Tutorial¶
Dependency data download¶
To predict breast cancer risk with MiScan, Users firstly needs to do:
VCF Files
We recommend using whole exon sequencing data to obtain individual variation information, but the results of whole genome sequencing and full-length RNA-seq data are also compatible with the model. Please download test VCF files from FTP
Maxout model weight
Users also need a MiScan model weight to perform prediction, well-trained model weight can be downloaded from here
usage-commandline¶
Suppose your VCF file and weight are placed in the $dir
directory, run with code:
MiScan --vcf $dir/SRR5447191.combined.filtered.vcf -o outputs --weight $dir/_MiScan_weights.hdf5
or with below command:
python -m MiScan --vcf $dir/SRR5447191.combined.filtered.vcf -o outputs --weight $dir/_MiScan_weights.hdf5
docker-commandline¶
if with docker, the path of VCF file or weight path shoule be path in Docker environment:
docker run -v $dir_contains_VCF_MODEL_FILES:/miscan jefferyustc/miscan_command_line:latest \
-o test_outputs --vcf sample.vcf --weight weights.hdf5
Attention: $dir_contains_VCF_MODEL_FILES
should be a dir in your local system that contains sample vcf file and weight file
usage-script¶
users can also execute this from script:
from MiScan import miscan_main
miscan_main(
outDir='./outputs',
inVcf='/Users/jeffery/Downloads/SRR5447191.combined.filtered.vcf',
model_weight='/Users/jeffery/workspace/projects/outputs/_MiScan_weights.hdf5'
)