ArticleScientific reports2016
Informational laws of genome structures.
Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 14 papers.
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14 citing papers in PubMed, 42 citations in OpenAlex.
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- Uncovering patterns of the evolution of genomic sequence entropy and complexity.Molecular genetics and genomics : MGG · 2021Article
- Intrinsic laws of k-mer spectra of genome sequences and evolution mechanism of genomes.BMC evolutionary biology · 2020Article
- Driven progressive evolution of genome sequence complexity in Cyanobacteria.Scientific reports · 2020Article
- On the length, weight and GC content of the human genome.BMC research notes · 2019Article
- An Informational Test for Random Finite Strings.Entropy (Basel, Switzerland) · 2018Article
- PanDelos: a dictionary-based method for pan-genome content discovery.BMC bioinformatics · 2018Article
- Article
Corrections and comments
- Erratum issued
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In recent years, the analysis of genomes by means of strings of length k occurring in the genomes, called k-mers, has provided important insights into the basic mechanisms and design principles of genome structures. In the present study, we focus on the proper choice of the value of k for applying information theoretic concepts that express intrinsic aspects of genomes. The value k = lg2(n), where n is the genome length, is determined to be the best choice in the definition of some genomic informational indexes that are studied and computed for seventy genomes. These indexes, which are based on information entropies and on suitable comparisons with random genomes, suggest five informational laws, to which all of the considered genomes obey. Moreover, an informational genome complexity measure is proposed, which is a generalized logistic map that balances entropic and anti-entropic components of genomes and is related to their evolutionary dynamics. Finally, applications to computational synthetic biology are briefly outlined.
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