Evidence map›Paper›PMID 24887142›Full record

ArticleViruses2014

Clustering of giant virus-DNA based on variations in local entropy.

Ranjan Bose, Gerhard Thiel, Kay Hamacher

Open access · goldAbstract read
In one paragraph

Article in Viruses, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 36% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. A scoring metric for multivariate data for reproducibility analysis using chemometric methods.Chemometrics and intelligent laboratory systems : an international journal sponsored by the Chemometrics Society · 2017
    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 at 2 institutions in 2 countries.

Ranjan BoseDepartment of Electrical Engineering, IIT Delhi, Hauz Khas, New Delhi 110016, India. rbose.iitd@gmail.com.
Gerhard ThielDepartment of Biology, Technische Universität Darmstadt, 64287 Darmstadt, Germany. Thiel@bio.tu-darmstadt.de.
Kay HamacherDepartment of Biology, Technische Universität Darmstadt, 64287 Darmstadt, Germany. Hamacher@bio.tu-darmstadt.de.
Technical University of Darmstadt · DEIndian Institute of Technology Delhi · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We present a method for clustering genomic sequences based on variations in local entropy. We have analyzed the distributions of the block entropies of viruses and plant genomes. A distinct pattern for viruses and plant genomes is observed. These distributions, which describe the local entropic variability of the genomes, are used for clustering the genomes based on the Jensen-Shannon (JS) distances. The analysis of the JS distances between all genomes that infect the chlorella algae shows the host specificity of the viruses. We illustrate the efficacy of this entropy-based clustering technique by the segregation of plant and virus genomes into separate bins.

Indexed as

DNA, ViralChlorellaCluster AnalysisComputational BiologyEvolution, MolecularGenome, ViralGenomicsHost-Pathogen InteractionsPhylogenyPlant VirusesDNA, Viral

Identifiers

PMID24887142
PMCPMC4074927
OpenAlexW2000484553

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.