2020
DOI: 10.1186/s13059-020-02061-9
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3DeFDR: statistical methods for identifying cell type-specific looping interactions in 5C and Hi-C data

Abstract: An important unanswered question in chromatin biology is the extent to which long-range looping interactions change across developmental models, genetic perturbations, drug treatments, and disease states. Computational tools for rigorous assessment of cell type-specific loops across multiple biological conditions are needed. We present 3DeFDR, a simple and effective statistical tool for classifying dynamic loops across biological conditions from Chromosome-Conformation-Capture-Carbon-Copy (5C) and Hi-C data. O… Show more

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Cited by 16 publications
(11 citation statements)
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References 72 publications
(120 reference statements)
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“…To quantify the link between TAD/subTAD boundaries and IZ genomic placement, we identified a total of 23,851 chromatin domains genome-wide in Hi-C data for human ES cells using our graph-theory-based method 3DNetMod 20 ( Supplementary Methods and Supplementary Table 1 ). We also applied statistical methods developed by our laboratory and others to identify dot-like structures representative of bona fide looping interactions 8 , 21 , 22 . We identified 16,922 dots genome wide in ensemble Hi-C maps of human ES cells.…”
Section: Mainmentioning
confidence: 99%
“…To quantify the link between TAD/subTAD boundaries and IZ genomic placement, we identified a total of 23,851 chromatin domains genome-wide in Hi-C data for human ES cells using our graph-theory-based method 3DNetMod 20 ( Supplementary Methods and Supplementary Table 1 ). We also applied statistical methods developed by our laboratory and others to identify dot-like structures representative of bona fide looping interactions 8 , 21 , 22 . We identified 16,922 dots genome wide in ensemble Hi-C maps of human ES cells.…”
Section: Mainmentioning
confidence: 99%
“…5C Interaction Analysis. 5C analysis steps were performed as described (Gilgenast et al, 2019;Fernandez et al, 2020). Briefly, paired-end reads were aligned to the 5C primer pseudo-genome using Bowtie, allowing only reads with one unique alignment to pass filtering.…”
Section: Rnaseq Analysismentioning
confidence: 99%
“…Compartment A, enriched for transcriptionally active genes, and compartment B, enriched for transcriptionally inactive genes and gene deserts, correspond closely with the iLADs and LADs, respectively, identified by DamID (van Steensel and Belmont 2017). Hi-C topological maps have been further partitioned into sub-compartments, Topological Associated Domains (TADs), and looped-domains, with and without CTCF-anchors (Nora et al 2012; Dixon et al 2012; Rao et al 2014; Fernandez et al 2020).…”
Section: Resultsmentioning
confidence: 99%