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Single-neuron sequencing analysis of L1 retrotransposition and somatic mutation in the human brain.
Single-cell, genome-wide sequencing identifies clonal somatic copy-number variation in the human brain.
Single-cell analysis reveals transcriptional heterogeneity of neural progenitors in human cortex.
Somatic mutation in single human neurons tracks developmental and transcriptional history.
Resolving rates of mutation in the brain using single-neuron genomics.
Building a lineage from single cells: genetic techniques for cell lineage tracking.
PaSD-qc: quality control for single cell whole-genome sequencing data using power spectral density estimation.
Aging and neurodegeneration are associated with increased mutations in single human neurons.
Linked-read analysis identifies mutations in single-cell DNA-sequencing data.
Genome aging: somatic mutation in the brain links age-related decline with disease and nominates pathogenic mechanisms.
Accurate detection of mosaic variants in sequencing data without matched controls.
Parallel RNA and DNA analysis after deep sequencing (PRDD-seq) reveals cell type-specific lineage patterns in human brain.
Single Cell Analysis