Abstract: Compositions, methods and kits are disclosed for high-sensitivity single molecule digital counting by the stochastic labeling of a collection of identical molecules by attachment of a diverse set of labels. Each copy of a molecule randomly chooses from a non-depleting reservoir of diverse labels. Detection may be by a variety of methods including hybridization based or sequencing. Molecules that would otherwise be identical in information content can be labeled to create a separately detectable product that is unique or approximately unique in a collection. This stochastic transformation relaxes the problem of counting molecules from one of locating and identifying identical molecules to a series of binary digital questions detecting whether preprogrammed labels are present. The methods may be used, for example, to estimate the number of separate molecules of a given type or types within a sample.

Abstract: Methods are provided for multiplexed amplification of selected targets and analysis of the amplified targets. In preferred aspects the amplification and analysis take place on the same solid support and preferably in a localized area such as a bead or a feature of an array. In preferred aspects the analysis is a determination of sequence at one or more locations in the amplified target. The methods may be used for genotyping, sequencing and analysis of copy number.

Abstract: Compositions, methods and kits are disclosed for high-sensitivity single molecule digital counting by the stochastic labeling of a collection of identical molecules by attachment of a diverse set of labels. Each copy of a molecule randomly chooses from a non-depleting reservoir of diverse labels. Detection may be by a variety of methods including hybridization based or sequencing. Molecules that would otherwise be identical in information content can be labeled to create a separately detectable product that is unique or approximately unique in a collection. This stochastic transformation relaxes the problem of counting molecules from one of locating and identifying identical molecules to a series of binary digital questions detecting whether preprogrammed labels are present. The methods may be used, for example, to estimate the number of separate molecules of a given type or types within a sample.

Abstract: Compositions, methods and kits are disclosed for high-sensitivity single molecule digital counting by the stochastic labeling of a collection of identical molecules by attachment of a diverse set of labels. Each copy of a molecule randomly chooses from a non-depleting reservoir of diverse labels. Detection may be by a variety of methods including hybridization based or sequencing. Molecules that would otherwise be identical in information content can be labeled to create a separately detectable product that is unique or approximately unique in a collection. This stochastic transformation relaxes the problem of counting molecules from one of locating and identifying identical molecules to a series of binary digital questions detecting whether preprogrammed labels are present. The methods may be used, for example, to estimate the number of separate molecules of a given type or types within a sample.

Abstract: Methods are provided for multiplexed amplification of selected targets and analysis of the amplified targets. In preferred aspects the amplification and analysis take place on the same solid support and preferably in a localized area such as a bead or a feature of an array. Targets are circularized by hybridization to probes followed by ligation of the ends of the target to form a closed circle. The targets are then used as template for extension of an array bound probe resulting in extended probes having multiple copies of the target. The extended probes can then be analyzed. The methods may be used for genotyping, sequencing and analysis of copy number.

Abstract: Compositions, methods and kits are disclosed for high-sensitivity single molecule digital counting by the stochastic labeling of a collection of identical molecules by attachment of a diverse set of labels. Each copy of a molecule randomly chooses from a non-depleting reservoir of diverse labels. Detection may be by a variety of methods including hybridization based or sequencing. Molecules that would otherwise be identical in information content can be labeled to create a separately detectable product that is unique or approximately unique in a collection. This stochastic transformation relaxes the problem of counting molecules from one of locating and identifying identical molecules to a series of binary digital questions detecting whether preprogrammed labels are present. The methods may be used, for example, to estimate the number of separate molecules of a given type or types within a sample.

Abstract: Compositions, methods and kits are disclosed for high-sensitivity single molecule digital counting by the stochastic labeling of a collection of identical molecules by attachment of a diverse set of labels. Each copy of a molecule randomly chooses from a non-depleting reservoir of diverse labels. Detection may be by a variety of methods including hybridization based or sequencing. Molecules that would otherwise be identical in information content can be labeled to create a separately detectable product that is unique or approximately unique in a collection. This stochastic transformation relaxes the problem of counting molecules from one of locating and identifying identical molecules to a series of binary digital questions detecting whether preprogrammed labels are present. The methods may be used, for example, to estimate the number of separate molecules of a given type or types within a sample.

Abstract: Methods for detecting genomic rearrangements are provided. In one embodiment, methods are provided for the use of paired end tags from restriction fragments to detect genomic rearrangements. Sequences from the ends of the fragments are brought together to form ditags and the ditags are detected. Combinations of ditags are detected by an on-chip sequencing strategy that is described herein, using inosine for de novo sequencing of short segments of DNA. In another aspect, translocations are identified by using target specific capture and analysis of the captured products on a tiling array.

Abstract: Compositions, methods and kits are disclosed for high-sensitivity single molecule digital counting by the stochastic labeling of a collection of identical molecules by attachment of a diverse set of labels. Each copy of a molecule randomly chooses from a non-depleting reservoir of diverse labels. Detection may be by a variety of methods including hybridization based or sequencing. Molecules that would otherwise be identical in information content can be labeled to create a separately detectable product that is unique or approximately unique in a collection. This stochastic transformation relaxes the problem of counting molecules from one of locating and identifying identical molecules to a series of binary digital questions detecting whether preprogrammed labels are present. The methods may be used, for example, to estimate the number of separate molecules of a given type or types within a sample.

