About: Study of LZ-word distribution and its application for sequence comparison

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An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	Study of LZ-word distribution and its application for sequence comparison
Creator	Yao, Yuhua Liu, Xiaoqing Dai, Qi He, Pingan Shi, Zhuoxing Yan, Zhaofang
source	Elsevier; Medline; PMC
abstract	Abstract Lempel–Ziv complexity has been widely used for sequence comparison and achieved promising results, but until now components' distribution in exhaustive history has not been studied. This paper investigated the whole distribution of LZ-words and presented a novel statistical method for sequence comparison. With the components' length in mind, we revised Lempel–Ziv complexity and obtained various sets of LZ-words. Instead of calculating the LZ-words' contents, we defined a series of set operations on LZ-word set to compare biological sequences. In order to assess the effectiveness of the proposed method, we performed two sets of experiments and compared it with alignment-based methods.
has issue date	2013-11-07(xsd:dateTime)
bibo:doi	10.1016/j.jtbi.2013.07.008
bibo:pmid	23876763
has license	els-covid
sha1sum (hex)	3c30d7fa7a46ae3606943b7ca1cf3a833c04af83
schema:url	https://doi.org/10.1016/j.jtbi.2013.07.008
resource representing a document's title	Study of LZ-word distribution and its application for sequence comparison
has PubMed Central identifier	PMC7094135
has PubMed identifier	23876763
schema:publication	Journal of Theoretical Biology
resource representing a document's body	covid:3c30d7fa7a46ae3606943b7ca1cf3a833c04af83#body_text
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