Evidence map›Paper›PMID 22183609›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2012

Quantitative analysis of genome-wide chromatin remodeling.

Songjoon Baek, Myong-Hee Sung, Gordon L Hager

Abstract read
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

24 citing papers in PubMed.

  1. Article
  2. Article
  3. Computational Methods for Assessing Chromatin Hierarchy.Computational and structural biotechnology journal · 2018
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
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  10. Article
  11. Genome-Scale Analysis of Cell-Specific Regulatory Codes Using Nuclear Enzymes.Methods in molecular biology (Clifton, N.J.) · 2016
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Songjoon BaekLaboratory of Receptor Biology and Gene Expression, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
Myong-Hee Sung
Gordon L Hager

Funding

Chromatin Structure and Gene ExpressionZIABC005450 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI HAGER, GORDON L · 2009 to 2025
$35.2M
CHROMATIN STRUCTURE AND GENE EXPRESSIONZ01BC005450 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI HAGER, GORDON · 1996 to 2008
$1.7M
Intramural NIH HHS Z01 BC005450
6 · The paper itself

Abstract

Recent high-throughput sequencing technologies have opened the door for genome-wide characterization of chromatin features at an unprecedented resolution. Chromatin accessibility is an important property that regulates protein binding and other nuclear processes. Here, we describe computational methods to analyze chromatin accessibility using DNaseI hypersensitivity by sequencing (DNaseI-seq). Although there are numerous bioinformatic tools to analyze ChIP-seq data, our statistical algorithm was developed specifically to identify significantly accessible genomic regions by handling features of DNaseI hypersensitivity. Without prior knowledge of relevant protein factors, one can discover genome-wide chromatin remodeling events associated with specific conditions or differentiation stages from quantitative analysis of DNaseI hypersensitivity. By performing appropriate subsequent computational analyses on a select subset of remodeled sites, it is also possible to extract information about putative factors that may bind to specific DNA elements within DNaseI hypersensitive sites. These approaches enabled by DNaseI-seq represent a powerful new methodology that reveals mechanisms of transcriptional regulation.

Indexed as

AlgorithmsBase SequenceChromatin Assembly and DisassemblyDNA FootprintingGenomeGenomicsHigh-Throughput Nucleotide SequencingHumansInternetMolecular Sequence AnnotationSoftwareStatistics as Topic

Identifiers

PMID22183609
PMCPMC6391053

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

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.