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hisat2-alignment

Align RNA-seq reads to a reference genome using HISAT2.

6|2|Updated Jun 11, 2026
Search Tags:#bioinformatics#genomics#alignment#RNA-seq#HISAT2
One-click install
npx skills add https://github.com/pradyumnasagar/open-research-skills --skill hisat2-alignment
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: hisat2-alignment
Source: https://github.com/pradyumnasagar/open-research-skills/tree/main/skills/bioinformatics-sequence/hisat2-alignment
Command: npx skills add https://github.com/pradyumnasagar/open-research-skills --skill hisat2-alignment

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires hisat2, samtools, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill enables fast and memory-efficient RNA-seq alignment using HISAT2, ideal for bulk RNA-seq pipelines and small-genome RNA-seq projects.

Core Features & Use Cases

  • Splice-aware Alignment: Achieves high sensitivity for transcriptome assembly.
  • Memory Efficiency: Ideal for use with small genomes and large datasets.
  • Use Case: When aligning RNA-seq reads to a reference genome for transcriptome analysis, this Skill is a preferred choice over alternatives like STAR due to its speed and memory usage.

Quick Start

Build a HISAT2 index and align reads using the following command:

hisat2 -p 16 --dta -x genome_hs2 -1 reads_R1.fq.gz -2 reads_R2.fq.gz -S sample1.sam

Frequently Asked Questions about hisat2-alignment

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

FAQPage Schema
How do I align RNA-seq reads to a reference genome using HISAT2?▼

To align RNA-seq reads with HISAT2, build a HISAT2 index and run the aligner using paired-end FASTQ files and the --dta option to output a SAM file for transcriptome assembly.

What is splice-aware alignment and when is it needed for RNA-seq data?▼

Splice-aware alignment maps RNA-seq reads across exon-intron boundaries, which is required for accurate transcriptome assembly and quantification from bulk RNA-seq or 3' tag-seq data.

HISAT2 vs STAR: which is better for small genome RNA-seq alignment?▼

HISAT2 is preferred over STAR for small genome RNA-seq alignment due to its lower memory usage and high speed, while maintaining the splice-aware sensitivity needed for transcriptome analysis.

Do I need Samtools to run HISAT2 for RNA-seq alignment?▼

Yes, Samtools is required alongside HISAT2 to process, sort, and convert the SAM output files generated during RNA-seq read alignment into BAM format for downstream analysis.

Can I use HISAT2 to align paired-end bulk RNA-seq reads?▼

Yes, HISAT2 efficiently aligns paired-end bulk RNA-seq reads to a reference genome using the -1 and -2 flags for forward and reverse FASTQ files, outputting a SAM alignment file.

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