Abstract: Embodiments of a method and system for microbial pharmacogenomics can include: a sample handling system operable to collect containers including biological samples from a set of users, the handling system including a sequencing system operable to determine microorganism sequences from the biological samples; a microbiome characterization system operable to: determine microbiome pharmacogenomics data based on the microorganism sequences, collect supplementary data associated with the antibiotics-associated condition for the set of users, and transform the supplementary data and features extracted from the microbiome pharmacogenomics data into a characterization model associated with the antibiotics-associated condition; and a treatment system operable to promote a treatment to the user for the antibiotics-associated condition based on characterizing user biological material with the characterization model in relation to the antibiotics-associated condition.

Abstract: A method for at least one of characterizing, diagnosing, and treating a condition associated with microbiome taxonomic features in at least a subject, the method comprising: receiving an aggregate set of biological samples from a population of subjects; generating at least one of a microbiome composition dataset and a microbiome functional diversity dataset for the population of subjects; generating a characterization of the condition based upon features extracted from at least one of the microbiome composition dataset and the microbiome functional diversity dataset; based upon the characterization, generating a therapy model configured to correct the condition; and at an output device associated with the subject, promoting a therapy to the subject based upon the characterization and the therapy model.

Abstract: A method for at least one of characterizing, diagnosing, and treating an endocrine system condition in at least a subject, the method comprising: receiving an aggregate set of biological samples from a population of subjects; generating at least one of a microbiome composition dataset and a microbiome functional diversity dataset for the population of subjects; generating a characterization of the endocrine system condition based upon features extracted from at least one of the microbiome composition dataset and the microbiome functional diversity dataset; based upon the characterization, generating a therapy model configured to correct the endocrine system condition; and at an output device associated with the subject, promoting a therapy to the subject based upon the characterization and the therapy model.

Abstract: A method for at least one of characterizing, diagnosing, and treating a condition associated with microbiome functional features in at least a subject, the method comprising: receiving an aggregate set of biological samples from a population of subjects; generating at least one of a microbiome composition dataset and a microbiome functional diversity dataset for the population of subjects; generating a characterization of the condition based upon features extracted from at least one of the microbiome composition dataset and the microbiome functional diversity dataset; based upon the characterization, generating a therapy model configured to correct the condition; and at an output device associated with the subject, promoting a therapy to the subject based upon the characterization and the therapy model.

Abstract: A method for at least one of characterizing, diagnosing, and treating a mental health associated condition in at least a subject, the method comprising: receiving an aggregate set of biological samples from a population of subjects; generating at least one of a microbiome composition dataset and a microbiome functional diversity dataset for the population of subjects; generating a characterization of the mental health associated condition based upon features extracted from at least one of the microbiome composition dataset and the microbiome functional diversity dataset; based upon the characterization, generating a therapy model configured to correct the mental health associated condition; and at an output device associated with the subject, promoting a therapy to the subject based upon the characterization and the therapy model.

Abstract: A method for at least one of characterizing, diagnosing, and treating a condition associated with microbiome taxonomic features in at least a subject, the method comprising: receiving an aggregate set of biological samples from a population of subjects; generating at least one of a microbiome composition dataset and a microbiome functional diversity dataset for the population of subjects; generating a characterization of the condition based upon features extracted from at least one of the microbiome composition dataset and the microbiome functional diversity dataset; based upon the characterization, generating a therapy model configured to correct the condition; and at an output device associated with the subject, promoting a therapy to the subject based upon the characterization and the therapy model.

Abstract: Embodiments of a method and/or system, such as for improving a microorganism-related characterization process, can include: preparing a set of control samples (e.g., from an individual specimen); determining one or more reference microorganism-related parameters (e.g., cutoff reference ranges of relative abundance for a set of microorganism taxa) based on one or more control samples of the set of control samples; and determining one or more variability parameters for the microorganism-related characterization based on the one or more reference microorganism-related parameters and one or more control sample characterizations for one or more control samples of the set of control samples.

Abstract: Embodiments of a method and/or system (e.g., for improved single molecule sequencing, etc.) can include preparing a set of unique molecular identifier (UMI)-based molecules associated with a set of target nucleic acid sequences; facilitating generation of (e.g., generating, etc.) a set of tagged nucleic acid molecules based on the set of UMI-based molecules and a set of nucleic acid molecules corresponding to (e.g., including, etc.) the set of target nucleic acid sequences; and/or facilitating (e.g., performing, etc.) single molecule sequencing with the set of tagged nucleic acid molecules.

Abstract: A method for at least one of characterizing, diagnosing, and treating a mental health associated condition in at least a subject, the method comprising: receiving an aggregate set of biological samples from a population of subjects; generating at least one of a microbiome composition dataset and a microbiome functional diversity dataset for the population of subjects; generating a characterization of the mental health associated condition based upon features extracted from at least one of the microbiome composition dataset and the microbiome functional diversity dataset; based upon the characterization, generating a therapy model configured to correct the mental health associated condition; and at an output device associated with the subject, promoting a therapy to the subject based upon the characterization and the therapy model.

