Application US20190050534

a sample handling system comprising a sequencing system operable to determine microorganism genetic sequences based on samples associated with a set of subjects, wherein the samples comprise microorganism nucleic acids associated with the microorganism-related condition;

a set of microbiome characterization modules operable to apply a set of analytical techniques comprising at least two of a statistical test, a dimensionality reduction technique, and an artificial intelligence approach, and wherein the set of microbiome characterization modules comprises: a first microbiome characterization module operable to apply a first analytical technique, of the set of analytical techniques, to determine a set of microbiome features based on the microorganism genetic sequences, wherein the set of microbiome features is associated with the microorganism-related condition; and a second microbiome characterization module operable to apply a second analytical technique, of the set of analytical techniques, to determine a processed microbiome feature set based on the set of microbiome features, wherein the processed microbiome feature set is adapted to improve the characterization of the microorganism-related condition; and

a microorganism-related condition model generated based on the processed microbiome feature set, wherein the microorganism-related condition model is operable to determine a characterization of the microorganism-related condition for a user.

determining a microorganism sequence dataset for a user based on microorganism nucleic acids from a sample associated with the user; and

determining a characterization of the microorganism-related condition for the user based on the microorganism sequence dataset and a microorganism-related condition model generated based on the application, with a set of microbiome characterization modules, of a set of analytical techniques to determine a set of microbiome features,

wherein the set of analytical techniques comprises at least one of a statistical test, a dimensionality reduction technique, and an artificial intelligence approach,

wherein the set of microbiome characterization modules comprises: a first microbiome characterization module operable to apply a first analytical technique of the set of analytical techniques, and a second microbiome characterization module operable to apply a second analytical technique of the set of analytical techniques.