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FISHnet: Detecting chromatin domains in single-cell sequential Oligopaints imaging data.
Patel, Rohan; Pham, Kenneth; Chandrashekar, Harshini; Phillips-Cremins, Jennifer E.
Afiliação
  • Patel R; Department of Bioengineering, University of Pennsylvania, Philadelphia, PA.
  • Pham K; Epigenetics Institute, Perelman School of Medicine, University of Pennsylvania.
  • Chandrashekar H; Department of Genetics, Perelman School of Medicine, University of Pennsylvania.
  • Phillips-Cremins JE; Department of Bioengineering, University of Pennsylvania, Philadelphia, PA.
bioRxiv ; 2024 Jun 18.
Article em En | MEDLINE | ID: mdl-38948824
ABSTRACT
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.

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article