ArticleBioinformatics and biology insights2012
Methods of combinatorial optimization to reveal factors affecting gene length.
Article in Bioinformatics and biology insights, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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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.
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Who cites it
5 citing papers in PubMed.
- Evidence-based gene models for structural and functional annotations of the oil palm genome.Biology direct · 2017Article
- 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
- Ranking of Prokaryotic Genomes Based on Maximization of Sortedness of Gene Lengths.Journal of data mining in genomics & proteomicsArticle
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Authors and funding
2 authors.
Funding
Abstract
In this paper we present a novel method for genome ranking according to gene lengths. The main outcomes described in this paper are the following: the formulation of the genome ranking problem, presentation of relevant approaches to solve it, and the demonstration of preliminary results from prokaryotic genomes ordering. Using a subset of prokaryotic genomes, we attempted to uncover factors affecting gene length. We have demonstrated that hyperthermophilic species have shorter genes as compared with mesophilic organisms, which probably means that environmental factors affect gene length. Moreover, these preliminary results show that environmental factors group together in ranking evolutionary distant species.
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Registered trials
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