ReviewMethods (San Diego, Calif.)2015
Assaying the epigenome in limited numbers of cells.
Review in Methods (San Diego, Calif.), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 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
13 citing papers in PubMed.
- Epigenetic regulation during human cortical development: Seq-ing answers from the brain to the organoid.Neurochemistry international · 2021Review
- Chromatin Landscapes of Human Lung Cells Predict Potentially Functional Chronic Obstructive Pulmonary Disease Genome-Wide Association Study Variants.American journal of respiratory cell and molecular biology · 2021Article
- Article
- What functional genomics has taught us about transcriptional regulation in malaria parasites.Briefings in functional genomics · 2019Review
- BiFET: sequencing Bias-free transcription factor Footprint Enrichment Test.Nucleic acids research · 2019Article
- Molecular definition of a metastatic lung cancer state reveals a targetable CD109-Janus kinase-Stat axis.Nature medicine · 2017Article
- Recent advances in ChIP-seq analysis: from quality management to whole-genome annotation.Briefings in bioinformatics · 2017Review
- Understanding the genetic liability to schizophrenia through the neuroepigenome.Schizophrenia research · 2016Review
- Modeling the causal regulatory network by integrating chromatin accessibility and transcriptome data.National science review · 2016Article
- DNA methylation, early life environment, and health outcomes.Pediatric research · 2016Review
- The Mendelian disorders of the epigenetic machinery.Genome research · 2015Article
- Making the case for chromatin profiling: a new tool to investigate the immune-regulatory landscape.Nature reviews. Immunology · 2015Review
- Unraveling the 3D genome: genomics tools for multiscale exploration.Trends in genetics : TIG · 2015Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
Abstract
Spectacular advances in the throughput of DNA sequencing have allowed genome-wide analysis of epigenetic features such as methylation, nucleosome position and post-translational modification, chromatin accessibility and connectivity, and transcription factor binding. However, for rare or precious biological samples, input requirements of many of these methods limit their application. In this review we discuss recent advances for low-input genome-wide analysis of chromatin immunoprecipitation, methylation, DNA accessibility, and chromatin conformation.
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.