Reconstruction of contact signals from repeated elements with Hicberg.

Hicberg accurately infers missing 3D contacts of repetitive elements from paired omic data, revealing their spatial organization in genomes.

• Why it matters: Repetitive elements like transposons and tandem repeats complicate genome mapping and understanding of genome architecture, creating a gap in current sequencing analysis.
• What they did: The algorithm Hicberg uses statistical inference and probability distribution computation to leverage reads typically discarded by standard pipelines, applied to Hi-C data.
• The result: Hicberg uncovers the positioning of molecular motors associated with transposons in yeast, highlighting the importance of integrating repetitive elements into genome spatial organization studies.