FISHnet: Detecting chromatin domains in single-cell sequential Oligopaints imaging data.
Rohan PatelKenneth PhamHarshini ChandrashekarJennifer E Phillips-CreminsPublished in: bioRxiv : the preprint server for biology (2024)
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.
Keyphrases
- single molecule
- single cell
- genome wide
- rna seq
- high resolution
- living cells
- gene expression
- dna damage
- electronic health record
- molecular dynamics simulations
- transcription factor
- high throughput
- machine learning
- big data
- dna methylation
- quantum dots
- cell free
- circulating tumor
- data analysis
- mass spectrometry
- fluorescence imaging