HiCNorm: removing biases in Hi-C data via Poisson regression
about
The second decade of 3C technologies: detailed insights into nuclear organizationAnalysis methods for studying the 3D architecture of the genomeHSA: integrating multi-track Hi-C data for genome-scale reconstruction of 3D chromatin structure.CHiCAGO: robust detection of DNA looping interactions in Capture Hi-C dataUnderstanding spatial organizations of chromosomes via statistical analysis of Hi-C dataStatistical confidence estimation for Hi-C data reveals regulatory chromatin contactsA 3D map of the human genome at kilobase resolution reveals principles of chromatin loopingThe sequencing bias relaxed characteristics of Hi-C derived data and implications for chromatin 3D modelingHi-Corrector: a fast, scalable and memory-efficient package for normalizing large-scale Hi-C data.Integrating multi-omic features exploiting Chromosome Conformation Capture data.HiCdat: a fast and easy-to-use Hi-C data analysis tool.Assembly and characterization of novel Alu inserts detected from next-generation sequencing dataHiFive: a tool suite for easy and efficient HiC and 5C data analysisHiC-Pro: an optimized and flexible pipeline for Hi-C data processing.Identifying and Reducing Systematic Errors in Chromosome Conformation Capture DataDiscovering hotspots in functional genomic data superposed on 3D chromatin configuration reconstructions.A computational strategy to adjust for copy number in tumor Hi-C data.Minute-Made Data Analysis: Tools for Rapid Interrogation of Hi-C Contacts.Statistical challenges in analyzing methylation and long-range chromosomal interaction dataHiC-bench: comprehensive and reproducible Hi-C data analysis designed for parameter exploration and benchmarking.Software tools for visualizing Hi-C data.Genome-wide mapping and analysis of chromosome architecture.Bayesian inference of spatial organizations of chromosomes.Distance-based assessment of the localization of functional annotations in 3D genome reconstructions.Estrogen induces global reorganization of chromatin structure in human breast cancer cellsNuChart: an R package to study gene spatial neighbourhoods with multi-omics annotations.Physical origin of the contact frequency in chromosome conformation capture data.The Hitchhiker's guide to Hi-C analysis: practical guidelines.Reconstruction of 3D genome architecture via a two-stage algorithm.Chromatin architecture reorganization during stem cell differentiation.Impact of data resolution on three-dimensional structure inference methods.Computational Identification of Genomic Features That Influence 3D Chromatin Domain FormationIC-Finder: inferring robustly the hierarchical organization of chromatin foldingHow best to identify chromosomal interactions: a comparison of approaches.GOTHiC, a probabilistic model to resolve complex biases and to identify real interactions in Hi-C dataAn integrated model for detecting significant chromatin interactions from high-resolution Hi-C data.Uncovering direct and indirect molecular determinants of chromatin loops using a computational integrative approach.A novel method for discovering local spatial clusters of genomic regions with functional relationships from DNA contact maps.Interactome-transcriptome analysis discovers signatures complementary to GWAS Loci of Type 2 DiabetesIn the loop: promoter-enhancer interactions and bioinformatics.
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HiCNorm: removing biases in Hi-C data via Poisson regression
description
2012 nî lūn-bûn
@nan
2012 թուականի Սեպտեմբերին հրատարակուած գիտական յօդուած
@hyw
2012 թվականի սեպտեմբերին հրատարակված գիտական հոդված
@hy
2012年の論文
@ja
2012年論文
@yue
2012年論文
@zh-hant
2012年論文
@zh-hk
2012年論文
@zh-mo
2012年論文
@zh-tw
2012年论文
@wuu
name
HiCNorm: removing biases in Hi-C data via Poisson regression
@ast
HiCNorm: removing biases in Hi-C data via Poisson regression
@en
type
label
HiCNorm: removing biases in Hi-C data via Poisson regression
@ast
HiCNorm: removing biases in Hi-C data via Poisson regression
@en
prefLabel
HiCNorm: removing biases in Hi-C data via Poisson regression
@ast
HiCNorm: removing biases in Hi-C data via Poisson regression
@en
P2093
P2860
P356
P1433
P1476
HiCNorm: removing biases in Hi-C data via Poisson regression
@en
P2093
Siddarth Selvaraj
P2860
P304
P356
10.1093/BIOINFORMATICS/BTS570
P407
P577
2012-09-27T00:00:00Z