The invention generally relates to compositions for maximizing capture of affinity-labeled molecules on solid supports. The disclosed methods and compositions were developed to maximize depletion of ribosomal RNA from total RNA samples, which is useful to improve the quality of RNA preparations used for applications such as massively parallel sequencing. The RNA depletion method is based on using long affinity-labeled RNA molecules that are complementary to all or part of the target ribosomal RNAs, as subtractive hybridization probes.

The invention generally relates to compositions for maximizing capture of affinity-labeled molecules on solid supports. The disclosed methods and compositions were developed to maximize depletion of ribosomal RNA from total RNA samples, which is useful to improve the quality of RNA preparations used for applications such as massively parallel sequencing. The RNA depletion method is based on using long affinity-labeled RNA molecules that are complementary to all or part of the target ribosomal RNAs, as subtractive hybridization probes.

The present disclosure provides methods for nucleic acid sequence identification. The methods may comprise bringing a plurality of nucleic acid molecules in contact with a reaction mixture including a concentration of nucleotides that results in fractional labeling of the nucleic acid molecules. The methods may comprise starting a next reversibly-terminated, sequencing cycle prior to completion of unblocking of reversible terminators in a previous sequencing cycle.

The present disclosure provides methods for nucleic acid sequence identification. The methods may comprise bringing a plurality of nucleic acid molecules in contact with a reaction mixture including a concentration of nucleotides that results in fractional labeling of the nucleic acid molecules. The methods may comprise starting a next reversibly-terminated, sequencing cycle prior to completion of unblocking of reversible terminators in a previous sequencing cycle.

A novel method for prediction of the degree of heterotic phenotypes in plants is disclosed. Structural variation analyses of the genome are used to predict the degree of a heterotic phenotype in plants. In some examples, copy number variation is used to predict the degree of heterotic phenotype. In some methods copy number variation is detected using competitive genomic hybridization arrays. Further, methods for optimizing the arrays are disclosed, together with kits for producing such arrays, as well as hybrid plants selected for development based on the predicted results.

A novel method for prediction of the degree of heterotic phenotypes in plants is disclosed. Structural variation analyses of the genome are used to predict the degree of a heterotic phenotype in plants. In some examples, copy number variation is used to predict the degree of heterotic phenotype. In some methods copy number variation is detected using competitive genomic hybridization arrays. Further, methods for optimizing the arrays are disclosed, together with kits for producing such arrays, as well as hybrid plants selected for development based on the predicted results.

Methods, compositions, and kits comprising target-specific oligonucleotides (TSOs) are disclosed herein. Methods, compositions, and kits comprising target-specific oligonucleotides (TSOs) can be used to attach adapters and/or linkers to target RNAs. Methods, compositions, and kits comprising target-specific oligonucleotides (TSOs) can be used in reactions, including, but not limited to, ligation reactions, amplification reactions, and sequencing reactions. Additionally, methods, compositions, and kits comprising target-specific oligonucleotides (TSOs) can be used for reducing and/or preventing the formation of secondary structures in target RNAs. These methods, compositions, and kits can also find use in a number of applications, for example, any application that benefits from stabilizing primary RNA structure, such as detecting and quantifying target RNAs in a sample, in the construction of small RNA libraries, in microarray and RT-qPCR applications, etc.

Methods, compositions, and kits comprising target-specific oligonucleotides (TSOs) are disclosed herein. Methods, compositions, and kits comprising target-specific oligonucleotides (TSOs) can be used to attach adapters and/or linkers to target RNAs. Methods, compositions, and kits comprising target-specific oligonucleotides (TSOs) can be used in reactions, including, but not limited to, ligation reactions, amplification reactions, and sequencing reactions. Additionally, methods, compositions, and kits comprising target-specific oligonucleotides (TSOs) can be used for reducing and/or preventing the formation of secondary structures in target RNAs. These methods, compositions, and kits can also find use in a number of applications, for example, any application that benefits from stabilizing primary RNA structure, such as detecting and quantifying target RNAs in a sample, in the construction of small RNA libraries, in microarray and RT-qPCR applications, etc.

The present invention relates to methods and systems for nucleic acid sequencing. In particular, the present invention relates to methods and systems for reducing the number of false-positives in nucleic acid sequencing. The method comprises: aligning a plurality of genetic reads to a reference genetic sequence; grouping the genetic reads into a plurality of groups; creating a consensus sequence for each group of the plurality of groups by setting a representation of the most abundant nucleotide man_p or a tag N based on a ratio r; and identifying a variation as a true variation if a ratio r* between the number of consensus sequences comprising the tag N at a specific position p and the number of the consensus sequences comprising the variation at the specific position p is below a threshold t*.

The present invention relates to methods and systems for nucleic acid sequencing. In particular, the present invention relates to methods and systems for reducing the number of false-positives in nucleic acid sequencing. The method comprises: aligning a plurality of genetic reads to a reference genetic sequence; grouping the genetic reads into a plurality of groups; creating a consensus sequence for each group of the plurality of groups by setting a representation of the most abundant nucleotide man_p or a tag N based on a ratio r; and identifying a variation as a true variation if a ratio r* between the number of consensus sequences comprising the tag N at a specific position p and the number of the consensus sequences comprising the variation at the specific position p is below a threshold t*.