Abstract: Illustrative embodiments of systems and methods for the identification of traits associated with DNA samples using epigenetic-based patterns detected via massively parallel sequencing (MPS) are disclosed. Illustrative embodiments may involve digesting a DNA sample with a methylation-dependent endonuclease, amplifying loci of the digested DNA sample (including a positive control locus that does not contain a restriction site for the methylation-dependent endonuclease) using a multiplex PCR to produce amplicons, sequencing the amplicons using an MPS instrument to generate sequence reads, determining a sequence count for each of the loci by comparing each of the sequence reads to reference sequences, normalizing the sequence count for each of the loci to the sequence count of the positive control locus, and identifying a trait associated with the DNA sample by applying a classification algorithm to the normalized sequence counts.

Abstract: Illustrative embodiments of systems and methods for the identification of traits associated with DNA samples using epigenetic-based patterns detected via massively parallel sequencing (MPS) are disclosed. Illustrative embodiments may involve digesting a DNA sample with a methylation-dependent endonuclease, amplifying loci of the digested DNA sample (including a positive control locus that does not contain a restriction site for the methylation-dependent endonuclease) using a multiplex PCR to produce amplicons, sequencing the amplicons using an MPS instrument to generate sequence reads, determining a sequence count for each of the loci by comparing each of the sequence reads to reference sequences, normalizing the sequence count for each of the loci to the sequence count of the positive control locus, and identifying a trait associated with the DNA sample by applying a classification algorithm to the normalized sequence counts.

Abstract: 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.

Abstract: Illustrative embodiments of systems and methods for the identification of traits associated with DNA samples using epigenetic-based patterns detected via massively parallel sequencing (MPS) are disclosed. Illustrative embodiments may involve digesting a DNA sample with a methylation-dependent endonuclease, amplifying loci of the digested DNA sample (including a positive control locus that does not contain a restriction site for the methylation-dependent endonuclease) using a multiplex PCR to produce amplicons, sequencing the amplicons using an MPS instrument to generate sequence reads, determining a sequence count for each of the loci by comparing each of the sequence reads to reference sequences, normalizing the sequence count for each of the loci to the sequence count of the positive control locus, and identifying a trait associated with the DNA sample by applying a classification algorithm to the normalized sequence counts.

Abstract: Illustrative embodiments of systems and methods for the identification of traits associated with DNA samples using epigenetic-based patterns detected via massively parallel sequencing (MPS) are disclosed. Illustrative embodiments may involve digesting a DNA sample with a methylation-dependent endonuclease, amplifying loci of the digested DNA sample (including a positive control locus that does not contain a restriction site for the methylation-dependent endonuclease) using a multiplex PCR to produce amplicons, sequencing the amplicons using an MPS instrument to generate sequence reads, determining a sequence count for each of the loci by comparing each of the sequence reads to reference sequences, normalizing the sequence count for each of the loci to the sequence count of the positive control locus, and identifying a trait associated with the DNA sample by applying a classification algorithm to the normalized sequence counts.

Abstract: An agricultural composition comprises living microorganisms encapsulated in polymer gel microbeads which are applied onto seeds. In another embodiment, an agricultural composition comprises living microorganisms encapsulated in polymer gel macroheads for planting with seeds in soil. In another embodiment, an agricultural composition comprises living microorganisms immobilized in a polymer gel matrix that is coated on a seed.

Abstract: Illustrative embodiments of systems and methods for the identification of traits associated with DNA samples using epigenetic-based patterns detected via massively parallel sequencing (MPS) are disclosed. Illustrative embodiments may involve digesting a DNA sample with a methylation-dependent endonuclease, amplifying loci of the digested DNA sample (including a positive control locus that does not contain a restriction site for the methylation-dependent endonuclease) using a multiplex PCR to produce amplicons, sequencing the amplicons using an MPS instrument to generate sequence reads, determining a sequence count for each of the loci by comparing each of the sequence reads to reference sequences, normalizing the sequence count for each of the loci to the sequence count of the positive control locus, and identifying a trait associated with the DNA sample by applying a classification algorithm to the normalized sequence counts.