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Bioinformatics
Article . 2018
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cooccurNet: an R package for co-occurrence network construction and analysis

Authors: Yuanqiang Zou; Zhiqiang Wu 0001; Lizong Deng; Aiping Wu 0002; Fan Wu 0016; Kenli Li 0001; Taijiao Jiang; +1 Authors

cooccurNet: an R package for co-occurrence network construction and analysis

Abstract

Abstract Motivation Previously, we developed a computational model to identify genomic co-occurrence networks that was applied to capture the coevolution patterns within genomes of influenza viruses. To facilitate easy public use of this model, an R package ‘cooccurNet’ is presented here. Results ‘cooccurNet’ includes functionalities of construction and analysis of residues (e.g. nucleotides, amino acids and SNPs) co-occurrence network. In addition, a new method for measuring residues coevolution, defined as residue co-occurrence score (RCOS), is proposed and implemented in ‘cooccurNet’ based on the co-occurrence network. Availability and Implementation ‘cooccurNet’ is publicly available on CRAN repositories under the GPL-3 Open Source License (http://cran.r-project.org/package=cooccurNet) Supplementary information Supplementary data are available at Bioinformatics online.

Keywords

Evolution, Molecular, Computer Simulation, Genome, Viral, Genomics, Orthomyxoviridae, Polymorphism, Single Nucleotide, Software

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
8
Top 10%
Average
Average
gold