Cytosine DNA methylation is essential in brain development and is implicated in various
neurological disorders. Understanding DNA methylation diversity across the entire brain in a …

Complex networks are frequently employed to model physical or virtual complex systems.
When certain entities exist across multiple systems simultaneously, unveiling their …

Over the last decade, biology has begun utilizing 'big data'approaches, resulting in large,
comprehensive atlases in modalities ranging from transcriptomics to neural connectomics …

Combinations of transcription factors govern the identity of cell types, which is reflected by
genomic enhancer codes. We used deep learning to characterize these enhancer codes …

The mammalian cortex is comprised of cells classified into types according to shared
properties. Defining the contribution of each cell type to the processes guided by the cortex …

Mutations reducing the function of MYT1L, a neuron-specific transcription factor, are
associated with a syndromic neurodevelopmental disorder. MYT1L is used as a pro-neural …

Transcriptional regulation in response to diverse physiological cues involves complicated
biological processes. Recent initiatives that leverage whole genome sequencing and …

Single-cell multi-omics sequencing is a powerful approach to analyze complex mechanisms
underlying neuronal development and regeneration. However, current methods lack the …

Single-cell methods to assess DNA methylation have not achieved the same level of cell
throughput per experiment compared to other modalities, with large-scale datasets requiring …

Abstract Background Transcription factors (TFs) bind to different parts of the genome in
different types of cells, but it is usually assumed that the inherent DNA-binding preferences …