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What is Folklore Clinical Variant Interpretation?

Folklore is a specialized platform created by Helena Bioinformatics that focuses on the analysis of clinical variants for research purposes. It supports genomic experts in the examination of publicly available variant data, scientific literature, clinical assertions, population demographics, and relevant guidelines through a systematic approach. Moreover, Folklore includes a publicly accessible MCP adapter that facilitates evidence discovery using agent-based methodologies. It is essential to note that this platform does not aim to deliver diagnoses, propose treatment alternatives, or replace professional assessments. Folklore is tailored for clinical genomics teams, molecular diagnostic labs, researchers, bioinformaticians, and scientists who work with genetic variants. By streamlining the variant interpretation process, Folklore seeks to significantly improve the precision and effectiveness of clinical assessments. Ultimately, this tool represents a critical advancement in the realm of clinical genomics, promoting better healthcare outcomes.

What is Evo 2?

Evo 2 is an advanced genomic foundation model that excels in predicting and creating tasks associated with DNA, RNA, and proteins. Utilizing a sophisticated deep learning architecture, it models biological sequences with precision down to single-nucleotide accuracy, demonstrating remarkable scalability in both computational and memory resources as context length expands. The model has been trained on an impressive 40 billion parameters and can handle a context length of 1 megabase, analyzing an immense dataset of over 9 trillion nucleotides derived from diverse eukaryotic and prokaryotic genomes. This extensive training enables Evo 2 to perform zero-shot function predictions across a range of biological types, including DNA, RNA, and proteins, while also generating novel sequences that adhere to plausible genomic frameworks. Its robust capabilities have been highlighted in applications such as the design of efficient CRISPR systems and the identification of potentially disease-causing mutations in human genes. Additionally, Evo 2 is accessible to the public via Arc's GitHub repository and is integrated into the NVIDIA BioNeMo framework, which significantly enhances its availability to researchers and developers. This integration not only broadens the model's reach but also represents a pivotal advancement in the fields of genomic modeling and analysis, paving the way for future innovations in biotechnology.

Media

Media

Integrations Supported

Integrations Supported

Evo Designer
GitHub
Hugging Face
NVIDIA BioNeMo

API Availability

Has API

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
On-Site Training

Company Facts

Organization Name

Helena Bioinformatics

Company Location

Bulgaria

Company Website

folklore.helena.bio

Company Facts

Organization Name

Arc Institute

Company Location

United States

Company Website

arcinstitute.org/tools/evo

Categories and Features

Categories and Features

AI Models

Not specified

AI Science

Not specified

Bioinformatics

Not specified

Foundation Models

Not specified

Molecular Modeling

Not specified

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