Abstract: Embodiments of a method and/or system, such as for characterizing at least one microorganism-related condition, can include: determining a set of associations (e.g., positive associations such as positive correlations, negative associations such as negative correlations, non-associations such as no correlation or minimal correlation, etc.) between a set of microorganism taxa and at least one microorganism-related condition; determining a set of reference features (e.g., reference abundance ranges, etc.) for the set of microorganism taxa; and determining one or more significance index metrics based on the set of associations and the set of reference features.

Abstract: A method for at least one of characterizing, diagnosing, and treating an endocrine system condition in at least a subject, the method comprising: receiving an aggregate set of biological samples from a population of subjects; generating at least one of a microbiome composition dataset and a microbiome functional diversity dataset for the population of subjects; generating a characterization of the endocrine system condition based upon features extracted from at least one of the microbiome composition dataset and the microbiome functional diversity dataset; based upon the characterization, generating a therapy model configured to correct the endocrine system condition; and at an output device associated with the subject, promoting a therapy to the subject based upon the characterization and the therapy model.

Abstract: Embodiments of a method and/or system, such as for preparation of a normalized library for sequencing such as next-generation sequencing, can include one or more of: generating one or more normalized amplicon libraries; generating one or more normalized microbial community-associated libraries; and/or generating one or more normalized combined sequence libraries associated with amplicon-associated sequencing and microbial community-associated sequencing.

Abstract: Embodiments of a method and/or system (e.g., for nasal-related characterization) can include determining a microorganism dataset associated with a set of subjects; and/or performing a characterization process based on the microorganism dataset, where performing the characterization process can additionally or alternatively include performing a nasal-related characterization process, and/or determining one or more therapies, such as for one or more nasal-related conditions.

Abstract: Methods, compositions, and systems are provided for detecting one or more a bacterial vaginosis issues by characterizing the microbiome of an individual, monitoring such effects, and/or determining, displaying, or promoting a therapy for the bacterial vaginosis issue. Methods, compositions, and systems are also provided for generating and comparing microbiome composition and/or functional diversity datasets. Methods, compositions, and systems are also provided for generating a characterization model and/or therapy model for bacterial vaginosis.

Abstract: An embodiment of a method for diagnostic testing includes: providing a sampling kit to a subject, the sampling kit including a sample container for reception of a sample from a collection site of the subject; receiving the sample from the subject; generating a microbiome sequence dataset based upon sequencing nucleic acid content of a microorganism portion of the sample; detecting a presence of a set of microbiome targets; generating a diagnostic analysis based on the detected set of microbiome targets; generating a therapy recommendation based on the set of microbiome targets; and promoting the therapy recommendation in coordination with presenting information derived from the diagnostic analysis.

Abstract: A method for at least one of characterizing, diagnosing, and treating a locomotor system condition in at least a subject, the method comprising: receiving an aggregate set of biological samples from a population of subjects; generating at least one of a microbiome composition dataset and a microbiome functional diversity dataset for the population of subjects; generating a characterization of the locomotor system condition based upon features extracted from at least one of the microbiome composition dataset and the microbiome functional diversity dataset; based upon the characterization, generating a therapy model configured to correct the locomotor system condition; and at an output device associated with the subject, promoting a therapy to the subject based upon the characterization and the therapy model.

Abstract: A method for at least one of characterizing, diagnosing, and treating a cutaneous condition in at least a subject, the method comprising: receiving an aggregate set of biological samples from a population of subjects; generating at least one of a microbiome composition dataset and a microbiome functional diversity dataset for the population of subjects; generating a characterization of the cutaneous condition based upon features extracted from at least one of the microbiome composition dataset and the microbiome functional diversity dataset; based upon the characterization, generating a therapy model configured to correct the cutaneous condition; and at an output device associated with the subject, promoting a therapy to the subject based upon the characterization and the therapy model.

Abstract: Embodiments of a method and/or system for characterizing one or more sleep-related conditions can include determining a microorganism dataset associated with a set of subjects; and/or performing a characterization process associated with the one or more sleep-related conditions, based on the microorganism dataset, where performing the characterization process can additionally or alternatively include performing a sleep-related characterization process for the one or more sleep-related conditions, and/or determining one or more therapies S140.

Abstract: Embodiments of a method and/or system for characterizing a headache-related condition for a user can include one or more of: generating a microbiome dataset for each of an aggregate set of biological samples associated with a population of subjects, based on sample processing of the biological samples; processing a supplementary dataset associated with one or more headache-related conditions for the set of users; and performing a characterization process for the one or more headache-related conditions, based on the supplementary dataset and microbiome features extracted from the microbiome dataset.

Abstract: A method for at least one of characterizing, diagnosing, and treating a condition associated with microbiome-derived functional features in at least a subject, the method comprising: receiving an aggregate set of biological samples from a population of subjects; generating at least one of a microbiome composition dataset and a microbiome functional diversity dataset for the population of subjects; generating a characterization of the condition based upon features extracted from at least one of the microbiome composition dataset and the microbiome functional diversity dataset; based upon the characterization, generating a therapy model configured to correct the condition; and at an output device associated with the subject, promoting a therapy to the subject based upon the characterization and the therapy model.