TopDom: an efficient and deterministic method for identifying topological domains in genomes.

Area of Science:

• Genomics
• Molecular Biology
• Bioinformatics

Background:

• Genome-wide proximity ligation assays reveal chromatin contacts at high resolution.
• Mammalian chromosomes contain conserved topological domains (TDs) crucial for spatial genome organization.
• Current TD identification methods are computationally intensive and yield inconsistent results.

Purpose of the Study:

• To develop an efficient and deterministic method for identifying topological domains.
• To provide statistical tools for evaluating the quality of identified TDs.
• To analyze the conservation and functional implications of TDs.

Main Methods:

• Proposed TopDom, an efficient and deterministic algorithm for TD identification.
• Implemented statistical methods for TD quality assessment.
• Compared TopDom with existing algorithms, such as the directional index.

Main Results:

• TopDom significantly outperforms existing methods in efficiency and result consistency.
• TopDom identifies more and higher quality TDs compared to the directional index algorithm.
• Identified TDs show strong cross-tissue conservation, with housekeeping genes located within conserved domains.

Conclusions:

• TopDom offers an efficient and reliable approach for topological domain identification.
• The findings support the conservation of TDs across different tissues and species.
• The association of housekeeping genes with conserved TDs provides insights into genome function and regulation.