Evidence map›Paper›PMID 26926434›Full record

ArticleNature structural & molecular biology2016

An interactive environment for agile analysis and visualization of ChIP-sequencing data.

Mads Lerdrup, Jens Vilstrup Johansen, Shuchi Agrawal-Singh, Klaus Hansen

Abstract read
PubMed Publisher
In one paragraph

Article in Nature structural & molecular biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 168 papers.

0numbers the graph read from it
0cells of the map it votes in
168citing papers in PubMed
14.8field-weighted citation impact, top 1% of its field
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

168 citing papers in PubMed, 318 citations in OpenAlex.

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  18. MIG-6 Plays a Critical Role as a PGR Mediator in Maintaining Epithelial and Stromal Cells for Uterine Receptivity.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2025
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108 more citing papers are in PubMed but not listed here.

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

4 authors at 1 institution in 1 country.

Mads LerdrupBiotech Research and Innovation Centre (BRIC), University of Copenhagen, Copenhagen, Denmark.
Jens Vilstrup JohansenBiotech Research and Innovation Centre (BRIC), University of Copenhagen, Copenhagen, Denmark.
Shuchi Agrawal-SinghBiotech Research and Innovation Centre (BRIC), University of Copenhagen, Copenhagen, Denmark.
Klaus HansenBiotech Research and Innovation Centre (BRIC), University of Copenhagen, Copenhagen, Denmark.
University of Copenhagen · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To empower experimentalists with a means for fast and comprehensive chromatin immunoprecipitation sequencing (ChIP-seq) data analyses, we introduce an integrated computational environment, EaSeq. The software combines the exploratory power of genome browsers with an extensive set of interactive and user-friendly tools for genome-wide abstraction and visualization. It enables experimentalists to easily extract information and generate hypotheses from their own data and public genome-wide datasets. For demonstration purposes, we performed meta-analyses of public Polycomb ChIP-seq data and established a new screening approach to analyze more than 900 datasets from mouse embryonic stem cells for factors potentially associated with Polycomb recruitment. EaSeq, which is freely available and works on a standard personal computer, can substantially increase the throughput of many analysis workflows, facilitate transparency and reproducibility by automatically documenting and organizing analyses, and enable a broader group of scientists to gain insights from ChIP-seq data.

Indexed as

SoftwareAnimalsChromatin ImmunoprecipitationGenomeMicePolycomb-Group ProteinsPolycomb-Group Proteins

Identifiers

PMID26926434
OpenAlexW2298612765

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.