Significance in scale space for Hi-C data. [PDF]
Abstract Motivation Hi-C technology has been developed to profile genome-wide chromosome conformation. So far Hi-C data have been generated from a large compendium of different cell types and different tissue types. Among different chromatin conformation units, chromatin loops were found to play a key
Liu R, Zhang Z, Won H, Marron JS.
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EmbedTAD Using Graph Embedding and Unsupervised Learning to Identify TADs from High-Resolution Hi-C Data. [PDF]
Chowdhury HMAM, Oluwadare O.
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HiC4D-SPOT: a spatiotemporal outlier detection tool for Hi-C data. [PDF]
Shrestha B, Wang Z.
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Integrated promoter-capture Hi-C and Hi-C analysis reveals fine-tuned regulation of the 3D chromatin architecture in colorectal cancer. [PDF]
Saw AK +4 more
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Can random walking on a Hi-C contact matrix lead to data quality improvement? An assessment. [PDF]
Liu Y, Lin S.
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Chromosome-level genome assembly of the Gerbera (Gerbera hybrida) using HiFi long-read and Hi-C technologies. [PDF]
Aoyagi YB +13 more
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Hi-C untangles the temporal dynamics of the children's gut resistome and mobilome, highlighting the role of transposable elements. [PDF]
Cifuentes SG +3 more
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MetaHiCNet: a web server for normalizing and visualizing microbial Hi-C interaction networks. [PDF]
Sun C, Qin Z, Liu R, Guo Y, Ge Y, Du Y.
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Joint analysis of sQTL and Hi-C reveals spatial proximity between sQTLs and target genes in cancer tissues. [PDF]
Eralp B, Sefer E.
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