Hyphaeon
No liveness check has reached it yet; it is registered on GitHub and Hugging Face and has been in the index since 10 Oct 2026. How this is checked
HyphAeon is an open-source neural model and command-line tool for detecting site-level episodic diversifying positive selection in codon alignments and phylogenetic trees. It supports Python usage and ONNX deployment for bioinformatics workflows.
Inferred · not functionally tested
Overview
6 featuresPurpose: Detecting episodic positive selection in molecular sequences without the computational cost of traditional maximum-likelihood methods.
Inferred · not functionally tested
Audience: bioinformaticians and evolutionary biologists
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, WEB · deployment: browser, cli, self_hosted
Constraint provenance is unknown; confirm requirements with the publisher.
Record sources: huggingface.co · github.com. These links do not verify the individual claims.
Hyphaeon is an Other AI project. Inferred · not functionally tested: It focuses on detecting episodic positive selection in molecular sequences without the computational cost of traditional maximum-likelihood methods. Inferred · not functionally tested: Hyphaeon is an open-source project aimed at bioinformaticians and evolutionary biologists. Basis unknown · not verified: The project is open source (MIT). Basis unknown · not verified: It ships for the web and the command line, and it can be self-hosted.
Sergei L. Kosakovsky Pond and collaborators builds and maintains Hyphaeon, and it first shipped in 2026. The project is developed in the open on GitHub with 12 stars and 218 commits in the last 90 days. Inferred · not functionally tested: Among its 6 catalogued features are codon alignment analysis, phylogenetic tree analysis, and positive selection detection.
Summary written by a language model from the project’s public pages.
Tasks: Inferred · not functionally tested
- Codon alignment analysis
- Phylogenetic tree analysis
- Positive selection detection
- Neural inference
- ONNX deployment
- Python usage
Topics: Inferred · not functionally tested
Built with & integrations
- AWS
- x-amz-cf-id header · x-amz-cf-pop header · via header
Trust & compliance
Indexing history
1What PulseGate has recorded for this listing
- Indexed10 Oct · 15:54 UTCdatamonkey/hyphaeon seen via Hugging Face EnumeratorSource: Hugging Face Enumerator · Open
Frequently asked questions about Hyphaeon
- What is Hyphaeon?
- Inferred · not functionally tested: Hyphaeon focuses on detecting episodic positive selection in molecular sequences without the computational cost of traditional maximum-likelihood methods. It is catalogued under Other AI on PulseGate.
- Who should use Hyphaeon?
- Inferred · not functionally tested: Hyphaeon is an open-source project built for bioinformaticians and evolutionary biologists.
- Is Hyphaeon free?
- Basis unknown · not verified: Yes — Hyphaeon is open source under the MIT license and free to use.
- What platforms does Hyphaeon run on?
- Basis unknown · not verified: Hyphaeon runs on the web and the command line. It can also be self-hosted.
- Is Hyphaeon still maintained?
- The GitHub repository shows 218 commits in the last 90 days.
- What are alternatives to Hyphaeon?
- Similar projects tracked by PulseGate include Aicords, Banjo, and Spend Defense.AicordsBanjoSpend Defense
- Who makes Hyphaeon?
- Hyphaeon is developed by Sergei L. Kosakovsky Pond and collaborators.
- When did Hyphaeon launch?
- Hyphaeon first shipped in 2026.
Also in Other AI
Same category — not a similarity match