ArticleJournal of data mining in genomics & proteomics
Ranking of Prokaryotic Genomes Based on Maximization of Sortedness of Gene Lengths.
Article in Journal of data mining in genomics & proteomics. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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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.
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.
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Who cites it
5 citing papers in PubMed.
- Multimodal Raman spectroscopy and optical coherence tomography for biomedical analysis.Journal of biophotonics · 2023Review
- Nucleotide diversity analysis highlights functionally important genomic regions.Scientific reports · 2016Article
- Gene-Family Extension Measures and Correlations.Life (Basel, Switzerland) · 2016Article
- The mysterious orphans of Mycoplasmataceae.Biology direct · 2016Article
- Lengths of Orthologous Prokaryotic Proteins Are Affected by Evolutionary Factors.BioMed research international · 2015Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
How variations of gene lengths (some genes become longer than their predecessors, while other genes become shorter and the sizes of these factions are randomly different from organism to organism) depend on organismal evolution and adaptation is still an open question. We propose to rank the genomes according to lengths of their genes, and then find association between the genome rank and variousproperties, such as growth temperature, nucleotide composition, and pathogenicity. This approach reveals evolutionary driving factors. The main purpose of this study is to test effectiveness and robustness of several ranking methods. The selected method of evaluation is measuring of overall sortedness of the data. We have demonstrated that all considered methods give consistent results and Bubble Sort and Simulated Annealing achieve the highest sortedness. Also, Bubble Sort is considerably faster than the Simulated Annealing method.
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Registered trials
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.