Technology provided herein relates in part to methods, processes, machines and apparatuses for non-invasive assessment of genomic nucleic acid instability and genomic nucleic acid stability. The method comprises providing a set of genomic portions each coupled to a copy number alteration quantification for a test sample, wherein the genomic portions comprises portions of a reference genome to which sequence reads obtained for nucleic acid from a test sample obtained from the subject have been mapped, and the copy number alteration quantification coupled to each genomic portion has been determined from a quantification of sequence reads mapped to the genomic portion; and determining, by a computing device, presence or absence of genomic instability for the subject according to the copy number alteration quantifications coupled to the genomic portions.

Computer-implemented methods and systems for automatically generating a genealogical graph for an initial member and a target member are provided. An example system includes a memory and a processor that can operate to: receive an initial member identifier identifying the initial member and a target member identifier identifying the target member; retrieve, from the memory, a set of genealogical data for the initial member and a set of genealogical data for the target member; and determine whether a genealogical connection exists between the initial member and the target member. In response to determining the genealogical connection exists between the initial member and the target member, the processor can generate the genealogical graph to illustrate the determined genealogical connection and a subset of genealogical data from the set of genealogical data for the target member.

Computer-implemented methods and systems for automatically generating a genealogical graph for an initial member and a target member are provided. An example system includes a memory and a processor that can operate to: receive an initial member identifier identifying the initial member and a target member identifier identifying the target member; retrieve, from the memory, a set of genealogical data for the initial member and a set of genealogical data for the target member; and determine whether a genealogical connection exists between the initial member and the target member. In response to determining the genealogical connection exists between the initial member and the target member, the processor can generate the genealogical graph to illustrate the determined genealogical connection and a subset of genealogical data from the set of genealogical data for the target member.

An example computer-implemented method includes receiving agricultural data records comprising a first set of yield properties for a first set of seeds grown in a first set of environments, and receiving genetic feature data related to a second set of seeds. The method further includes generating a second set of yield properties for the second set of seeds associated with a second set of environments by applying a model using the genetic feature data and the agricultural data records. In addition, the method includes determining predicted yield performance for a third set of seeds associated with one or more target environments by applying the second set of yield properties, and generating seed recommendations for the one or more target environments based on the predicted yield performance for the third set of seeds. In the present example, the method also includes causing display, on a display device communicatively coupled to the server computer system, the seed recommendations.

An example computer-implemented method includes receiving agricultural data records comprising a first set of yield properties for a first set of seeds grown in a first set of environments, and receiving genetic feature data related to a second set of seeds. The method further includes generating a second set of yield properties for the second set of seeds associated with a second set of environments by applying a model using the genetic feature data and the agricultural data records. In addition, the method includes determining predicted yield performance for a third set of seeds associated with one or more target environments by applying the second set of yield properties, and generating seed recommendations for the one or more target environments based on the predicted yield performance for the third set of seeds. In the present example, the method also includes causing display, on a display device communicatively coupled to the server computer system, the seed recommendations.

Determining relative relationships of people who share a common ancestor within at least a threshold number of generations includes: receiving recombinable deoxyribonucleic acid (DNA) sequence information of a first user and recombinable DNA sequence information of a plurality of users; processing, using one or more computer processors, the recombinable DNA sequence information of the plurality of users in parallel; determining, based at least in part on a result of processing the recombinable DNA information of the plurality of users in parallel, a predicted degree of relationship between the first user and a user among the plurality of users, the predicted degree of relative relationship corresponding to a number of generations within which the first user and the second user share a common ancestor.

Determining relative relationships of people who share a common ancestor within at least a threshold number of generations includes: receiving recombinable deoxyribonucleic acid (DNA) sequence information of a first user and recombinable DNA sequence information of a plurality of users; processing, using one or more computer processors, the recombinable DNA sequence information of the plurality of users in parallel; determining, based at least in part on a result of processing the recombinable DNA information of the plurality of users in parallel, a predicted degree of relationship between the first user and a user among the plurality of users, the predicted degree of relative relationship corresponding to a number of generations within which the first user and the second user share a common ancestor.

Metagenome data can be obtained for a stool sample of the individual. An indication of presence of a microbial species in the stool sample of the individual can be determined based on the metagenome data for each microbial species of a pre-defined set of microbial species. Based on the indications of presence of the microbial species from the pre-defined set of microbial species, a relative presence of microbial species can be determined from a first pre-defined subset of the pre-defined set of microbial species to microbial species from a second pre-defined subset of the pre-defined set of microbial species. An assessment of the gut health of the individual can be provided based on the relative presence of microbial species in the stool sample from the first pre-defined subset to microbial species from the second pre-defined subset.

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.