Methods of detecting, predicting severity of, and/or predicting treatment response to respiratory virus infection in a sample obtained from a subject. The methods include assaying a methylation state of a marker in a sample obtained from a subject and identifying the subject as having respiratory virus infection, a likelihood of severe outcomes of respiratory infection, and/or a likelihood of treatment response depending on the methylation state of the marker. The markers can include bases (DMP) in differentially methylated regions (DMR) as provided herein.

Temporal variations in one or more characteristics measured from a cell-free DNA sample are used to estimate a gestational age of a fetus. Example characteristics include the methylation level measured from the cell-free DNA sample, size of DNA fragments measured from the cell-free DNA sample (e.g., proportion of fetal-derived DNA fragments longer than a specified size), and ending patterns of the DNA fragments align to a reference genome.

Temporal variations in one or more characteristics measured from a cell-free DNA sample are used to estimate a gestational age of a fetus. Example characteristics include the methylation level measured from the cell-free DNA sample, size of DNA fragments measured from the cell-free DNA sample (e.g., proportion of fetal-derived DNA fragments longer than a specified size), and ending patterns of the DNA fragments align to a reference genome.

The present invention provides a fast and simple method for preparing a microbial profile of a human skin sample. The method can be performed using only portable devices, allowing for in-field profiling. The method is robust and has been found to work even with low DNA quantities and under difficult conditions.

The present invention provides a fast and simple method for preparing a microbial profile of a human skin sample. The method can be performed using only portable devices, allowing for in-field profiling. The method is robust and has been found to work even with low DNA quantities and under difficult conditions.

Described herein are methods useful for detecting and diagnosing pathogen infection using PCR and sequencing.

Monitoring, analysis and control of fermentation activities includes methods and corresponding systems directed toward agriculture, biofuels, and food production. Complex methods and corresponding systems are provided for classifying a microorganism; profiling a microbiome; sequencing multiple libraries in a single sequencing run; determining a microbiome profile in a sample; and analyzing a material from a location associated with a fermentation process. Additional implementations are directed to methods and corresponding systems for obtaining, deriving, predicting and evaluating microbiome information; control, analysis and direction of fermentation operations; and evaluating, analyzing and displaying microbiome related information in two and three dimensional plots. Yet additional methods and corresponding systems permit identification and analysis of microorganisms capable of imparting beneficial properties to phases of fermentation processes.

Monitoring, analysis and control of fermentation activities includes methods and corresponding systems directed toward agriculture, biofuels, and food production. Complex methods and corresponding systems are provided for classifying a microorganism; profiling a microbiome; sequencing multiple libraries in a single sequencing run; determining a microbiome profile in a sample; and analyzing a material from a location associated with a fermentation process. Additional implementations are directed to methods and corresponding systems for obtaining, deriving, predicting and evaluating microbiome information; control, analysis and direction of fermentation operations; and evaluating, analyzing and displaying microbiome related information in two and three dimensional plots. Yet additional methods and corresponding systems permit identification and analysis of microorganisms capable of imparting beneficial properties to phases of fermentation processes.

Described are techniques for determining population structure from identity-by-descent (IBD) of individuals. The techniques may be used to predict that an individual belongs to zero, one or more of a number of communities identified within an IBD network. Additional data may be used to annotate the communities with birth location, surname, and ethnicity information. In turn, these data may be used to provide to an individual a prediction of membership to zero, one or more communities, accompanied by a summary of the information annotated to those communities.

Described are techniques for determining population structure from identity-by-descent (IBD) of individuals. The techniques may be used to predict that an individual belongs to zero, one or more of a number of communities identified within an IBD network. Additional data may be used to annotate the communities with birth location, surname, and ethnicity information. In turn, these data may be used to provide to an individual a prediction of membership to zero, one or more communities, accompanied by a summary of the information annotated to those communities.