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An open API service providing mapping between scientific papers and software projects that are mentioned in them.

Papers: 10.3390/microorganisms8020190

https://doi.org/10.3390/microorganisms8020190

Keystone Species and Modularity in Microbial Hydrocarbon Degradation Uncovered by Network Analysis and Association Rule Mining

Cited by: 5
Author(s): Florian Centler, Sarah Günnigmann, Ingo Fetzer, Annelie Wendeberg
Published: over 5 years ago

Software Mentions 4

bioconductor: multtest
Resampling-based multiple hypothesis testing
Papers that mentioned: 158
Very Likely Science (98)
cran: igraph
Network Analysis and Visualization
Papers that mentioned: 1,555
Very Likely Science (100)
cran: vegan
Community Ecology Package
Papers that mentioned: 6,903
Very Likely Science (100)
pypi: igraph
High performance graph data structures and algorithms
Papers that mentioned: 1,555
Very Likely Science (100)