Abstract: Compositions, methods and kits are disclosed for high-sensitivity single molecule digital counting by the stochastic labeling of a collection of identical molecules by attachment of a diverse set of labels. Each copy of a molecule randomly chooses from a non-depleting reservoir of diverse labels. Detection may be by a variety of methods including hybridization based or sequencing. Molecules that would otherwise be identical in information content can be labeled to create a separately detectable product that is unique or approximately unique in a collection. This stochastic transformation relaxes the problem of counting molecules from one of locating and identifying identical molecules to a series of binary digital questions detecting whether preprogrammed labels are present. The methods may be used, for example, to estimate the number of separate molecules of a given type or types within a sample.

Abstract: Disclosed herein include methods and compositions for selectively amplifying and/or extending nucleic acid target molecules in a sample. The methods and compositions can, for example, reduce the amplification and/or extension of undesirable nucleic acid species in the sample, and/or allow selective removal of undesirable nucleic acid species in the sample.

Abstract: The invention relates to methods for enzymatic, genotyping of polymorphisms on solid supports. In some aspects the methods include ligation of allele or base specific interrogation probes to an array probe. The array probe is labeled by ligation of the interrogation probe. Ligation is dependent on the identity of the base immediately adjacent to the end of the array probe. In other aspects array bound probes are labeled by template dependent extension.

Abstract: Methods are provided for multiplexed amplification of selected targets and analysis of the amplified targets. In preferred aspects the amplification and analysis take place on the same solid support and preferably in a localized area such as a bead or a feature of an array. Targets are circularized by hybridization to probes followed by ligation of the ends of the target to form a closed circle. The targets are then used as template for extension of an array bound probe resulting in extended probes having multiple copies of the target. The extended probes can then be analyzed. The methods may be used for genotyping, sequencing and analysis of copy number.

Abstract: Methods for detecting genomic rearrangements are provided. In one embodiment, methods are provided for the use of paired end tags from restriction fragments to detect genomic rearrangements. Sequences from the ends of the fragments are brought together to form ditags and the ditags are detected. Combinations of ditags are detected by an on-chip sequencing strategy that is described herein, using inosine for de novo sequencing of short segments of DNA. In another aspect, translocations are identified by using target specific capture and analysis of the captured products on a tiling array.

Abstract: The disclosure provides for methods, compositions, and kits for multiplex nucleic acid analysis of single cells. The methods, compositions and systems may be used for massively parallel single cell sequencing. The methods, compositions and systems may be used to analyze thousands of cells concurrently. The thousands of cells may comprise a mixed population of cells (e.g., cells of different types or subtypes, different sizes).

Abstract: Compositions, methods and kits are disclosed for high-sensitivity single molecule digital counting by the stochastic labeling of a collection of identical molecules by attachment of a diverse set of labels. Each copy of a molecule randomly chooses from a non-depleting reservoir of diverse labels. Detection may be by a variety of methods including hybridization based or sequencing. Molecules that would otherwise be identical in information content can be labeled to create a separately detectable product that is unique or approximately unique in a collection. This stochastic transformation relaxes the problem of counting molecules from one of locating and identifying identical molecules to a series of binary digital questions detecting whether preprogrammed labels are present. The methods may be used, for example, to estimate the number of separate molecules of a given type or types within a sample.

Abstract: The invention relates to methods for enzymatic, genotyping of polymorphisms on solid supports. In some aspects the methods include ligation of allele or base specific interrogation probes to an array probe. The array probe is labeled by ligation of the interrogation probe. Ligation is dependent on the identity of the base immediately adjacent to the end of the array probe. In other aspects array bound probes are labeled by template dependent extension.

Abstract: Disclosed herein are methods and systems for determining the numbers of targets. In some embodiments, the method comprise: stochastically barcoding targets using stochastic barcodes; obtaining sequencing data; for one or more of the targets: counting the number of molecular labels with distinct sequences associated with the target in the sequencing data; identifying clusters of molecular labels of the target using directional adjacency; collapsing the sequencing data using the clusters of molecular labels of the target identified; and estimating the number of the target.

Abstract: Compositions, methods and kits are disclosed for high-sensitivity single molecule digital counting by the stochastic labeling of a collection of identical molecules by attachment of a diverse set of labels. Each copy of a molecule randomly chooses from a non-depleting reservoir of diverse labels. Detection may be by a variety of methods including hybridization based or sequencing. Molecules that would otherwise be identical in information content can be labeled to create a separately detectable product that is unique or approximately unique in a collection. This stochastic transformation relaxes the problem of counting molecules from one of locating and identifying identical molecules to a series of binary digital questions detecting whether preprogrammed labels are present. The methods may be used, for example, to estimate the number of separate molecules of a given type or types within a sample.

Abstract: Compositions, methods and kits are disclosed for high-sensitivity single molecule digital counting by the stochastic labeling of a collection of identical molecules by attachment of a diverse set of labels. Each copy of a molecule randomly chooses from a non-depleting reservoir of diverse labels. Detection may be by a variety of methods including hybridization based or sequencing. Molecules that would otherwise be identical in information content can be labeled to create a separately detectable product that is unique or approximately unique in a collection. This stochastic transformation relaxes the problem of counting molecules from one of locating and identifying identical molecules to a series of binary digital questions detecting whether preprogrammed labels are present. The methods may be used, for example, to estimate the number of separate molecules of a given type or types within a sample.