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. 1985 Sep;82(17):5800–5804. doi: 10.1073/pnas.82.17.5800

Comparative statistics for DNA and protein sequences: single sequence analysis.

S Karlin, G Ghandour
PMCID: PMC390640  PMID: 2994049

Abstract

Four categories of data representations are used to help interpret structures and similarities of nucleic acid and protein sequences. Statistical significance of the observed relationships revealed by these representations are assessed by a hierarchy of permutation procedures and by comparisons with theoretical random models. Applications are presented for various DNA sequences including papovaviruses, Epstein-Barr virus, mitochondrial genomes, and several globin and immunoglobulin genes.

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Selected References

These references are in PubMed. This may not be the complete list of references from this article.

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