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Segment Nt Multi Species

Developed by InstaDeepAI
SegmentNT-multi-species is a segmentation model based on the Nucleotide Transformer, designed to predict the locations of various genomic elements at single-nucleotide resolution.
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Release Time : 3/5/2024

Model Overview

This model is fine-tuned from the SegmentNT model using genomic datasets from humans and five selected species (mouse, chicken, fruit fly, zebrafish, and nematode), enabling it to predict the locations of seven major genomic elements.

Model Features

Multi-species support
Supports genomic analysis for humans and five other species (mouse, chicken, fruit fly, zebrafish, and nematode).
High-resolution segmentation
Capable of predicting genomic element locations at single-nucleotide resolution.
Efficient training
Fine-tuned for 3 days on DGXH100 nodes using 8 GPUs, processing a total of 8 billion tokens.

Model Capabilities

Genomic element prediction
DNA sequence analysis
Multi-species genomic segmentation

Use Cases

Genomic research
Genomic element localization
Predicts the locations of gene elements such as exons and introns in DNA sequences.
Accurately identifies the locations of seven major gene elements.
Cross-species comparison
Analyzes similarities and differences in genomic elements across different species.
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