Operon Prediction Model Based on Markov Clustering Algorithm

There are many operon prediction models, but few methods can be applied to the operon prediction of new sequencing species effectively. In this paper, an operon prediction model based on Markov clustering algorithm is proposed. The model uses some generic attribute information of genomes and graph c...

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Main Authors: Zhenmei Zhang, Yongquan Liang
Format: Article
Language:English
Published: Bulgarian Academy of Sciences 2019-03-01
Series:International Journal Bioautomation
Subjects:
Online Access:http://www.biomed.bas.bg/bioautomation/2019/vol_23.1/files/23.1_10.pdf
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author Zhenmei Zhang
Yongquan Liang
author_facet Zhenmei Zhang
Yongquan Liang
author_sort Zhenmei Zhang
collection DOAJ
description There are many operon prediction models, but few methods can be applied to the operon prediction of new sequencing species effectively. In this paper, an operon prediction model based on Markov clustering algorithm is proposed. The model uses some generic attribute information of genomes and graph clustering algorithm instead of classifier to predict operon. Similarly to most operon prediction models, E. coli K12 and B. subtilis str. 168 were used to assess the prediction capability of the proposed model, the experiment results show that the proposed model has better capability of operon prediction than some other classical operon prediction methods.
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spelling doaj.art-5ed691d7ec5245b2b4c72b8f739439a42022-12-22T03:46:01ZengBulgarian Academy of SciencesInternational Journal Bioautomation1314-19021314-23212019-03-0123110511610.7546/ijba.2019.23.1.105-116Operon Prediction Model Based on Markov Clustering AlgorithmZhenmei Zhang0Yongquan LiangCollege of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao 266590, ChinaThere are many operon prediction models, but few methods can be applied to the operon prediction of new sequencing species effectively. In this paper, an operon prediction model based on Markov clustering algorithm is proposed. The model uses some generic attribute information of genomes and graph clustering algorithm instead of classifier to predict operon. Similarly to most operon prediction models, E. coli K12 and B. subtilis str. 168 were used to assess the prediction capability of the proposed model, the experiment results show that the proposed model has better capability of operon prediction than some other classical operon prediction methods.http://www.biomed.bas.bg/bioautomation/2019/vol_23.1/files/23.1_10.pdfOperon PredictionMarkov Clustering AlgorithmGeneric AttributeGraph Clustering
spellingShingle Zhenmei Zhang
Yongquan Liang
Operon Prediction Model Based on Markov Clustering Algorithm
International Journal Bioautomation
Operon Prediction
Markov Clustering Algorithm
Generic Attribute
Graph Clustering
title Operon Prediction Model Based on Markov Clustering Algorithm
title_full Operon Prediction Model Based on Markov Clustering Algorithm
title_fullStr Operon Prediction Model Based on Markov Clustering Algorithm
title_full_unstemmed Operon Prediction Model Based on Markov Clustering Algorithm
title_short Operon Prediction Model Based on Markov Clustering Algorithm
title_sort operon prediction model based on markov clustering algorithm
topic Operon Prediction
Markov Clustering Algorithm
Generic Attribute
Graph Clustering
url http://www.biomed.bas.bg/bioautomation/2019/vol_23.1/files/23.1_10.pdf
work_keys_str_mv AT zhenmeizhang operonpredictionmodelbasedonmarkovclusteringalgorithm
AT yongquanliang operonpredictionmodelbasedonmarkovclusteringalgorithm