pysam

Process SAM/BAM alignment files by wrapping the htslib library in Python to handle genomic data operations. This approach enables efficient sequence alignment processing and bioinformatics applications for Next-Generation Sequencing data.

Analyze VCF variant files by performing annotation, filtering, and validation against reference sequences. This integrated workflow wraps htslib in Python to query FASTA references and process variant data for biological research.

Use Python for genomic data processing by leveraging pysam and htslib to calculate coverage and perform quality control. This setup handles FASTA/FASTQ sequences and alignment files within integrated bioinformatics workflows.

You need biopython, scipy, and numpy to perform statistical and computational methods on genomic data. These dependencies support sequence analysis and variant interpretation alongside the core htslib functionality.

This approach works with CRAM files for sequence alignment operations by utilizing the htslib library. It processes SAM, BAM, and CRAM formats interchangeably to support various bioinformatics applications and reference querying.