Various methods and systems for processing at least some of genome sequences and at least some of associated information, for an individual, may include one or more of: segmenting genome sequences for at least a purpose of anonymizing genome information; using anchor segments for a purpose of minimizing electronic storage space in storing of genetic sequence information; generating at least one linkage record; generating at least one anonymized linkage record; processing a request for genetic study results; processing genetic study results received; and/or generating personalized information of interest pertaining to the individual. A purpose of such processing may be to prevent, minimize, and/or mitigate against (1) identification of the individual from such genome sequence information and/or from associated information; and/or (2) using such genome sequence information and/or associated information as a basis for discriminating against the individual.

Various methods and systems for processing at least some of genome sequences and at least some of associated information, for an individual, may include one or more of: segmenting genome sequences for at least a purpose of anonymizing genome information; using anchor segments for a purpose of minimizing electronic storage space in storing of genetic sequence information; generating at least one linkage record; generating at least one anonymized linkage record; processing a request for genetic study results; processing genetic study results received; and/or generating personalized information of interest pertaining to the individual. A purpose of such processing may be to prevent, minimize, and/or mitigate against (1) identification of the individual from such genome sequence information and/or from associated information; and/or (2) using such genome sequence information and/or associated information as a basis for discriminating against the individual.

Provided herein are methods and systems of molecular profiling of diseases, such as cancer. In some embodiments, the molecular profiling can be used to identify treatments for a disease, such as treatments that were not initially identified as a treatment for the disease or not expected to be a treatment for a particular disease.

Provided herein are methods and systems of molecular profiling of diseases, such as cancer. In some embodiments, the molecular profiling can be used to identify treatments for a disease, such as treatments that were not initially identified as a treatment for the disease or not expected to be a treatment for a particular disease.

Technologies for identifying genetic engineering proteins, organisms, and context signatures include a computing device that may be in communication with multiple client devices. The technologies include receiving a query sequence for a biological specimen, determining an alignment of the query sequence for regions of interest, and determining whether a match exists upstream or downstream from the region of interest in a predetermined database of genetic engineering context signatures. The search range may be predetermined based on each context signature. The technologies further include determining an alignment of the query sequence against a predetermined database of sequences indicative of genetic engineering, and determining whether a similarity score of the alignment exceeds a predetermined threshold. The database may include a genetic engineering protein database or a genetic engineering organism database. Other embodiments are described and claimed.

The present invention relates to methods, devices and systems for associating consumable data with an assay consumable used in a biological assay. Provided are assay systems and associated consumables, wherein the assay system adjusts one or more steps of an assay protocol based on consumable data specific for that consumable. Various types of consumable data are described, as well as methods of using such information in the conduct of an assay by an assay system.

Exemplary methods for identifying hybrids for use in a plant breeding pipeline are disclosed. One exemplary computer-implemented method includes accessing a data structure including data representative of a pool of hybrids and determining a prediction score for at least a portion of the hybrids included in the pool based on the data included in the data structure. The prediction score is indicative of a probability of selection and/or a probability of success of the hybrid based on historical data. The method further includes selecting a group of hybrids from the pool based on the prediction score, identifying a set of hybrids, from the group of hybrids, based on an expected performance of the set of hybrids and/or one or more factors associated with the hybrids and/or lines making up the hybrids, and also directing the set of hybrids to a further iteration or different phase in the breeding pipeline.

Exemplary methods for identifying hybrids for use in a plant breeding pipeline are disclosed. One exemplary computer-implemented method includes accessing a data structure including data representative of a pool of hybrids and determining a prediction score for at least a portion of the hybrids included in the pool based on the data included in the data structure. The prediction score is indicative of a probability of selection and/or a probability of success of the hybrid based on historical data. The method further includes selecting a group of hybrids from the pool based on the prediction score, identifying a set of hybrids, from the group of hybrids, based on an expected performance of the set of hybrids and/or one or more factors associated with the hybrids and/or lines making up the hybrids, and also directing the set of hybrids to a further iteration or different phase in the breeding pipeline.

The present disclosure relates, generally, to nucleotide sequence data and, more particularly, to computer files and methods supporting forensic DNA analysis. In one illustrative embodiment, a method may comprise identifying a locus corresponding to each item of short tandem repeat (STR) profiling data stored in an existing computer file, wherein the STR profiling data stored in the existing computer file is repeat-based and/or length-based; identifying start and stop coordinates of an STR region of the corresponding locus for each item of STR profiling data stored in the existing computer file; creating an ambiguous text string corresponding to each item of STR profiling data stored in the existing computer file, wherein each ambiguous text string consists of a sequence of ambiguous characters extending from the start coordinate to the stop coordinate identified for the corresponding item of STR profiling data; and storing each ambiguous text string in a sequence-based computer file.

The present disclosure relates, generally, to nucleotide sequence data and, more particularly, to computer files and methods supporting forensic DNA analysis. In one illustrative embodiment, a method may comprise identifying a locus corresponding to each item of short tandem repeat (STR) profiling data stored in an existing computer file, wherein the STR profiling data stored in the existing computer file is repeat-based and/or length-based; identifying start and stop coordinates of an STR region of the corresponding locus for each item of STR profiling data stored in the existing computer file; creating an ambiguous text string corresponding to each item of STR profiling data stored in the existing computer file, wherein each ambiguous text string consists of a sequence of ambiguous characters extending from the start coordinate to the stop coordinate identified for the corresponding item of STR profiling data; and storing each ambiguous text string in a sequence-based computer file.