Evidence map›Paper›PMID 24213601›Full record

ArticleMolecules and cells2013

EPITRANS: a database that integrates epigenome and transcriptome data.

Soo Young Cho, Jin Choul Chai, Soo Jun Park, Hyemyung Seo, Chae-Bong Sohn, Young Seek Lee

Abstract read
In one paragraph

Article in Molecules and cells, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. EpiFactors: a comprehensive database of human epigenetic factors and complexes.Database : the journal of biological databases and curation · 2015
    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

6 authors.

Soo Young ChoLaboratory of Developmental Biology and Genomics, College of Veterinary Medicine, Research Institute for Veterinary Science, Brain Korea 21 Program for Veterinary Science, Seoul, Korea.
Jin Choul Chai
Soo Jun Park
Hyemyung Seo
Chae-Bong Sohn
Young Seek Lee

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Epigenetic modifications affect gene expression and thereby govern a wide range of biological processes such as differentiation, development and tumorigenesis. Recent initiatives to define genome-wide DNA methylation and histone modification profiles by microarray and sequencing methods have led to the construction of databases. These databases are repositories for international epigenetic consortiums or provide mining results from PubMed, but do not integrate the epigenetic information with gene expression changes. In order to overcome this limitation, we constructed EPITRANS, a novel database that visualizes the relationships between gene expression and epigenetic modifications. EPITRANS uses combined analysis of epigenetic modification and gene expression to search for cell function-related epigenetic and transcriptomic alterations (Freely available on the web at http://epitrans.org ).

Indexed as

Databases, GeneticEpigenesis, GeneticTranscriptomeAlgorithmsDNA MethylationGene ExpressionGenomeHistonesHumansInternetOligonucleotide Array Sequence AnalysisSequence Analysis, DNAHistones

Identifiers

PMID24213601
PMCPMC3887936

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.