S

Segment Nt

Developed by InstaDeepAI
SegmentNT is a DNA segmentation model based on Nucleotide Transformer, capable of predicting the positions of multiple genomic elements in a sequence at single nucleotide resolution.
Downloads 546
Release Time : 3/4/2024

Model Overview

SegmentNT is a segmentation model for DNA foundation models, capable of predicting the positions of 14 different types of genomic elements, including genes and regulatory elements, on human genomic input sequences up to 30kb in length.

Model Features

High-resolution segmentation
Capable of predicting the positions of genomic elements at single nucleotide resolution
Long sequence processing
Can process DNA sequences up to 30kb in length and can be extended to 50kb
Multi-element prediction
Can predict 14 different types of genomic elements, including genes and regulatory elements

Model Capabilities

DNA sequence segmentation
Genomic element prediction
Long sequence processing

Use Cases

Genomics research
Gene structure prediction
Predict gene structure elements such as protein-coding genes and non-coding RNAs
High-precision single nucleotide resolution prediction
Regulatory element identification
Identify regulatory elements such as promoters and enhancers
Can distinguish between tissue-specific and tissue-invariant regulatory elements
Featured Recommended AI Models
AIbase
Empowering the Future, Your AI Solution Knowledge Base
© 2025AIbase