Results 31 to 40 of about 41,584,039 (265)
FIREcaller: Detecting frequently interacting regions from Hi-C data
Computational and Structural Biotechnology Journal, 2021 Hi-C experiments have been widely adopted to study chromatin spatial organization, which plays an essential role in genome function. We have recently identified frequently interacting regions (FIREs) and found that they are closely associated with cell ...
Cheynna Crowley +11 more
doaj +1 more source
Software tools for visualizing Hi-C data [PDF]
Genome Biology, 2016 Abstract Recently developed, high-throughput assays for measuring the three-dimensional configuration of DNA in the nucleus have provided unprecedented insights into the relationship between DNA 3D configuration and function. However, accurate interpretation of data from assays such as ChIA-PET and Hi-C is challenging because the data ...
Galip Gürkan Yardımcı +1 more
openaire +2 more sources
Overcoming Artificial Structures in Resolution-Enhanced Hi-C Data by Signal Decomposition and Multi-Scale Attention. [PDF]
Adv Sci (Weinh)Deep‐learning‐based signal enhancement is an effective way to recover high‐resolution details from a low‐resolution chromatin contact map. However, due to computational challenges, existing methods commonly divide up the contact map into small patches and create artificial discontinuities at patch boundaries.
Li Q +6 more
europepmc +2 more sources
Motif-Hi-C: A motif-based framework for rapid quality control of Hi-C data. [PDF]
aBIOTECHKong D +7 more
europepmc +2 more sources
Detecting community structures in Hi-C genomic data [PDF]
2016 Annual Conference on Information Science and Systems (CISS), 2016 Community detection (CD) algorithms are applied to Hi-C data to discover new communities of loci in the 3D conformation of human and mouse DNA. We find that CD has some distinct advantages over pre-existing methods: (1) it is capable of finding a variable number of communities, (2) it can detect communities of DNA loci either adjacent or distant in the
Irineo Cabreros +2 more
openaire +2 more sources
Data for the HAdV55 RNA-seq and Hi-C
, 2023 Analysis data for the RNA-seq and Hi-C about adenovirus and A549 cells ...
Kaiying Wang (14583608)
core +1 more source
NeoHiC: A Web Application for the Analysis of Hi-C Data [PDF]
, 2020 High-throughput sequencing Chromosome Conformation Capture (Hi-C) allows the study of chromatin interactions and 3D chromosome folding on a larger scale. A graph-based multi-level representation of Hi-C data is essential for proper visualisation of the spatial pattern they represent, in particular for comparing different experiments or for re-mapping ...
D'Agostino D +3 more
openaire +8 more sources
Supplement_Material_1 Quality control of Hi-C data
, 2022 Quality control of Hi-C ...
Guofeng Meng (6159248)
core +1 more source
Computational Processing and Quality Control of Hi-C, Capture Hi-C and Capture-C Data [PDF]
Genes, 2019 Hi-C, capture Hi-C (CHC) and Capture-C have contributed greatly to our present understanding of the three-dimensional organization of genomes in the context of transcriptional regulation by characterizing the roles of topological associated domains, enhancer promoter loops and other three-dimensional genomic interactions.
Peter Hansen +6 more
openaire +4 more sources
, 2022 Additional file 3: Table S2. Topologically Associating Domains (TADs) identified from this study. (A) TAD statistics of Hi-C, Micro-C, and promoter capture Micro-C data.
Zexun Wu (15169523) +2 more
core +1 more source