Hagai Kariti

Recruitment of transcriptional effectors by Cas9 creates cis regulatory elements and demonstrates distance-dependent transcriptional regulation

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.

Fast Low-Input Efficient Hi-C

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

Large-scale manipulation of radial positioning does not affect most aspects of genome organization

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

KMD clustering: Robust general-purpose clustering of biological data

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

Hypothesis-driven probabilistic modelling enables a principled perspective of genomic compartments

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