Diarrhea is a major cause of mortality and morbidity in young children from developing countries, leading to as many as 15% of all deaths in children under 5 years of age.
Among the discoveries of our study are the effectiveness of quantitative PCR as an alternative to culture in characterizing Shigella infections, as well as the potential of members of the Streptococcus genus to cause diarrhea. The data underlying our study is presented in part through these interactive plots.
We welcome you to explore the data on this site through the tabs above. Data was filtered (for server speed) at each level to include only bacteria present in over 20 samples. Additionally, only OTU sequences present in over 20 samples are shown. Examples of the interactive plots are shown below.
Manhattan plots of the bacterial abundances at various levels of the tree stratified by sample health status, age, and country of origin. Scroll through your favorite bacteria and display your country/age of interest.
Heatmap of the bacterial abundances filtered by either the most variable bacteria or those with the largest median absolute deviation scores. Trend in abundance due to age (above). warning: takes a few seconds
PCA or MDS plots (methods for dimensionality-reduction). Projecting samples onto two dimensions and coloring the samples by phenotype. warning: takes a few seconds
Shannon diversity index boxplots of the various stratified samples.
Operational taxonomic unit (OTU) richness as a function of sequencing depth.
OTU representative sequence annotations.
OTU ID and sequence center for OTU above:
OTU ID and sequence centers for bacteria above: