Description of the bug
modules.config stated that model type for DeepVariant is only WGS
DeepVariant stated in V1.5 release, that ONT_R104 option is available, otherwise should be using PEPPER-Margin-DeepVariant.
New model datatype: --model_type ONT_R104 is a new option. Starting from v1.5, DeepVariant natively supports ONT R10.4 simplex and duplex data. For older ONT chemistry, please continue to use PEPPER-Margin-DeepVariant.
process { withName: DEEPVARIANT { ext.args = { "--model_type WGS" } publishDir = [ path: { "${params.outdir}/variant_calling/deepvariant" }, mode: 'copy', enabled: true, saveAs: { filename -> filename.equals('versions.yml') ? null : filename } ] } }
Is using Nanoseq with DEEPVARIANT - WGS suitable for ONP long read?
Command used and terminal output
Relevant files
No response
System information
No response
Description of the bug
modules.config stated that model type for DeepVariant is only WGS
DeepVariant stated in V1.5 release, that ONT_R104 option is available, otherwise should be using PEPPER-Margin-DeepVariant.
New model datatype: --model_type ONT_R104 is a new option. Starting from v1.5, DeepVariant natively supports ONT R10.4 simplex and duplex data. For older ONT chemistry, please continue to use PEPPER-Margin-DeepVariant.
process { withName: DEEPVARIANT { ext.args = { "--model_type WGS" } publishDir = [ path: { "${params.outdir}/variant_calling/deepvariant" }, mode: 'copy', enabled: true, saveAs: { filename -> filename.equals('versions.yml') ? null : filename } ] } }
Is using Nanoseq with DEEPVARIANT - WGS suitable for ONP long read?
Command used and terminal output
Relevant files
No response
System information
No response