data = json.load(f) df = pd.DataFrame(data) Convert dataframe to VCF format vcf_data = [] for index, row in df.iterrows():

Before diving into the conversion process, let’s briefly review the JSON and VCF formats:

"name": "John", "age": 30, "variants": [ "chr": "chr1", "pos": 100, "ref": "A", "alt": "T" ]

Here’s a step-by-step guide on converting JSON to VCF using Python:

VCF is a tab-separated text file format used for storing genetic variation data. A VCF file typically has a header section followed by a body section. The header section contains metadata, while the body section contains variant data. A sample VCF file:

f.write('##fileformat=VCFv4.2 ’)

f.write('#CHROM POS

pip install json pandas