Evidence map›Paper›PMID 26877724›Full record

ArticleEURASIP journal on bioinformatics & systems biology2016

Relationship between digital information and thermodynamic stability in bacterial genomes.

Dawit Nigatu, Werner Henkel, Patrick Sobetzko, Georgi Muskhelishvili

Abstract read
In one paragraph

Article in EURASIP journal on bioinformatics & systems biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Review
  3. Information Entropy in Chemistry: An Overview.Entropy (Basel, Switzerland) · 2021
    Review
  4. Review
  5. Article
  6. Review
  7. Article
  8. Review
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.

Dawit NigatuTransmission Systems Group, School of Engineering and Science, Jacobs University Bremen, Campus Ring 1, Bremen, 28759 Germany.
Werner HenkelTransmission Systems Group, School of Engineering and Science, Jacobs University Bremen, Campus Ring 1, Bremen, 28759 Germany.
Patrick SobetzkoPhilipps-Universität Marburg, LOEWE-Zentrum für Synthetische Mikrobiologie, Hans-Meerwein-Straße, Mehrzweckgebäude, Marburg, 35043 Germany.
Georgi MuskhelishviliMicrobiologie, Adaptation, Pathogénie, UMR5240 CNRS-UCBL-INSA-BayerCropScience, Lyon, France ; Jacobs University Bremen, Campus Ring 1, Bremen, 28759 Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ever since the introduction of the Watson-Crick model, numerous efforts have been made to fully characterize the digital information content of the DNA. However, it became increasingly evident that variations of DNA configuration also provide an "analog" type of information related to the physicochemical properties of the DNA, such as thermodynamic stability and supercoiling. Hence, the parallel investigation of the digital information contained in the base sequence with associated analog parameters is very important for understanding the coding capacity of the DNA. In this paper, we represented analog information by its thermodynamic stability and compare it with digital information using Shannon and Gibbs entropy measures on the complete genome sequences of several bacteria, including

Indexed as

Gibbs entropySequence analysisShannon entropyThermodynamic stability

Identifiers

PMID26877724
PMCPMC4740571

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Registered trials

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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.