Article

A deep learning framework for building INDEL mutation rate maps

2025-11-19

Abstract excerpt

Germline short insertions and deletions (INDELs) are pervasive genetic variants that shape genome evolution and contribute to human disease. However, accurately quantifying fine-scale INDEL mutation rates remains challenging due to data limitations and the diversity of INDEL subtypes. Here, we present MuRaL-indel, a deep learning framework that predicts germline INDEL mutation rates by leveraging long-range sequen...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 0b5de43a-73dd-5379-9c4a-07bd14a473a4
DOI: 10.1101/2025.11.18.689146

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

A deep learning framework for building INDEL mutation rate mapsDOI 10.1101/2025.11.18.689146Read

A generalizable deep learning framework for inferring fine-scale germline mutation rate mapsSemantic proximity Read

Extremely rare variants reveal patterns of germline mutation rate heterogeneity in humans.Semantic proximity Read

Extremely rare variants reveal patterns of germline mutation rate heterogeneity in humansSemantic proximity Read

Machine learning-based detection of insertions and deletions in the human genomeSemantic proximity Read

Machine learning-based prediction of human structural variation and characterization of associated sequence determinantsSemantic proximity Read

A pan-cancer landscape of somatic mutations in non-unique regions of the human genome.Semantic proximity Read

Predicting the effect of non-coding mutations on single-cell DNA methylation using deep learningSemantic proximity Read

MEIsensor: a deep-learning method for mobile element insertion discoverySemantic proximity Read

A pan-cancer landscape of somatic substitutions in non-unique regions of the human genomeSemantic proximity Read

MetaRNN: Differentiating Rare Pathogenic and Rare Benign Missense SNVs and InDels Using Deep LearningSemantic proximity Read

Direct estimation of de novo mutation rates in a chimpanzee parent-offspring trio by ultra-deep whole genome sequencing.Semantic proximity Read

Landscape of multi-nucleotide variants in 125,748 human exomes and 15,708 genomesSemantic proximity Read