Vcf Shuffle Cols

vcf-shuffle-cols

Quick Start

• Command: vcf-shuffle-cols -t template.vcf[.gz] input.vcf[.gz] > output.vcf
• Local executable: /home/vimalinx/miniforge3/envs/bio/bin/vcf-shuffle-cols
• Fallback launcher in this workspace: /home/vimalinx/miniforge3/envs/bio/bin/perl /home/vimalinx/miniforge3/envs/bio/bin/vcf-shuffle-cols
• Full reference: See references/help.md

When To Use This Tool

• Reorder sample columns in one VCF to match a trusted template VCF.
• Normalize sample order before joins, comparisons, or downstream tools that assume aligned sample columns.
• Fix order mismatches without rewriting the variant content itself.
• Use stdin as the data source when the input VCF is already being streamed.

Common Patterns

# 1) Reorder one VCF to match a template
/home/vimalinx/miniforge3/envs/bio/bin/perl \
  /home/vimalinx/miniforge3/envs/bio/bin/vcf-shuffle-cols \
  -t template.vcf.gz \
  input.vcf.gz > reordered.vcf

# 2) Stream the input VCF from stdin
gunzip -c input.vcf.gz | \
  /home/vimalinx/miniforge3/envs/bio/bin/perl \
  /home/vimalinx/miniforge3/envs/bio/bin/vcf-shuffle-cols \
  -t template.vcf.gz > reordered.vcf

# 3) Reorder before a phased join
/home/vimalinx/miniforge3/envs/bio/bin/perl \
  /home/vimalinx/miniforge3/envs/bio/bin/vcf-shuffle-cols \
  -t chunk1.vcf \
  chunk2.vcf > chunk2.reordered.vcf

Recommended Workflow

1. Pick a template VCF whose sample names and order you trust.
2. Verify the input and template contain the same sample set before reordering.
3. Run the shuffle step and write to a new file, then use that normalized VCF in downstream joins or comparisons.
4. Recompress and reindex afterward if the next tool expects .vcf.gz plus tabix.

Guardrails

• In this shell, direct invocation may fail with Can't locate Vcf.pm; activate the bio environment first or call the script through /home/vimalinx/miniforge3/envs/bio/bin/perl.
• The template is required via -t; the script errors if sample names do not match one-to-one.
• The common usage examples show .vcf.gz, but the script itself can read a file argument or stdin; compression is not the core requirement.
• Output is written to stdout, so always redirect it.
• This only reorders columns; it does not reconcile missing samples, merge records, or fix variant-level inconsistencies.