Alon Galor

The paper identifies mutational signatures SBS26 and SBS54 in MMRD tumors that correlate with immune checkpoint blockade response and survival, suggesting their use as prognostic biomarkers.

The paper compares somatic mutation rates in neurons and oligodendrocytes across aging human brains, finding faster mutation accumulation in oligodendrocytes and distinct genomic distribution patterns.

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.

The paper introduces PTA for single-cell DNA sequencing and SCAN2 to detect somatic SNVs and indels in single neurons, finding age-related increases in both with indels having greater functional impact.

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.

The paper introduces LiRA, a method to distinguish true mutations from artifacts in single-cell DNA sequencing data by phasing somatic variants with germline variants.