HISAT2

HISAT2 is command-line software for aligning DNA and RNA sequencing reads to reference genomes, including graph indexes representing human genetic variation.

7.4/10 TechZella Score
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6 key claims verifiedOur editorial team checked this profile against vendor documentation, product documentation. Supported by 4 documented sources.
Editorial overview

Aggregated Overview

The project documents graph-based and splice-aware alignment, reference-index building, SAM output, and APIs. It is free under GPLv3, but requires command-line installation and local compute. Public review-platform ratings and recurring user-review themes were not verified.

This profile combines documented product information and independent evidence where available. It is not a hands-on test unless TechZella explicitly identifies one.

Overview

HISAT2 is command-line software for mapping next-generation DNA and RNA sequencing reads to a reference genome or a population of human genomes. It uses a Hierarchical Graph FM index, combining a global graph index with local indexes.

It outputs alignments in SAM format, which supports downstream use with tools such as SAMtools and GATK. HISAT2 is free under GPL-3.0 and runs locally rather than as a hosted application.

Decision guide

HISAT2 Decision Snapshot

A quick way to understand who this product may suit, where its limits matter, and which facts are most relevant before you compare alternatives.

Best suited to

Research teams aligning short-read DNA or RNA sequencing data to a reference genome, especially when graph indexes for human variation or splice-aware RNA alignment are relevant.

Look elsewhere if

Buyers seeking a hosted graphical application, vendor-managed support, or a turnkey clinical workflow should assess other tools; HISAT2 is a command-line program distributed as open-source software, and should evaluate alternatives such as STAR instead.

Platforms

API, CLI, Linux, macOS, Windows

TechZella assessment

7.4/10

Decision context

HISAT2 — What Sets It Apart?

These are the product-specific differences that may matter when deciding whether the software fits your workflow. They are based on documented evidence rather than a universal ranking.

  • Its Hierarchical Graph FM index combines a population-level graph index with local indexes, supporting alignment to a population of human genomes as well as a single reference.
  • The project provides separate HISAT2 APIs in C++, Python, and Java for retrieving genomic locations from repeat alignments.
  • The official site distributes prebuilt reference indexes that include combinations of reference sequence, SNPs, and transcripts.
Editorial assessment

HISAT2 Pros & Cons

Pros

  • Graph-based indexes support population-genome alignment, including human variation.
  • Supports splice-aware RNA alignment as well as DNA read mapping.
  • SAM output supports downstream interoperability with documented tools such as SAMtools and GATK.
  • Free distribution under GPL-3.0.

Cons

  • Command-line operation and local installation require technical setup.
  • Users must provide compute, storage, and compatible reference indexes.
  • The official download page lists older prebuilt binaries than the latest GitHub release.
  • No hosted service, subscription support plan, or paid onboarding was found in the project materials checked.
Operational limits

HISAT2 Gotchas & Operational Limits

These are documented constraints or practical friction points that may matter before you adopt the product.

The official download page lists HISAT2 2.2.1 binaries, while the GitHub releases page lists version 2.2.3.

Users should check the release repository and confirm which version their package or deployment actually installs rather than assuming the download page is current.

Evidence source ↗

Windows support is described as a source-build route in the manual, not as a current official prebuilt binary download.

Windows users may need to install and configure a compiler environment before deployment.

Evidence source ↗
Plans & pricing

HISAT2 Pricing & Plans

Open-source software

$0
one-time

HISAT2 is distributed under the GPL-3.0 license. Compute, storage, installation, and operational costs are not included.

Check current pricing →

Pricing may change. Verify current plans on the vendor's website.

Cost context

Total Cost & Hidden Costs

Additional costs or implementation requirements that are documented in the available evidence.

Setup and onboarding

No paid onboarding is listed. Users install binaries or compile from source, prepare or download a compatible reference index, and configure command-line workflows; the project does not publish a time estimate.

Evidence source ↗

Compute and storage

HISAT2 is self-installed rather than a hosted service, so compute and storage are user-provisioned. The repository lists at least 8 GB RAM and gives a 6.2 GB example index for a human reference plus common SNPs.

Evidence source ↗

Paid tiers and support

The repository identifies GPL-3.0 licensing, and the official site publishes no subscription or paid support pricing. No paid add-ons or commercial support fees were verified in the project materials checked.

Evidence source ↗
Compare options

HISAT2 Competitors & Alternatives

Compare similar products directly, then see which alternatives may make more sense when your requirements differ.

At a glance

Open Source Software
HISAT2 compared with STAR, Bowtie 2
Decision factorHISAT2STARBowtie 2
Core scopeMaps next-generation sequencing reads, including DNA and RNA, to population or single-reference genomes using graph FM indexing.A spliced RNA-seq aligner for mapping transcripts to a reference. Source ↗Aligns sequencing reads to long references with gapped, local, and paired-end modes; its manual does not describe splice-aware RNA alignment as its core scope. Source ↗
DeploymentCommand-line software; Linux and macOS binaries are listed, and the manual documents Windows source builds.Command-line software with documented 64-bit Linux and macOS requirements and executables. Source ↗Command-line software with documented Linux, macOS, Windows, and BSD support. Source ↗
Pricing modelOpen source under GPL-3.0.Open source under the MIT License. Source ↗Open source under GPLv3. Source ↗

Only factors supported by the available research are shown. The comparison is descriptive, not a ranking.

Direct competitors

These products address broadly similar requirements. The descriptions focus on documented reasons a buyer might compare them with HISAT2.

