Cargando…

Correction: MaxHiC: A robust background correction model to identify biologically relevant chromatin interactions in Hi-C and capture Hi-C experiments

Detalles Bibliográficos
Autores principales:	Alinejad-Rokny, Hamid, Ghavami Modegh, Rassa, Rabiee, Hamid R., Ramezani Sarbandi, Ehsan, Rezaie, Narges, Tam, Kin Tung, Forrest, Alistair R. R.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Public Library of Science 2022
Materias:	Correction
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9462553/ https://www.ncbi.nlm.nih.gov/pubmed/36083878 http://dx.doi.org/10.1371/journal.pcbi.1010515

Ejemplares similares

MaxHiC: A robust background correction model to identify biologically relevant chromatin interactions in Hi-C and capture Hi-C experiments
por: Alinejad-Rokny, Hamid, et al.
Publicado: (2022)

MHiC, an integrated user-friendly tool for the identification and visualization of significant interactions in Hi-C data
por: Khakmardan, Saman, et al.
Publicado: (2020)

Seeing the forest through the trees: prioritising potentially functional interactions from Hi-C
por: Liu, Ning, et al.
Publicado: (2021)

HiCHap: a package to correct and analyze the diploid Hi-C data
por: Luo, Han, et al.
Publicado: (2020)

HiC-Pro: an optimized and flexible pipeline for Hi-C data processing
por: Servant, Nicolas, et al.
Publicado: (2015)

GrapHi-C: graph-based visualization of Hi-C datasets
por: MacKay, Kimberly, et al.
Publicado: (2018)

Galaxy HiCExplorer 3: a web server for reproducible Hi-C, capture Hi-C and single-cell Hi-C data analysis, quality control and visualization
por: Wolff, Joachim, et al.
Publicado: (2020)

HiCUP: pipeline for mapping and processing Hi-C data
por: Wingett, Steven, et al.
Publicado: (2015)

Loop detection using Hi-C data with HiCExplorer
por: Wolff, Joachim, et al.
Publicado: (2022)

HiC-DC+ enables systematic 3D interaction calls and differential analysis for Hi-C and HiChIP
por: Sahin, Merve, et al.
Publicado: (2021)

Computational Processing and Quality Control of Hi-C, Capture Hi-C and Capture-C Data
por: Hansen, Peter, et al.
Publicado: (2019)

dcHiC detects differential compartments across multiple Hi-C datasets
por: Chakraborty, Abhijit, et al.
Publicado: (2022)

DeepHiC: A generative adversarial network for enhancing Hi-C data resolution
por: Hong, Hao, et al.
Publicado: (2020)

FreeHi-C simulates high fidelity Hi-C data for benchmarking and data augmentation
por: Zheng, Ye, et al.
Publicado: (2019)

HiC4D: forecasting spatiotemporal Hi-C data with residual ConvLSTM
por: Liu, Tong, et al.
Publicado: (2023)

HiCcompare: an R-package for joint normalization and comparison of HI-C datasets
por: Stansfield, John C., et al.
Publicado: (2018)

HiCBricks: building blocks for efficient handling of large Hi-C datasets
por: Pal, Koustav, et al.
Publicado: (2020)

HiCancer: accurate and complete cancer genome phasing with Hi-C reads
por: Pan, Weihua, et al.
Publicado: (2021)

HiCRep.py: fast comparison of Hi-C contact matrices in Python
por: Lin, Dejun, et al.
Publicado: (2021)

HiCEnterprise: identifying long range chromosomal contacts in Hi-C data
por: Kranas, Hanna, et al.
Publicado: (2021)

HiCmapTools: a tool to access HiC contact maps
por: Chang, Jia-Ming, et al.
Publicado: (2022)

HiChIP and Hi-C Protocol Optimized for Primary Murine T Cells
por: Zelenka, Tomas, et al.
Publicado: (2021)

Iterative Correction of Hi-C Data Reveals Hallmarks of Chromosome Organization
por: Imakaev, Maxim, et al.
Publicado: (2012)

HiC-bench: comprehensive and reproducible Hi-C data analysis designed for parameter exploration and benchmarking
por: Lazaris, Charalampos, et al.
Publicado: (2017)

HiC-spector: a matrix library for spectral and reproducibility analysis of Hi-C contact maps
por: Yan, Koon-Kiu, et al.
Publicado: (2017)

HiFive: a tool suite for easy and efficient HiC and 5C data analysis
por: Sauria, Michael EG, et al.
Publicado: (2015)

Generative modeling of multi-mapping reads with mHi-C advances analysis of Hi-C studies
por: Zheng, Ye, et al.
Publicado: (2019)

covNorm: An R package for coverage based normalization of Hi-C and capture Hi-C data
por: Kim, Kyukwang, et al.
Publicado: (2021)

snHiC: a complete and simplified snakemake pipeline for grouped Hi-C data analysis
por: Gregoricchio, Sebastian, et al.
Publicado: (2023)

HiCdat: a fast and easy-to-use Hi-C data analysis tool
por: Schmid, Marc W., et al.
Publicado: (2015)

Enhancing Hi-C data resolution with deep convolutional neural network HiCPlus
por: Zhang, Yan, et al.
Publicado: (2018)

HiCeekR: A Novel Shiny App for Hi-C Data Analysis
por: Di Filippo, Lucio, et al.
Publicado: (2019)

HiCARN: resolution enhancement of Hi-C data using cascading residual networks
por: Hicks, Parker, et al.
Publicado: (2022)

A cookbook for DNase Hi-C
por: Gridina, Maria, et al.
Publicado: (2021)

The DLO Hi-C Tool for Digestion-Ligation-Only Hi-C Chromosome Conformation Capture Data Analysis
por: Hong, Ping, et al.
Publicado: (2020)

HiC-Hiker: a probabilistic model to determine contig orientation in chromosome-length scaffolds with Hi-C
por: Nakabayashi, Ryo, et al.
Publicado: (2020)

SnapHiC2: A computationally efficient loop caller for single cell Hi-C data
por: Li, Xiaoqi, et al.
Publicado: (2022)

HiView: an integrative genome browser to leverage Hi-C results for the interpretation of GWAS variants
por: Xu, Zheng, et al.
Publicado: (2016)

Modeling and analysis of Hi-C data by HiSIF identifies characteristic promoter-distal loops
por: Zhou, Yufan, et al.
Publicado: (2020)

scHiCTools: A computational toolbox for analyzing single-cell Hi-C data
por: Li, Xinjun, et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_0m6mn9asqlu0uf9cmrujql9iv2