Markovian language model of the DNA and its information content
This work proposes a Markovian memoryless model for the DNA that simplifies enormously the complexity of it. We encode nucleotide sequences into symbolic sequences, called words, from which we establish meaningful length of words and groups of words that share symbolic similarities. Interpreting a n...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
The Royal Society
2016-01-01
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Series: | Royal Society Open Science |
Subjects: | |
Online Access: | https://royalsocietypublishing.org/doi/pdf/10.1098/rsos.150527 |