genomics-alignment

Name: genomics-alignment
Availability: InStock
Author: TianGzlab

Align FASTQ reads to reference genomes with BWA-MEM, Bowtie2, and Minimap2.

155|26|Updated Mar 14, 2026

Search Tags:#genomics #alignment #bam #bwa #bowtie2 #minimap2

Ready to run

npx skills add https://github.com/TianGzlab/OmicsClaw --skill genomics-alignment

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: genomics-alignment
Source: https://github.com/TianGzlab/OmicsClaw/tree/main/skills/genomics/genomics-alignment
Command: npx skills add https://github.com/TianGzlab/OmicsClaw --skill genomics-alignment

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill streamlines the process of aligning short and long sequencing reads to reference genomes, preventing errors and ensuring standardized outputs.

Core Features & Use Cases

Multiple Aligners: Supports BWA-MEM, Bowtie2, and Minimap2 for flexible alignment.
Standardized Output: Generates sorted BAM files and comprehensive alignment statistics.
Use Case: Aligning millions of DNA sequencing reads from a new sample to a reference genome to prepare for variant calling.

Quick Start

Run alignment on your fastq data using BWA.

Frequently Asked Questions about genomics-alignment

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I align sequencing reads to a reference genome using BWA or Bowtie2?▼

Read alignment to a reference genome is performed using BWA-MEM, Bowtie2, or Minimap2 to map input FASTQ files into standardized sorted BAM or CRAM outputs. The Skill integrates quality control logging and reporting for accurate downstream preparation.

Can I use Minimap2 for long read alignment to a reference genome?▼

Yes, long read alignment to a reference genome is supported using Minimap2. The process accepts input FASTQ files, generates standardized sorted BAM or CRAM outputs, and includes integrated quality control logging for accurate read mapping.

What do I need to prepare for short read alignment with BWA-MEM?▼

Short read alignment with BWA-MEM requires input FASTQ files and a reference genome. Providing these inputs ensures accurate read mapping and produces standardized sorted BAM files with comprehensive alignment statistics for downstream analysis.

What is the best way to generate standardized BAM files for variant calling preparation?▼

Generating standardized BAM files for variant calling is best accomplished by aligning millions of DNA sequencing reads to a reference genome. This Skill supports BWA-MEM, Bowtie2, and Minimap2, producing sorted BAM outputs with integrated quality control reporting.

Does this read alignment process work with both short and long sequencing reads?▼

Yes, the read alignment process works with both short and long sequencing reads. It supports BWA-MEM and Bowtie2 for short reads, and Minimap2 for long reads, mapping input FASTQ files to a reference genome with comprehensive alignment statistics.

Why does read alignment require a reference genome and FASTQ files?▼

Read alignment requires input FASTQ files and a reference genome to ensure accurate read mapping. Without these inputs, the aligners cannot properly map the sequencing reads or generate the standardized sorted BAM or CRAM outputs needed for downstream analysis.