semvec/pypi-packages huggingface dataset:
vcfparser-ipk 0.0.1
VCF parser for header data
Requires Python: >=3.6

# vcf_validator
This python project parses the vcf file and checks the VCF attributes with respect to the paper: https://f1000research.com/articles/11-231

### How to use parser:

First import the package using following command:
**from vcf_parser import vcf_parser**

Create and object of the class:
**parser = vcf_parser()**

Then call the method:
**parser.parse_as_chunks("m", 1000, True)**

The method **parse_as_chunks** parses the file and check for VCF header attributes for now. 

**Parameters for method:**
1. data to be parsed: for metadata use "m" and for header data use "h"
2. Chunk size.
3. "True" to stop the file after parsing header data, "False" to continue the parser till the end of the file.

### Responisble person
For further details please contact: **Dr. Matthias Lange (lange@ipk-gatersleben.de)** 

### Location of files
The parser generates the output in log files, which could be found in the directory where the scripts is located.