Read and preprocess fasta format data, and construct the co-occurrence network for downstream analyses. This R package is to construct the co-occurrence network with the algorithm developed by Du (2008) <doi:10.1101/gr.6969007>. It could be used to transform the data with high-dimension, such as DNA or protein sequence, into co-occurrence networks. Co-occurrence network could not only capture the co-variation pattern between variables, such as the positions in DNA or protein sequences, but also reflect the relationship between samples. Although it is originally used in DNA and protein sequences, it could be also used to other kinds of data, such as RNA, SNP, etc.
| Version: | 0.1.6 |
| Depends: | R (≥ 3.2.0) |
| Imports: | seqinr, igraph, bigmemory, Matrix, foreach, parallel, pryr, knitr, doParallel |
| Published: | 2017-01-27 |
| Author: | Yuanqiang Zou, Yousong Peng and Taijiao Jiang |
| Maintainer: | Yuanqiang Zou <jerrytsou2001 at gmail.com> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | cooccurNet results |
| Reference manual: | cooccurNet.pdf |
| Vignettes: |
Extending cooccurNet |
| Package source: | cooccurNet_0.1.6.tar.gz |
| Windows binaries: | r-devel: cooccurNet_0.1.6.zip, r-release: cooccurNet_0.1.6.zip, r-oldrel: cooccurNet_0.1.6.zip |
| macOS binaries: | r-release: cooccurNet_0.1.6.tgz, r-oldrel: cooccurNet_0.1.6.tgz |
| Old sources: | cooccurNet archive |
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