Nucleotide-Transformer

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nucleotide-transformer is an open-source research tool that provides foundation models for genomics and transcriptomics. It offers transformer-based genomic language models and innovative downstream applications.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Skill level

Technical

About

What is nucleotide-transformer?

nucleotide-transformer is an open-source repository from InstaDeep AI, dedicated to advancing genomics and transcriptomics through cutting-edge deep learning models. It features a collection of transformer-based genomic language models and innovative downstream applications, including the Nucleotide Transformer (NT), Agro Nucleotide Transformer (AgroNT), SegmentNT, and ChatNT. The platform provides powerful, reproducible, and accessible tools for unlocking new insights from biological sequences, offering pre-trained weights, inference code, and research contributions. It supports various tasks such as functional-track prediction, genome annotation, controllable sequence generation, and single-cell transcriptomics, making it a central hub for AI-driven genomic research.

Best used for

Ideal for professors and researchers who need to analyze complex genomic and transcriptomic data, predict molecular phenotypes, and develop AI-driven applications in biology. Especially valuable for those working with multi-species data, long genomic contexts, and requiring state-of-the-art accuracy in functional-track prediction and genome annotation.

Common actions

analyze genomic data

predict gene function

annotate genomes

generate biological sequences

research transcriptomics

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Capabilities

Key features

Genomic foundation models
Transcriptomic foundation models
Multi-species analysis
Functional-track prediction
Genome annotation
Controllable sequence generation
Single-cell transcriptomics

Target Audience

professor

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What types of genomic models are available in nucleotide-transformer?

The repository includes various models like the Nucleotide Transformer (NT) for diverse human and species genomes, Agro Nucleotide Transformer (AgroNT) for plant genomics, SegmentNT for genomic element segmentation, and ChatNT for interactive DNA sequence analysis. It also features models for single-cell transcriptomics and multi-omics data.

How can I access and use the pre-trained models?

You can access the pre-trained models, inference code, and usage examples by cloning the GitHub repository. Detailed instructions for setting up your environment and using individual models are provided in their dedicated documentation pages within the repository.

What kind of research can be conducted using nucleotide-transformer?

This tool supports research in areas such as functional-track prediction, genome annotation, controllable sequence generation, molecular phenotype prediction, and single-cell transcriptomics. It enables scientists to unlock new insights from biological sequences using advanced AI foundation models.

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Coding & Development › Open Source & Models

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