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Binless normalization of Hi-C data provides significant interaction and difference detection independently of resolution
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1016/j.csda.2004.10.011openalex-snapshot
Generalized structured additive regression based on Bayesian P-splines
inferredcites →https://doi.org/10.1016/j.molcel.2010.05.004openalex-snapshot
Simple Combinations of Lineage-Determining Transcription Factors Prime cis-Regulatory Elements Required for Macrophage and B Cell Identities
inferredcites →https://doi.org/10.1038/nature11082openalex-snapshot
Topological domains in mammalian genomes identified by analysis of chromatin interactions
inferredcites →https://doi.org/10.1038/nature14450openalex-snapshot
Condensin-driven remodelling of X chromosome topology during dosage compensation
inferredcites →https://doi.org/10.1038/ng.3286openalex-snapshot
Mapping long-range promoter contacts in human cells with high-resolution capture Hi-C
inferredcites →https://doi.org/10.1038/nmeth.2148openalex-snapshot
Iterative correction of Hi-C data reveals hallmarks of chromosome organization
inferredcites →https://doi.org/10.1038/nrm.2016.104openalex-snapshot
Genome-wide mapping and analysis of chromosome architecture
inferredcites →https://doi.org/10.1093/bioinformatics/bts521openalex-snapshot
HiTC: exploration of high-throughput ‘C’ experiments
inferredcites →https://doi.org/10.1093/bioinformatics/bts570openalex-snapshot
HiCNorm: removing biases in Hi-C data via Poisson regression
inferredcites →https://doi.org/10.1093/bioinformatics/btu443openalex-snapshot
Two-dimensional segmentation for analyzing Hi-C data
inferredcites →https://doi.org/10.1093/bioinformatics/btu747openalex-snapshot
Hi-Corrector: a fast, scalable and memory-efficient package for normalizing large-scale Hi-C data
inferredcites →https://doi.org/10.1093/bioinformatics/btv650openalex-snapshot
A hidden Markov random field-based Bayesian method for the detection of long-range chromosomal interactions in Hi-C data
inferredcites →https://doi.org/10.1101/020636openalex-snapshot
Hi-Cpipe: a pipeline for high-throughput chromosome capture
inferredcites →https://doi.org/10.1101/036764openalex-snapshot
Structural features of the fly chromatin colors revealed by automatic three-dimensional modeling
inferredcites →https://doi.org/10.1101/gr.160374.113openalex-snapshot
Statistical confidence estimation for Hi-C data reveals regulatory chromatin contacts
inferredcites →https://doi.org/10.1101/gr.185272.114openalex-snapshot
The pluripotent regulatory circuitry connecting promoters to their long-range interacting elements
inferredcites →https://doi.org/10.1111/j.1467-9868.2005.00490.xopenalex-snapshot
Sparsity and Smoothness Via the Fused Lasso
inferredcites →https://doi.org/10.1126/science.1067799openalex-snapshot
Capturing Chromosome Conformation
inferredcites →https://doi.org/10.1126/science.1140516openalex-snapshot
Signals from chloroplasts converge to regulate nuclear gene expression.
inferredcites →https://doi.org/10.1126/science.1181369openalex-snapshot
Comprehensive Mapping of Long-Range Interactions Reveals Folding Principles of the Human Genome
inferredcites →https://doi.org/10.1186/1748-7188-9-14openalex-snapshot
Identification of alternative topological domains in chromatin
inferredcites →https://doi.org/10.1186/s12859-015-0683-0openalex-snapshot
diffHic: a Bioconductor package to detect differential genomic interactions in Hi-C data
inferredcites →https://doi.org/10.1186/s13059-015-0806-yopenalex-snapshot
HiFive: a tool suite for easy and efficient HiC and 5C data analysis
inferredcites →https://doi.org/10.1186/s13059-015-0831-xopenalex-snapshot
HiC-Pro: an optimized and flexible pipeline for Hi-C data processing
inferredcites →https://doi.org/10.1198/jcgs.2010.09208openalex-snapshot
A Path Algorithm for the Fused Lasso Signal Approximator
inferredcites →https://doi.org/10.1214/06-ba117aopenalex-snapshot
Prior distributions for variance parameters in hierarchical models (comment on article by Browne and Draper)
inferredcites →https://doi.org/10.1214/ss/1038425655openalex-snapshot
Flexible smoothing with B-splines and penalties
inferredcites →https://doi.org/10.12688/f1000research.7334.1openalex-snapshot
HiCUP: pipeline for mapping and processing Hi-C data
inferredcites →https://doi.org/10.1609/aaai.v28i1.8977openalex-snapshot
Efficient Generalized Fused Lasso and its Application to the Diagnosis of Alzheimer’s Disease
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/s12551-018-0489-1openalex-snapshot
Hi-C analysis: from data generation to integration
inferred← citeshttps://doi.org/10.1016/j.copbio.2018.01.023openalex-snapshot
Computational methods for analyzing genome-wide chromosome conformation capture data
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