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To compare with Ashgaroo data, 2 other datasets were accessed from the surveillance data of the Kurram Agency for 2002 2004.
The datasets were accessed through the NSW Ministry of Health's Secure Analytics for Population Health Research and Intelligence (SAPHaRI) system.
Several of the mentioned methods have been accessed for this dataset but fits were not as good as those obtained with the 2nd degree model.
query_by_header_keyword is useful for any datasets that have a 'header' attribute whose elements can be accessed, for example as a Python dictionary (e.g. header['XTENSION']), like a DataPHA.
MICS datasets (MICS3 and MICS4) for Asian and African countries were accessed from http://www.childinfo.org/mics3_surveys.html.html
The in-house transcriptome (mRNA) datasets available for BC were accessed (GEO accession ID GSE22820) [ 31] and analyzed for DE of mRNAs from a matched subset of samples (n = 17).
All datasets can be accessed at NCBI-GEO repository (GSE13381).
The RNA-seq dataset can be accessed at GEO (GSE122550).
The dataset can be accessed in Additional file 1.
Finally, complete normalized datasets for all ~12,000 strains tested can be accessed via the Browse Datasets tab and downloaded as zipped CSV files.
The datasets used for this study can be accessed in the Gene Expression Omnibus (http://www.ncbi.nlm.nih.gov/geo/) of the National Center for Biotechnology Information (NCBI) with accession number GSE45997.
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