Noam Kaplan

Micro-C-TALE provides a cost-effective method for high-resolution targeted chromatin interaction mapping with improved sensitivity and resolution compared to existing techniques.

This study identifies a CTCF-binding insulator element that regulates receptor editing and B-cell tolerance by controlling chromatin loop extrusion and Ig{lambda} development.

The paper shows that recruiting transcription factors to non-regulatory genomic sites can create enhancers or repressors, influencing gene expression at a distance with nonlinear dependence on site distance.

This study introduces MChIP-C, a method to measure chromatin interactions at single-nucleosome resolution, and supports the enhancer-promoter looping model using data from K562 cells and CRISPRi screens.

The paper introduces FLIE Hi-C, a streamlined Hi-C method that reduces time, reagent use, and input material while maintaining data quality.

The paper manipulates nuclear radial positioning using Prm1 expression and finds that genome organization remains largely robust to this change.

This study shows that CTCF-mediated 3D chromatin structure pre-establishes gene expression programs required for spermatogenesis by forming meiosis-specific super-enhancers and regulating chromatin loops.

KMD clustering provides a robust, general-purpose method for biological data by eliminating cryptic hyperparameters and achieving high performance across datasets.

The paper introduces a probabilistic model to interpret Hi-C data, showing it can explain interaction maps and reveal chromatin state properties.

The paper investigates mitotic bookmarking through histone modifications and nucleosome deposition patterns in human cells, showing that epigenomic landscapes and modified nucleosomes contribute to chromatin reestablishment after mitosis.

This paper identifies three invariant Hi-C interaction patterns and evaluates their consistency across species and cell types, suggesting they can improve Hi-C-based genome assembly.