Yanmei Dou

The paper develops BayesMonSTR to detect mosaic STR mutations at single-cell resolution and finds increased STR indels in aging cells, particularly in prefrontal cortex neurons.

BulkMonSTR detects mosaic STR mutations in bulk sequencing data with improved precision and F1 scores compared to existing methods.

SpaceTracer detects somatic SNVs from spatial transcriptomics data to enable lineage tracing in human tissues, revealing tumor progression and immune cell migration.

PhyloSOLID improves phylogenetic reconstruction from single-cell data by addressing error and sparsity, achieving better accuracy than existing methods.

The paper uses somatic mutations to analyze lineage divergence in human cortical regions, finding late divergence of neuronal cell types and regional inhomogeneities in progenitor proliferation.

DeepMosaic detects mosaic single nucleotide variants without control samples using deep convolutional neural networks, achieving high accuracy and uncovering many variants missed by existing methods.

The paper evaluates brain somatic mosaicism in the adult human to identify rules governing cellular distribution during embryogenesis.

This study identifies somatic SNVs in non-cancerous human brain tissues and establishes best practices for detecting low-frequency variants.

The paper introduces a machine learning method to detect somatic L1 insertions in human brain tissue, revealing their widespread distribution in neurons and glia and potential role in neuropsychiatric diseases.

PRDD-seq simultaneously reconstructs cell type, lineage, and birthdate in human brain tissue by analyzing RNA and DNA mutations in single cells.

MosaicBase is a database of postzygotic mosaic variants in noncancer diseases and asymptomatic individuals, revealing distinct genomic features of disease-causing variants.

The paper analyzes somatic mutations in autistic and control brains, finding higher mutation rates in ASD brains, particularly in enhancer regions.