Quantitative analysis of ChIP-seq data uncovers dynamic and sustained H3K4me3 and H3K27me3 modulation in cancer cells under hypoxia
Published 2016 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Quantitative analysis of ChIP-seq data uncovers dynamic and sustained H3K4me3 and H3K27me3 modulation in cancer cells under hypoxia
Authors
Keywords
Epigenomics, Transcriptomics, Data normalization, ChIP-sequencing, H3K4me3, H3K27me3, Hypoxia, MCF7
Journal
Epigenetics & Chromatin
Volume 9, Issue 1, Pages -
Publisher
Springer Nature
Online
2016-11-02
DOI
10.1186/s13072-016-0090-4
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Hypoxia increases genome-wide bivalent epigenetic marking by specific gain of H3K27me3
- (2016) Peggy Prickaerts et al. Epigenetics & Chromatin
- Epigenetic profiles signify cell fate plasticity in unipotent spermatogonial stem and progenitor cells
- (2016) Ying Liu et al. Nature Communications
- Is this the right normalization? A diagnostic tool for ChIP-seq normalization
- (2015) Claudia Angelini et al. BMC BIOINFORMATICS
- The Overlooked Fact: Fundamental Need for Spike-In Control for Virtually All Genome-Wide Analyses
- (2015) Kaifu Chen et al. MOLECULAR AND CELLULAR BIOLOGY
- Integrative analysis of histone ChIP-seq and transcription data using Bayesian mixture models
- (2014) Hans-Ulrich Klein et al. BIOINFORMATICS
- Quantifying ChIP-seq data: a spiking method providing an internal reference for sample-to-sample normalization
- (2014) N. Bonhoure et al. GENOME RESEARCH
- Quantitative ChIP-Seq Normalization Reveals Global Modulation of the Epigenome
- (2014) David A. Orlando et al. Cell Reports
- Cancer genomics identifies disrupted epigenetic genes
- (2013) Laia Simó-Riudalbas et al. HUMAN GENETICS
- Normalization of ChIP-seq data with control
- (2012) Kun Liang et al. BMC BIOINFORMATICS
- Cancer epigenomics: beyond genomics
- (2012) Juan Sandoval et al. CURRENT OPINION IN GENETICS & DEVELOPMENT
- DIME: R-package for identifying differential ChIP-seq based on an ensemble of mixture models
- (2011) C. Taslim et al. BIOINFORMATICS
- An interspecies analysis reveals a key role for unmethylated CpG dinucleotides in vertebrate Polycomb complex recruitment
- (2011) Magnus D Lynch et al. EMBO JOURNAL
- Mapping and analysis of chromatin state dynamics in nine human cell types
- (2011) Jason Ernst et al. NATURE
- ChIP-seq analysis reveals distinct H3K27me3 profiles that correlate with transcriptional activity
- (2011) Matthew D. Young et al. NUCLEIC ACIDS RESEARCH
- Efficiently identifying genome-wide changes with next-generation sequencing data
- (2011) Weichun Huang et al. NUCLEIC ACIDS RESEARCH
- Systematic bias in high-throughput sequencing data and its correction by BEADS
- (2011) Ming-Sin Cheung et al. NUCLEIC ACIDS RESEARCH
- ChIP-seq Analysis in R (CSAR): An R package for the statistical detection of protein-bound genomic regions
- (2011) Jose M Muiño et al. Plant Methods
- An Integrated Pipeline for the Genome-Wide Analysis of Transcription Factor Binding Sites from ChIP-Seq
- (2011) Eloi Mercier et al. PLoS One
- Comparison of Four ChIP-Seq Analytical Algorithms Using Rice Endosperm H3K27 Trimethylation Profiling Data
- (2011) Brandon M. Malone et al. PLoS One
- Generation of bivalent chromatin domains during cell fate decisions
- (2011) Marco De Gobbi et al. Epigenetics & Chromatin
- Estimating enrichment of repetitive elements from high-throughput sequence data
- (2010) Daniel S Day et al. GENOME BIOLOGY
- Determination of enriched histone modifications in non-genic portions of the human genome
- (2009) Jeffrey A Rosenfeld et al. BMC GENOMICS
- Next-generation DNA sequencing of paired-end tags (PET) for transcriptome and genome analyses
- (2009) M. J. Fullwood et al. GENOME RESEARCH
- PeakSeq enables systematic scoring of ChIP-seq experiments relative to controls
- (2009) Joel Rozowsky et al. NATURE BIOTECHNOLOGY
- ChIP–seq: advantages and challenges of a maturing technology
- (2009) Peter J. Park NATURE REVIEWS GENETICS
- FindPeaks 3.1: a tool for identifying areas of enrichment from massively parallel short-read sequencing technology
- (2008) A. P. Fejes et al. BIOINFORMATICS
- Global Rank-invariant Set Normalization (GRSN) to reduce systematic distortions in microarray data
- (2008) Carl R Pelz et al. BMC BIOINFORMATICS
- Empirical methods for controlling false positives and estimating confidence in ChIP-Seq peaks
- (2008) David A Nix et al. BMC BIOINFORMATICS
- Stem cell regulation by polycomb repressors: postponing commitment
- (2008) Alexandra M Pietersen et al. CURRENT OPINION IN CELL BIOLOGY
- Design and analysis of ChIP-seq experiments for DNA-binding proteins
- (2008) Peter V Kharchenko et al. NATURE BIOTECHNOLOGY
- Genomewide Analysis of PRC1 and PRC2 Occupancy Identifies Two Classes of Bivalent Domains
- (2008) Manching Ku et al. PLoS Genetics
- Model-based Analysis of ChIP-Seq (MACS)
- (2008) Yong Zhang et al. GENOME BIOLOGY
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now