染色质
计算机科学
计算生物学
生物
DNA
遗传学
作者
Rohan Patel,Kenneth Pham,Harshini Chandrashekar,Jennifer E. Phillips‐Cremins
出处
期刊:
[Cold Spring Harbor Laboratory]
日期:2024-06-18
标识
DOI:10.1101/2024.06.18.599627
摘要
Sequential Oligopaints DNA FISH is an imaging technique that measures higher-order genome folding at single-allele resolution via multiplexed, probe-based tracing. Currently there is a paucity of algorithms to identify 3D genome features in sequential Oligopaints data. Here, we present FISHnet, a graph theory method based on optimization of network modularity to detect chromatin domains and boundaries in pairwise distance matrices. FISHnet uncovers cell type-specific domain-like folding patterns on single alleles, thus enabling future studies aiming to elucidate the role for single-cell folding variation on genome function.
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