Abstract:
:Given the vast amount of genomic data, alignment-free sequence comparison methods are required due to their low computational complexity. k-mer based methods can improve comparison accuracy by extracting an effective feature of the genome sequences. The aim of this paper is to extract k-mer intervals of a sequence as a feature of a genome for high comparison accuracy. In the proposed method, we calculated the distance between genome sequences by comparing the distribution of k-mer intervals. Then, we identified the classification results using phylogenetic trees. We used viral, mitochondrial (MT), microbial and mammalian genome sequences to perform classification for various genome sets. We confirmed that the proposed method provides a better classification result than other k-mer based methods. Furthermore, the proposed method could efficiently be applied to long sequences such as human and mouse genomes.
journal_name
Genomicsjournal_title
Genomicsauthors
Han GB,Cho DHdoi
10.1016/j.ygeno.2018.11.001subject
Has Abstractpub_date
2019-12-01 00:00:00pages
1574-1582issue
6eissn
0888-7543issn
1089-8646pii
S0888-7543(18)30447-6journal_volume
111pub_type
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