Evidence map›Paper›PMID 26085808›Full record

ArticleCurrent genomics2015

Normalization of Complete Genome Characteristics: Application to Evolution from Primitive Organisms to Homo sapiens.

Kenji Sorimachi, Teiji Okayasu, Shuji Ohhira

Abstract read
In one paragraph

Article in Current genomics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Kenji SorimachiEducational Support Center, Dokkyo Medical University, Mibu, Tochigi 321-0293, Japan; ; Life Science Research Center, Higashi-Kaizawa, Takasaki, Gunma 370-0041, Japan;
Teiji OkayasuCenter for Medical Informatics, Dokkyo Medical University, Mibu, Tochigi 321-0293, Japan;
Shuji OhhiraLaboratory for International Environmental Health, Dokkyo Medical University, Tochigi 321-0293, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Normalized nucleotide and amino acid contents of complete genome sequences can be visualized as radar charts. The shapes of these charts depict the characteristics of an organism's genome. The normalized values calculated from the genome sequence theoretically exclude experimental errors. Further, because normalization is independent of both target size and kind, this procedure is applicable not only to single genes but also to whole genomes, which consist of a huge number of different genes. In this review, we discuss the applications of the normalization of the nucleotide and predicted amino acid contents of complete genomes to the investigation of genome structure and to evolutionary research from primitive organisms to Homo sapiens. Some of the results could never have been obtained from the analysis of individual nucleotide or amino acid sequences but were revealed only after the normalization of nucleotide and amino acid contents was applied to genome research. The discovery that genome structure was homogeneous was obtained only after normalization methods were applied to the nucleotide or predicted amino acid contents of genome sequences. Normalization procedures are also applicable to evolutionary research. Thus, normalization of the contents of whole genomes is a useful procedure that can help to characterize organisms.

Indexed as

Amino acid compositionChargaff’s parity rulesCluster analysisEvolutionGenomeNormalizationNucleotide contentPhylogenetic trees.

Identifiers

PMID26085808
PMCPMC4467310

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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.