Evidence map›Paper›PMID 25642351›Full record

ArticleJournal of computational biology and bioinformatics research2014

Development of genodynamic metrics for exploring the biophysics of DNA polymorphisms.

James Lindesay, Tshela E Mason, William Hercules, Georgia M Dunston

Open access · greenAbstract read
In one paragraph

Article in Journal of computational biology and bioinformatics research, 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
–field-weighted citation impact, top 80% 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. 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

4 authors at 1 institution in 1 country.

James LindesayComputational Physics Laboratory, Department of Physics and Astronomy, Howard University, Washington, DC, 20059, U.S.
Tshela E MasonNational Human Genome Center, Howard University, Washington, DC, 20060, U.S.
William HerculesComputational Physics Laboratory, Department of Physics and Astronomy, Howard University, Washington, DC, 20059, U.S.
Georgia M DunstonNational Human Genome Center, Howard University, Washington, DC, 20060, U.S ; Department of Microbiology, Howard University, Washingto on, DC, 20059, U.S.
Howard University · US

Funding

STRUCTURAL/FUNCTIONAL CHARACTERIZATION OF AMINOGLYCOSIDEG12RR003048 · NCRR · HOWARD UNIVERSITY · PI SOUTHERLAND, WILLIAM M. · 1985 to 2011
$19.0M
PROTEOMICS CORE FACILITYG12MD007597 · NIMHD · HOWARD UNIVERSITY · PI SOUTHERLAND, WILLIAM M. · 2012 to 2018
$14.8M
NCRR NIH HHS G12 RR003048NIMHD NIH HHS G12 MD007597
6 · The paper itself

Abstract

Single nucleotide polymorphisms (SNPs) represent an important type of dynamic sites within the human genome. These common variants often locally correlate within more complex multi-SNP haploblocks that are maintained throughout generations in a stable population. Information encoded in the structure of SNPs and SNP haploblock variation can be characterized through a normalized information content metric. Genodynamics is being developed as the analogous "thermodynamics" characterizing the state variables for genomic populations that are stable under stochastic environmental stresses. Since living systems have not been found to develop in the absence of environmental influences, this paper describes the analogous genomic free energy metrics in a given environment. SNP haploblocks were constructed by Haploview v4.2 for five chromosomes from phase III HapMap data, and the genomic state variables for each chromosome were calculated. An

Indexed as

biological informationentropygenodynamicsgenomic variationInformation theory

Identifiers

PMID25642351
PMCPMC4310014
OpenAlexW2374201290

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.