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The trimmed reads were randomly subsampled using the python package HTSeq for a rarefaction curve analysis.
Random Forest was implemented using the Python package scikit-learn.
Macau was implemented using the Python package Macau.
Power law distributions were fitted using the Python package powerlaw [27].
We generated a log-scaled two-dimensional histogram of r values vs. distance using the python package matplotlib v1.4.0.
The shortest path length for integrated global protein-protein interactions [ 27] was calculated using the Python package networkX.
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For this purpose we have used the Python package tweetstream to retrieve tweets related to the Sandy hurricane, hitting large parts of the Caribbean and the Mid-Atlantic and Northeastern United States during October 2012.
We used the Python package "sklearn" to implement this procedure.
The n-grams processing uses the Python package NLTK — an open source Python set of modules, linguistic data and documentation for research and development in natural language processing and text analytics [ 13].
The parameters used were a mate-inner-dist of 70, mate-std-dev of 100 and splice-mismatches of 2. Raw counts per gene were determined by using the Python HTSeq package (http://www-huber.embl.de/users/anders/HTSeq). Normalization and differential expression analysis was performed using the Bioconductor/R package DESeq (Anders and Huber, 2010).
The heatmap, created using the Python visualization package matplotlib [47], is constructed as a matrix; rows and columns map to individual columns of the dataset, and the intersecting elements to their combination.
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