Prediction of oligonucleotide frequencies based upon dinucleotide frequencies obtained from the nearest neighbor analysis | Zendy

Juan Hong | Zendy

Open Access

Prediction of oligonucleotide frequencies based upon dinucleotide frequencies obtained from the nearest neighbor analysis

Author(s) -

Juan Hong

Publication year - 1990

Publication title -

nucleic acids research

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 9.008

H-Index - 537

eISSN - 1362-4954

pISSN - 0305-1048

DOI - 10.1093/nar/18.6.1625

Subject(s) - biology , k nearest neighbors algorithm , markov chain , oligonucleotide , biological system , pattern recognition (psychology) , computational biology , genetics , statistics , artificial intelligence , computer science , mathematics , dna

A statistical method of predicting hexanucleotide frequencies is presented. The method requires dinucleotide frequencies which can be readily obtained by nearest neighbor analysis. The frequencies of 64 hexanucleotides of E. coli were estimated and compared well with those predicted by a third order Markov chain.

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