ArticleGenome biology2012
MAnorm: a robust model for quantitative comparison of ChIP-Seq data sets.
Article in Genome biology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 281 papers.
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Who cites it
281 citing papers in PubMed.
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- Loss of KDM6A-mediated genomic instability and metabolic reprogramming regulates response to therapeutic perturbations in bladder cancer.Nature communications · 2026Article
- Multidimensional mapping of stimulation-responsive regulatory elements and candidate causal variants in T cell activation.Science advances · 2026Article
- The splicing factor PTBP1 interacts with RUNX1 and is required for leukemia cell survival.Leukemia · 2026Article
- RNA-binding proteins connect Exon usage to the chromatin.NAR genomics and bioinformatics · 2025Article
221 more citing papers are in PubMed but not listed here.
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Authors and funding
5 authors.
Funding
Abstract
ChIP-Seq is widely used to characterize genome-wide binding patterns of transcription factors and other chromatin-associated proteins. Although comparison of ChIP-Seq data sets is critical for understanding cell type-dependent and cell state-specific binding, and thus the study of cell-specific gene regulation, few quantitative approaches have been developed. Here, we present a simple and effective method, MAnorm, for quantitative comparison of ChIP-Seq data sets describing transcription factor binding sites and epigenetic modifications. The quantitative binding differences inferred by MAnorm showed strong correlation with both the changes in expression of target genes and the binding of cell type-specific regulators.
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