Nature Methods· 2026Q1
Tangermeme: a toolkit for understanding cis-regulatory logic using deep learning models
- 15citations
- Q1SCImago
- 2026year
Short summary
Tangermeme is a new toolkit designed to extract human-interpretable insights from deep learning models used in genomics.
AI-generated from the title and abstract; the full text is not read.
Key points
- Tangermeme is a toolkit for analyzing deep learning models in genomics.
- It focuses on 'everything-but-the-model' aspects of genomic deep learning.
- The toolkit facilitates the extraction of human-interpretable cis-regulatory patterns.
- It aims to enhance biological discovery from predictive genomic models.
AI-generated from the title and abstract; the full text is not read.
Abstract
Deep learning models have achieved state-of-the-art performance at predicting diverse genomic modalities, yet their promise for biological discovery lies in how they are used after demonstrating their predictive performance. Here we describe the functionality of tangermeme, a highly optimized toolkit for 'everything-but-the-model' when it comes to genomic deep learning, and demonstrate how tangermeme can be used to distill the learned cis-regulatory patterns from models into human-interpretable insights.
The authors' abstract, as published at the source. Nature Methods, 2026 · DOI ↗
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Field: Molecular Biology
Molecular BiologyBiochemistry, Genetics and Molecular Biology