] top-level scope
@ /opt/intervene/scripts/run_program.jl:117
in expression starting at /opt/intervene/scripts/run_program.jl:117
Can anyone help me gain insights for this? Thanks.
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