STARA spliced RNA-seq aligner for mapping transcripts to a reference.
Capabilities

HISAT2 Features

Read alignment

  • Aligns next-generation DNA and RNA sequencing reads
  • Supports whole-genome, transcriptome, and exome sequencing data
  • Splice-aware RNA-read alignment

Indexing and variation

  • Hierarchical Graph FM index with global and local indexes
  • Supports mapping to population genomes or a single reference
  • Official downloads include reference, SNP, and transcript index variants

Workflow and interfaces

  • Writes SAM-format alignment output
  • Provides C++, Python, and Java APIs for repeat-alignment location retrieval
  • Supports multithreading
Visual preview

Demo & Screenshots

Product details

HISAT2 Specifications

LicenseGPL-3.0
Latest release found2.2.3, July 31, 2026
InterfaceCommand line
Output formatSAM
Documented operating systemsLinux, macOS, Windows
Prebuilt binaries listedLinux x86_64 and macOS x86_64
Minimum memory in repository guidance8 GB RAM
APIsC++, Python, Java
Documented interoperabilitySAMtools, GATK
HostingSelf-installed; hosted service not documented
Deployment

Deployment & System Footprint

Verified installation, hosting, administration, or environment details that can affect implementation.

Installation or hostingCommand-line software installed and run locally; documented build routes include Linux, macOS, and Windows toolchains. No hosted service is documented. Source ↗
Architecture and minimum requirementsThe repository states a 64-bit Linux or Mac OS X computer and at least 8 GB RAM; the manual also covers Windows source builds. Source ↗
Exit planning

Migration & Lock-In

Documented portability, standards, export, or switching considerations. No switching-cost score is shown unless the evidence supports one.

Output format

HISAT2 writes alignments in SAM format, which the manual identifies as interoperable with tools such as SAMtools and GATK.

Evidence source ↗

Reference indexes

Indexes are built from reference sequence files or downloaded as prebuilt HISAT2 indexes. The project documents HISAT2-specific index files, so teams switching aligners should plan to create or obtain compatible indexes.

Evidence source ↗
Our evidence-based assessment

TechZella Score

A proprietary editorial score based on product capabilities, usability, value, performance, support and user sentiment evidence.

7.4/10Moderate confidence
Features8.5
Ease of Use6.5
Value for Money9.0
Performance8.0
Support5.0
User Sentiment5.0

The project documents graph-based and splice-aware alignment, reference-index building, SAM output, and APIs. It is free under GPLv3, but requires command-line installation and local compute. Public review-platform ratings and recurring user-review themes were not verified.

Methodology v1.0. The assessment weighs feature coverage (25%), ease of use (15%), value for money (20%), performance (15%), support (10%) and user sentiment (15%), using researched product evidence and verified review evidence where available. It is a TechZella editorial assessment, not a direct user-review average.

Editorial transparency

Our Review Methodology

Key claims are linked to the sources used to verify them. This evidence record is separate from third-party user ratings.

TechZella evaluates software using documented product capabilities, pricing information, usability and value considerations, independent user evidence where available, and competitive context. The assessment is an editorial review, not a hands-on test unless one is explicitly identified. Our editorial assessment is based on 4 documented sources.

What TechZella adds
  • Its Hierarchical Graph FM index combines a population-level graph index with local indexes, supporting alignment to a population of human genomes as well as a single reference.
  • The project provides separate HISAT2 APIs in C++, Python, and Java for retrieving genomic locations from repeat alignments.
  • The official site distributes prebuilt reference indexes that include combinations of reference sequence, SNPs, and transcripts.
Important limitations
  • Official documentation describes command-line installation and compilation; it does not offer a hosted service or GUI.
  • The project’s download page lists prebuilt x86_64 binaries for Linux and macOS, while Windows builds require a source build using a supported toolchain.
  • A reference index must be available or built from sequence data before alignment; users must provision and operate compute and storage themselves.
Evidence-backed claims
HISAT2 maps sequencing reads to a population of human genomes or a single reference genome.

The project site describes mapping next-generation DNA and RNA reads to a population of human genomes as well as a single reference genome.

View source ↗Verified 2026-11-11
HISAT2 uses a Hierarchical Graph FM index.

The project describes a global graph FM index combined with local indexes as its HGFM indexing approach.

View source ↗Verified 2026-11-11
HISAT2 outputs SAM-format alignments and is licensed under GPLv3.

The manual states both the output format and license, and describes command-line operation across operating systems.

View source ↗Verified 2026-11-11
HISAT2 exposes C++, Python, and Java APIs for repeat-alignment genomic location retrieval.

The official site describes APIs for retrieving genomic locations from repeat alignments for downstream analyses.

View source ↗Verified 2026-11-11
HISAT2 2.2.3 added compilation support for ARM architecture using sse2neon.

The GitHub release page identifies version 2.2.3, dated July 31, 2026, and lists ARM compilation support using sse2neon.

View source ↗Verified 2026-11-11
A published benchmark compared HISAT2 with STAR and other aligners on a specific RNA-seq dataset.

The study reports results for six aligners using 48 grapevine powdery mildew samples and notes that results can vary with species and data.

View source ↗Verified 2026-11-11
Common questions

HISAT2 FAQs

Answers begin with the clearest available response, followed by the context that helps you act on it.

Is HISAT2 free?
Yes. The project distributes it under the GPL-3.0 license.
Which operating systems does HISAT2 support?
The manual documents Linux, macOS, and Windows command-line use. It lists Linux and macOS binaries and explains how to build on Windows.
Does HISAT2 have an API?
Yes. The project documents C++, Python, and Java APIs for retrieving genomic locations from repeat alignments.
Can HISAT2 work with SAMtools or GATK?
Yes. HISAT2 outputs SAM alignments, and its manual names SAMtools and GATK as tools that use that format.
What is the latest HISAT2 release?
The GitHub releases page lists HISAT2 2.2.3, dated July 31, 2026. Its listed change adds ARM compilation support using sse2neon.
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