ArticleBiology direct2010
The calculation of information and organismal complexity.
Article in Biology direct, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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
7 citing papers in PubMed.
- Reintegrating Biology Through the Nexus of Energy, Information, and Matter.Integrative and comparative biology · 2022Article
- Uncovering patterns of the evolution of genomic sequence entropy and complexity.Molecular genetics and genomics : MGG · 2021Article
- Is Research on "Synthetic Cells" Moving to the Next Level?Life (Basel, Switzerland) · 2018Article
- Alternative splicing and the evolution of phenotypic novelty.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2017Review
- Informational laws of genome structures.Scientific reports · 2016Article
- KGCAK: a K-mer based database for genome-wide phylogeny and complexity evaluation.Biology direct · 2015Article
- Genetic code evolution reveals the neutral emergence of mutational robustness, and information as an evolutionary constraint.Life (Basel, Switzerland) · 2015Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundIt is difficult to measure precisely the phenotypic complexity of living organisms. Here we propose a method to calculate the minimal amount of genomic information needed to construct organism (effective information) as a measure of organismal complexity, by using permutation and combination formulas and Shannon's information concept.
resultsThe results demonstrate that the calculated information correlates quite well with the intuitive organismal phenotypic complexity defined by traditional taxonomy and evolutionary theory. From viruses to human beings, the effective information gradually increases, from thousands of bits to hundreds of millions of bits. The simpler the organism is, the less the information; the more complex the organism, the more the information. About 13% of human genome is estimated as effective information or functional sequence.
conclusionsThe effective information can be used as a quantitative measure of phenotypic complexity of living organisms and also as an estimate of functional fraction of genome.
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