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DeepChopper: Removing Chimeras in Nanopore Direct RNA Sequencing
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DeepChopper: Removing Chimeras in Nanopore Direct RNA Sequencing

·54 words·1 min· ·
Bioinformatics Machine Learning Deep Learning Nanopore Language Model Adapter Trimming
Yangyang Li
Author
Yangyang Li
PhD Candidate at Northwestern University

DeepChopper is a genomic language model built on HyenaDNA that identifies and removes adapter-bridged chimera artifacts in nanopore direct RNA sequencing data. It is described in the paper Genomic Language Model Mitigates Chimera Artifacts in Nanopore Direct RNA Sequencing.

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ylab-hi/DeepChopper

Genomic Language Model Mitigates Chimera Artifacts in Nanopore Direct RNA Sequencing

Rust
9
1

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