pysam

You can read and manipulate SAM/BAM alignment files using Pythonic genomic interfaces that wrap htslib, enabling efficient mapping, coverage analysis, and quality control operations directly within Python scripts.

Filtering and analyzing VCF variant files for NGS data is best handled by Pythonic genomic interfaces supporting VCF/BCF formats, which enable direct variant analysis, filtering, and annotation within Python workflows.

Yes, you can extract specific regions from CRAM files without loading the entire dataset by utilizing targeted fetch operations provided by Pythonic genomic interfaces built upon htslib.

Yes, htslib is required to process FASTA sequences in Python, as the underlying genomic data interfaces rely on it to perform efficient sequence extraction, validation, and statistical calculations.

Python handles large genomic datasets by providing Pythonic wrappers around optimized C libraries like htslib, combining scripting ease with the high performance required for efficient SAM/BAM and VCF/BCF file operations.