Comments (2)
It seems like your command has /slurm/home/yrd/sunlab/yangfeng/pub/WW/WGS/deepvirant/deepvariant_1.6.1.sif
which I'm guessing is a Singularity Image File that you created from pulling from DeepVariant before already.
Two questions for you:
- Why are using using
-B
with it? - Is there a reason why you're specifying both the .sif file and the docker: path ?
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Related Issues (20)
- haploid contigs and PAR region options for DeepTrio HOT 13
- [E::vcf_parse_format] Incorrect number of FORMAT fields at NC_059157.1:24900 HOT 2
- postprocess_variants: Found multiple file patterns in input filename space HOT 8
- Issues with Incompatible TensorRT libraries in docker image google/deepvariant:latest-gpu and google/deepvariant:1.6.1-gpu HOT 9
- CUDA_ERROR_NO_DEVICE: no CUDA-capable device is detected HOT 9
- Info ONT R10.4.1 data HOT 3
- error while running deepvariant with a bam file with phasing information
- Error while using deepvariant with a bam file that is phased HOT 4
- Homozygous GT value while IGV shows otherwise HOT 8
- Fix male VCF after calling without --haploid_contigs="chrX,chrY" and/or --par_regions_bed parameters HOT 2
- gvcf with true depth and not (only) min_dp HOT 5
- any progress on somatic SNV calling? HOT 1
- Use haplotagged bam file with WES model type HOT 6
- docker: invalid reference format. HOT 6
- google/deepvariant:1.6.1 docker says version 1.6.0 HOT 7
- training with multi-gpu HOT 2
- Error encountered while running on downsampled BAM HOT 3
- run DeepVariant on ARM64 HOT 2
- Cannot install latest DeepVariant via Conda HOT 3
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from deepvariant.