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hlaont

PyPIInfrastructure

No liveness check has reached it yet; it is registered on GitHub and PyPI and has been in the index since 13 Oct 2026. How this is checked

hlaont is an open-source bioinformatics package for confidence-aware, full-field HLA typing from Oxford Nanopore R10 long reads. It is intended for genomics researchers and developers analyzing MHC and HLA sequencing data.

Inferred · not functionally tested

Open SourceMITCLISelf-hosted
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2stars
5features
2026since

Overview

5 features

Purpose: Accurately determining full-field HLA types from Oxford Nanopore long-read sequencing data.

Inferred · not functionally tested

Audience: bioinformatics researchers and genomics developers

Inferred · not functionally tested

Functions: data_extraction

Inferred · not functionally tested

Interfaces: API: unknown · MCP: unknown · CLI: indicated (inferred, not tested) · Self-hosting: indicated (inferred, not tested)

Recorded constraints: pricing: open_source · license: MIT · platforms: CLI · deployment: cli, self_hosted

Constraint provenance is unknown; confirm requirements with the publisher.

Record sources: pypi.org · github.com. These links do not verify the individual claims.

hlaont sits in PulseGate's Other data science & ML category. Inferred · not functionally tested: Accurately determining full-field HLA types from Oxford Nanopore long-read sequencing data. Inferred · not functionally tested: hlaont is an open-source project aimed at bioinformatics researchers and genomics developers. Basis unknown · not verified: hlaont is open source under the MIT license. Basis unknown · not verified: hlaont is available on the command line, and it can be self-hosted.

Aleix Canalda builds and maintains hlaont, and it first shipped in 2026. Development happens publicly on GitHub with 14 commits in the last 90 days. Inferred · not functionally tested: Key capabilities include HLA typing, long-read analysis, and confidence scoring.

Summary written by a language model from the project’s public pages.

Tasks: Inferred · not functionally tested

  • HLA typing
  • Long-read analysis
  • Confidence scoring
  • ONT R10 support
  • MHC analysis

Topics: Inferred · not functionally tested

Tags
hla-typingnanopore-sequencinglong-read-genomicsbioinformatics

JSON profile · Text profile · Access guide

Built with & integrations

Runs on
CLISelf-hosted

Trust & compliance

License
MIT
Public signals
HTTPSOpen SourceGitHub · ★ 2Active maintenance

Indexing history

1

What PulseGate has recorded for this listing

  1. Indexed13 Oct · 15:51 UTC
    hlaont seen via PyPI Bulk Enumerator
    Source: PyPI Bulk Enumerator · Open

Frequently asked questions about hlaont

What does hlaont do?
Inferred · not functionally tested: Accurately determining full-field HLA types from Oxford Nanopore long-read sequencing data. It is catalogued under Other data science & ML on PulseGate.
Who should use hlaont?
Inferred · not functionally tested: hlaont is an open-source project built for bioinformatics researchers and genomics developers.
Does hlaont have a free plan?
Basis unknown · not verified: Yes — hlaont is open source under the MIT license and free to use.
What platforms does hlaont run on?
Basis unknown · not verified: hlaont runs on the command line. It can also be self-hosted.
Is hlaont still active?
The GitHub repository shows 14 commits in the last 90 days.
What projects are similar to hlaont?
Similar projects tracked by PulseGate include Unlimited Statistics, BlazerOps, and Stats Explorer MCP.Unlimited StatisticsBlazerOpsStats Explorer MCP
Who makes hlaont?
hlaont is developed by Aleix Canalda.
How long has hlaont been around?
hlaont first shipped in 2026.

Also in Other data science & ML

Same category — not a similarity match