Abstract: The invention generally provides systems and methods for analysis of RNA-Seq reads in which an annotated reference is represented as a directed acyclic graph (DAG) or similar data structure. Features such as exons and introns from the reference provide nodes in the DAG and those features are linked as pairs in their canonical genomic order by edges. The DAG can scale to any size and can in fact be populated in the first instance by import from an extrinsic annotated reference.

Abstract: Methods of analyzing a transcriptome that involves obtaining at least one pair of paired-end reads from a transcriptome from an organism, finding an alignment with an optimal score between a first read of the pair and a node in a directed acyclic data structure (the data structure has nodes representing RNA sequences such as exons or transcripts and edges connecting pairs of nodes), identifying candidate paths that include the node connected to a downstream node by a path having a length substantially similar to an insert length of the pair of paired-end reads, and aligning the paired-end rends to the candidate paths to determine an optimal-scoring alignment.

Abstract: Methods of analyzing a transcriptome that involves obtaining at least one pair of paired-end reads from a transcriptome from an organism, finding an alignment with an optimal score between a first read of the pair and a node in a directed acyclic data structure (the data structure has nodes representing RNA sequences such as exons or transcripts and edges connecting pairs of nodes), identifying candidate paths that include the node connected to a downstream node by a path having a length substantially similar to an insert length of the pair of paired-end reads, and aligning the paired-end rends to the candidate paths to determine an optimal-scoring alignment.

Abstract: The invention generally provides systems and methods for analysis of RNA-Seq reads in which an annotated reference is represented as a directed acyclic graph (DAG) or similar data structure. Features such as exons and introns from the reference provide nodes in the DAG and those features are linked as pairs in their canonical genomic order by edges. The DAG can scale to any size and can in fact be populated in the first instance by import from an extrinsic annotated reference.

Abstract: Methods of analyzing a transcriptome that involves obtaining at least one pair of paired-end reads from a transcriptome from an organism, finding an alignment with an optimal score between a first read of the pair and a node in a directed acyclic data structure (the data structure has nodes representing RNA sequences such as exons or transcripts and edges connecting pairs of nodes), identifying candidate paths that include the node connected to a downstream node by a path having a length substantially similar to an insert length of the pair of paired-end reads, and aligning the paired-end rends to the candidate paths to determine an optimal-scoring alignment.

Abstract: The invention generally provides systems and methods for analysis of RNA-Seq reads in which an annotated reference is represented as a directed acyclic graph (DAG) or similar data structure. Features such as exons and introns from the reference provide nodes in the DAG and those features are linked as pairs in their canonical genomic order by edges. The DAG can scale to any size and can in fact be populated in the first instance by import from an extrinsic annotated reference.

Abstract: Methods of analyzing a transcriptome that involves obtaining at least one pair of paired-end reads from a transcriptome from an organism, finding an alignment with an optimal score between a first read of the pair and a node in a directed acyclic data structure (the data structure has nodes representing RNA sequences such as exons or transcripts and edges connecting pairs of nodes), identifying candidate paths that include the node connected to a downstream node by a path having a length substantially similar to an insert length of the pair of paired-end reads, and aligning the paired-end rends to the candidate paths to determine an optimal-scoring alignment.

Abstract: The invention generally provides systems and methods for analysis of RNA-Seq reads in which an annotated reference is represented as a directed acyclic graph (DAG) or similar data structure. Features such as exons and introns from the reference provide nodes in the DAG and those features are linked as pairs in their canonical genomic order by edges. The DAG can scale to any size and can in fact be populated in the first instance by import from an extrinsic annotated reference.