structural variation calling with SvABA powered by nextflow
10K+

Perform structural variant calling with SvABA.
| Type | Description |
|---|---|
| --input_folder | Folder containing normal (.normal.bam) and tumor (.tumor.bam) BAM files |
| --correspondance | A correspondance file, with columns ID, tumor, and normal specifying the name of the sample and the tumor/normal file names in the input folder |
| Name | Example value | Description |
|---|---|---|
| --ref | ref.fa | Path to reference fasta file. It should be indexed |
| Name | Default value | Description |
|---|---|---|
| --output_folder | "." | Path to output folder |
| --dbsnp_file | dbsnp_indel.vcf | DbSNP file, e.g. available here |
| --cpu | 1 | Number of cpu to use |
| --mem | 4 | Size of memory used in GB |
| --targets | NULL | bed file with target positions |
| --options | NULL | List of options to pass to svaba |
| Name | Description |
|---|---|
| --help | Display help |
git clone https://github.com/iarcbioinfo/data_test
nextflow run IARCbioinfo/svaba-nf -r v1.0 -profile singularity--input_folder path/to/input/ --svaba path/to/svaba/ --ref_file path/to/ref/ --dbsnp_file path/to/dbsnp_indel.vcf --output_folder /path/to/output
To run the pipeline without singularity just remove "-profile singularity". Alternatively, one can run the pipeline using a docker container (-profile docker).
To trigger the Tumor-only mode in some samples, put "None" (with capital N) in the normal column of the corresponding sample.
| Name | Description |
|---|---|
| txts (.bps.txt.gz) | Raw, unfiltered variants |
| BAMs (.contigs.bam) | Unsorted assembly contigs as aligned to the reference with BWA-MEM |
| Logs (.log) | Run-time information |
| txts (.discordants.txt.gz) | Discordant reads identified with 2+ reads |
| VCFs (.vcf ) | VCF of rearrangements and indels |
| Name | Description | |
|---|---|---|
| Nicolas Alcala* | [email protected] | Developer to contact for support |
| Tiffany Delhomme | [email protected] | Developer |
Content type
Image
Digest
Size
369.9 MB
Last updated
about 6 years ago
docker pull iarcbioinfo/svaba-nfPulls:
3
Sep 7 to Sep 13