Segmenting DNA sequence into `words'
Genomics
2015-03-13 v4 Computation and Language
Abstract
This paper presents a novel method to segment/decode DNA sequences based on n-grams statistical language model. Firstly, we find the length of most DNA 'words' is 12 to 15 bps by analyzing the genomes of 12 model species. Then we design an unsupervised probability based approach to segment the DNA sequences. The benchmark of segmenting method is also proposed.
Cite
@article{arxiv.1202.2518,
title = {Segmenting DNA sequence into `words'},
author = {Wang Liang},
journal= {arXiv preprint arXiv:1202.2518},
year = {2015}
}
Comments
12 pages,2 figures