Evidence map›Paper›PMID 25627242›Full record

ArticleDNA research : an international journal for rapid publication of reports on genes and genomes2015

Genome-wide study of correlations between genomic features and their relationship with the regulation of gene expression.

Yuri V Kravatsky, Vladimir R Chechetkin, Nikolai A Tchurikov, Galina I Kravatskaya

Open access · goldAbstract read
In one paragraph

Article in DNA research : an international journal for rapid publication of reports on genes and genomes, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

11 citing papers in PubMed, 18 citations in OpenAlex.

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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.

Yuri V KravatskyEngelhardt Institute of Molecular Biology of Russian Academy of Sciences, Moscow 119991, Russia jiri@eimb.ru.
Vladimir R ChechetkinEngelhardt Institute of Molecular Biology of Russian Academy of Sciences, Moscow 119991, Russia.
Nikolai A TchurikovEngelhardt Institute of Molecular Biology of Russian Academy of Sciences, Moscow 119991, Russia.
Galina I KravatskayaEngelhardt Institute of Molecular Biology of Russian Academy of Sciences, Moscow 119991, Russia.
Engelhardt Institute of Molecular Biology · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The broad class of tasks in genetics and epigenetics can be reduced to the study of various features that are distributed over the genome (genome tracks). The rapid and efficient processing of the huge amount of data stored in the genome-scale databases cannot be achieved without the software packages based on the analytical criteria. However, strong inhomogeneity of genome tracks hampers the development of relevant statistics. We developed the criteria for the assessment of genome track inhomogeneity and correlations between two genome tracks. We also developed a software package, Genome Track Analyzer, based on this theory. The theory and software were tested on simulated data and were applied to the study of correlations between CpG islands and transcription start sites in the Homo sapiens genome, between profiles of protein-binding sites in chromosomes of Drosophila melanogaster, and between DNA double-strand breaks and histone marks in the H. sapiens genome. Significant correlations between transcription start sites on the forward and the reverse strands were observed in genomes of D. melanogaster, Caenorhabditis elegans, Mus musculus, H. sapiens, and Danio rerio. The observed correlations may be related to the regulation of gene expression in eukaryotes. Genome Track Analyzer is freely available at http://ancorr.eimb.ru/.

Indexed as

Databases, GeneticGenome-Wide Association StudySoftwareAnimalsCaenorhabditis elegansCpG IslandsDrosophila melanogasterGene Expression RegulationHumansMiceTranscription Initiation, GeneticZebrafishbioinformatic toolepigeneticsgene expressiongenome trackstranscription start sites

Identifiers

PMID25627242
PMCPMC4379982
OpenAlexW2130349621

What OpenQuestion holds

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LicenceCC BY-NC
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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.