ArticleBioinformatics and biology insights2009
Universal Features for the Classification of Coding and Non-coding DNA Sequences.
Article in Bioinformatics and biology insights, 2009. 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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Who cites it
5 citing papers in PubMed.
- An Interpretation of the Ancestral Codon from Miller's Amino Acids and Nucleotide Correlations in Modern Coding Sequences.Bioinformatics and biology insights · 2015Article
- The Purine Bias of Coding Sequences is Determined by Physicochemical Constraints on Proteins.Bioinformatics and biology insights · 2014Article
- A Statistical Method without Training Step for the Classification of Coding Frame in Transcriptome Sequences.Bioinformatics and biology insights · 2013Article
- Human Retrovirus Codon Usage from tRNA Point of View: Therapeutic Insights.Bioinformatics and biology insights · 2013Article
- Classifying coding DNA with nucleotide statistics.Bioinformatics and biology insights · 2009Article
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In this report, we revisited simple features that allow the classification of coding sequences (CDS) from non-coding DNA. The spectrum of codon usage of our sequence sample is large and suggests that these features are universal. The features that we investigated combine (i) the stop codon distribution, (ii) the product of purine probabilities in the three positions of nucleotide triplets, (iii) the product of Cytosine, Guanine, Adenine probabilities in 1st, 2nd, 3rd position of triplets, respectively, (iv) the product of G and C probabilities in 1st and 2nd position of triplets. These features are a natural consequence of the physico-chemical properties of proteins and their combination is successful in classifying CDS and non-coding DNA (introns) with a success rate >95% above 350 bp. The coding strand and coding frame are implicitly deduced when the sequences are classified as coding.
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