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The complete microarray dataset from this study can be sourced at NCBI's Gene Expression Omnibus (GEO accession GSE15184).
In addition, the population PK/PD analysis demonstrated no association between clinical outcomes and the infecting pathogen MICs within the PK dataset from this study.
Therefore, the genetic dataset from this study represents a solid basis for future identification of morphologically similar Nannomys species via DNA barcoding (using e.g. evolutionary placement algorithm; [ 69]).
Upon acceptance for publication, the complete raw dataset from this study will be deposited in the Gene Expression Omnibus database and appropriately referenced in the paper to assure open access.
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The datasets from this study are publicly available on the GEO repository (accession number GSE63561).
Chang et al. (2010) reported several rock mechanical property datasets from this study area, consisting of three different sedimentary sequences: faulted trench deposits, highly deformed accretionary complexes, and weakly deformed fore-arc basin sediments.
Microarray datasets from 9 studies obtained from GEO, as well as the 2 datasets from this study are listed.
All datasets from this study have been submitted to NCBI Geo for public access.
Comparison between these three tools using a dataset of 12 exomes from 1000 Genomes and the two datasets from this study highlighted a clear trend.
Those two datasets from this study have been submitted to the NCBI Gene Expression Omnibus http://www.ncbi.nlm.nih.gov/geo under accession number GSE30222.
QMAS data on QOF achievement, exception reporting and prevalence rates are freely available on the Health and Social Care Information Centre HSCICC) website 15 but information on clinical computing systems is not publicly reported and we obtained the relevant dataset for this study from the HSCIC.
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