ArticleGenome biology2011
MM-ChIP enables integrative analysis of cross-platform and between-laboratory ChIP-chip or ChIP-seq data.
Article in Genome biology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed.
- Integrated transcriptomic and epigenetic data analysis identifiesaberrant expression of genes in acute myeloid leukemia with MLL‑AF9 translocation.Molecular medicine reports · 2020Article
- Genome-wide comparison of PU.1 and Spi-B binding sites in a mouse B lymphoma cell line.BMC genomics · 2015Article
- Leveraging biological replicates to improve analysis in ChIP-seq experiments.Computational and structural biotechnology journal · 2014Article
- Joint analysis of expression profiles from multiple cancers improves the identification of microRNA-gene interactions.Bioinformatics (Oxford, England) · 2013Article
- Unifying model for molecular determinants of the preselection Vβ repertoire.Proceedings of the National Academy of Sciences of the United States of America · 2013Article
- jMOSAiCS: joint analysis of multiple ChIP-seq datasets.Genome biology · 2013Article
- Differential principal component analysis of ChIP-seq.Proceedings of the National Academy of Sciences of the United States of America · 2013Article
- Computational methodology for ChIP-seq analysis.Quantitative biology (Beijing, China) · 2013Article
- A comprehensive view of nuclear receptor cancer cistromes.Cancer research · 2011Article
- Cistrome: an integrative platform for transcriptional regulation studies.Genome biology · 2011Article
- An integrated ChIP-seq analysis platform with customizable workflows.BMC bioinformatics · 2011Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
The ChIP-chip and ChIP-seq techniques enable genome-wide mapping of in vivo protein-DNA interactions and chromatin states. The cross-platform and between-laboratory variation poses a challenge to the comparison and integration of results from different ChIP experiments. We describe a novel method, MM-ChIP, which integrates information from cross-platform and between-laboratory ChIP-chip or ChIP-seq datasets. It improves both the sensitivity and the specificity of detecting ChIP-enriched regions, and is a useful meta-analysis tool for driving discoveries from multiple data sources.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.