Read, write, and analyze SAM/BAM/CRAM, VCF/BCF, and FASTA/FASTQ genomic files with pysam.
npx skills add https://github.com/crazymsn/academic-skills --skill pysam-crazymsn
Please help me install this Agent Skill. Skill: pysam Source: https://github.com/crazymsn/academic-skills/tree/main/academic-skills/pysam Command: npx skills add https://github.com/crazymsn/academic-skills --skill pysam-crazymsn
Pysam provides a Pythonic interface to read, manipulate, and write genomic datasets, including SAM/BAM/CRAM alignments, VCF/BCF variants, and FASTA/FASTQ sequences.
Install pysam in your environment and begin reading BAM and VCF data programmatically.
High-intent search queries and answers about installing and using this skill.
Read and analyze BAM or VCF files in Python using a Pythonic API to iterate alignments and variants, query regions, and extract data. It supports SAM, BAM, CRAM, VCF, and BCF formats for sequencing pipelines.
Yes, you can query specific genomic regions and calculate coverage from CRAM files. The toolkit integrates with CRAI and BAI index formats to enable efficient region queries and coverage calculation directly within sequencing analysis pipelines.
This genomics toolkit supports reading and writing FASTA and FASTQ sequences alongside alignment and variant files. It integrates with FAI index formats to enable sequence extraction and cross-format data interoperability in bioinformatics workflows.
The best way to validate variants and check pipeline interoperability is to use a Pythonic interface that opens VCF and BCF files programmatically. This allows you to iterate through variants, filter data, and validate variant calls against indexed reference data.
You work with Tabix and indexed genomic data in Python by opening tabix-indexed files through a Pythonic API. This enables region queries, efficient data extraction, and integration with indexed reference data for cross-format genomics analysis.
Processing large CRAM and BAM files programmatically requires proper index integration like BAI or CRAI to perform efficient region queries. Without these indexes, iterating through massive alignment files for coverage calculation and data extraction can become computationally intensive.
Yezez9Read and write genomic data files via a Pythonic htslib interface.
MicrockAnalyze scientific data files and generate detailed Markdown reports.
provectusGuide construction of genomics pipelines for alignment, variant calling, and annotation.
Zeyuyang-0420Read, manipulate, and analyze genomic datasets in SAM/BAM/CRAM and VCF/BCF formats.
