CoNet - Co-occurrence Network inference

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CoNet - Home

CoNet is a tool that detects significant non-random patterns of co-occurrence (copresence and mutual exclusion) in incidence and abundance data. It has been designed with (microbial) ecological data in mind, but can be applied in general to infer relationships between objects observed in different samples (for example between genes present or absent across organisms). CoNet runs on command line and as a Cytoscape plugin.

  Features

• new: can parse biom files
• support for lagged similarity computation in time series
• automatic assignment of higher-level taxa from lineages
• large choice of correlation, distance and similarity measures
• measures can be combined in multiple ways
• implements the ReBoot procedure (published in PLoS Comp Bio), which is also available through ccrepe
• significance can be tested with various randomization routines and multiple testing corrections
• supports row groups and combination of 2 input matrices
• several data preprocessing and filtering options
• repeatable data analysis with settings loading and saving
• command line tool for the analysis of large data sets