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Multiple declarations of primary_contigs_fai (#225)
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* multiple declarations of primary_contigs_fai
* remove duplicated gcnv_copy_number_posterior_expectation_mode
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pdiakumis authored Sep 14, 2021
1 parent 9e44979 commit 74693ff
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Showing 5 changed files with 2 additions and 7 deletions.
1 change: 0 additions & 1 deletion input_templates/TrainGCNV.ref_panel_1kg.json.tmpl
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Expand Up @@ -40,7 +40,6 @@
"TrainGCNV.gcnv_model_convergence_snr_averaging_window" : 500,
"TrainGCNV.gcnv_model_convergence_snr_countdown_window" : 10,
"TrainGCNV.gcnv_model_cnv_coherence_length" : 1000,
"TrainGCNV.gcnv_copy_number_posterior_expectation_mode" : "EXACT",

"TrainGCNV.gcnv_learning_rate" : 0.03,
"TrainGCNV.gcnv_num_thermal_advi_iters" : 250,
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Expand Up @@ -40,7 +40,6 @@
"TrainGCNV.gcnv_model_convergence_snr_averaging_window" : 500,
"TrainGCNV.gcnv_model_convergence_snr_countdown_window" : 10,
"TrainGCNV.gcnv_model_cnv_coherence_length" : 1000,
"TrainGCNV.gcnv_copy_number_posterior_expectation_mode" : "EXACT",

"TrainGCNV.gcnv_learning_rate" : 0.03,
"TrainGCNV.gcnv_num_thermal_advi_iters" : 250,
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1 change: 0 additions & 1 deletion test_input_templates/TrainGCNV/TrainGCNV.json.tmpl
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Expand Up @@ -40,7 +40,6 @@
"TrainGCNV.gcnv_model_convergence_snr_averaging_window" : 500,
"TrainGCNV.gcnv_model_convergence_snr_countdown_window" : 10,
"TrainGCNV.gcnv_model_cnv_coherence_length" : 1000,
"TrainGCNV.gcnv_copy_number_posterior_expectation_mode" : "EXACT",

"TrainGCNV.gcnv_learning_rate" : 0.03,
"TrainGCNV.gcnv_num_thermal_advi_iters" : 250,
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3 changes: 1 addition & 2 deletions wdl/GatherSampleEvidence.wdl
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Expand Up @@ -24,7 +24,7 @@ workflow GatherSampleEvidence {
# Use to revise Y, R, W, S, K, M, D, H, V, B, X bases in BAM to N. Use only if providing a CRAM file as input
# May be more expensive - use only if necessary
Boolean revise_base_cram_to_bam = false
File? primary_contigs_fai # required if using revise_base_cram_to_bam
File? primary_contigs_fai # required if using revise_base_cram_to_bam (or if run_module_metrics = true)
# Note: raw and "safe" CRAM/BAM IDs can be generated with GetSampleID
String sample_id
Expand Down Expand Up @@ -77,7 +77,6 @@ workflow GatherSampleEvidence {
# Run module metrics workflow at the end - on by default
Boolean? run_module_metrics
String? sv_pipeline_base_docker # required if run_module_metrics = true
File? primary_contigs_fai # required if run_module_metrics = true
File? baseline_delly_vcf # baseline files are optional for metrics workflow
File? baseline_manta_vcf
File? baseline_wham_vcf
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3 changes: 1 addition & 2 deletions wdl/GatherSampleEvidenceBatch.wdl
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Expand Up @@ -15,7 +15,7 @@ workflow GatherSampleEvidenceBatch {
# Use to revise Y, R, W, S, K, M, D, H, V, B, X bases in BAM to N. Use only if providing a CRAM file as input
# May be more expensive - use only if necessary
Boolean revise_base_cram_to_bam = false
File? primary_contigs_fai # required if using revise_base_cram_to_bam
File? primary_contigs_fai # required if using revise_base_cram_to_bam (or if run_module_metrics = true)
# Caller flags
Boolean collect_coverage = true
Expand Down Expand Up @@ -67,7 +67,6 @@ workflow GatherSampleEvidenceBatch {
String? batch # required if run_module_metrics = true
String? sv_pipeline_base_docker # required if run_module_metrics = true
String? linux_docker # required if run_module_metrics = true
File? primary_contigs_fai # required if run_module_metrics = true
File? baseline_delly_vcf # baseline files are optional for metrics workflow
File? baseline_manta_vcf
File? baseline_wham_vcf
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