Abstract:
The disclosed embodiments concern methods, systems and computer program products for determining sequences of interest using unique molecular indexes (UMIs) that are uniquely associable with individual polynucleotide fragments, including sequences with low allele frequencies or long sequence length. In some implementations, the UMIs include variable-length nonrandom UMIs (vNRUMIs). Methods and systems for making and using sequencing adapters comprising vNRUMIs are also provided.
Abstract:
The disclosed embodiments concern methods, apparatus, systems and computer program products for determining sequences of interest using unique molecular index sequences that are uniquely associable with individual polynucleotide fragments, including sequences with low allele frequencies and long sequence length. In some implementations, the unique molecular index sequences include variable-length nonrandom sequences. In some implementations, the unique molecular index sequences are associated with the individual polynucleotide fragments based on alignment scores indicating similarity between the unique molecular index sequences and subsequences of sequence reads obtained from the individual polynucleotide fragments. System, apparatus, and computer program products are also provided for determining a sequence of interest implementing the methods disclosed.
Abstract:
The disclosed embodiments concern methods, apparatus, systems and computer program products for determining sequences of interest using unique molecular index sequences that are uniquely associable with individual polynucleotide fragments, including sequences with low allele frequencies and long sequence length. In some implementations, the unique molecular index sequences include variable-length nonrandom sequences. In some implementations, the unique molecular index sequences are associated with the individual polynucleotide fragments based on alignment scores indicating similarity between the unique molecular index sequences and subsequences of sequence reads obtained from the individual polynucleotide fragments. System, apparatus, and computer program products are also provided for determining a sequence of interest implementing the methods disclosed.
Abstract:
The disclosed embodiments concern methods, systems and computer program products for determining sequences of interest using unique molecular indexes (UMIs) that are uniquely associable with individual polynucleotide fragments, including sequences with low allele frequencies or long sequence length. In some implementations, the UMIs include variable-length nonrandom UMIs (vNRUMIs). Methods and systems for making and using sequencing adapters comprising vNRUMIs are also provided.
Abstract:
Presented are methods and compositions for spatial detection and analysis of nucleic acids in a tissue sample. The methods can enable the characterization of transcriptomes and/or genomic variations in tissues while preserving spatial information about the tissue.
Abstract:
The disclosed embodiments concern methods, apparatus, systems and computer program products for determining sequences of interest using unique molecular index (UMI) sequences that are uniquely associable with individual polynucleotide fragments, including sequences with low allele frequencies and long sequence length. In some implementations, the UMIs include both physical UMIs and virtual UMIs. In some implementations, the unique molecular index sequences include non-random sequences. System, apparatus, and computer program products are also provided for determining a sequence of interest implementing the methods disclosed.
Abstract:
A potential prognostic biomarker is based on a combination of a composite score generated by sequence analysis of global human endogenous retrovirus (hERV)/retro-transposon transactivation and a cell signature generated using deconvolution of immune cells within a tumor sample for predicting the efficacy of chemotherapeutic agents and immune checkpoint inhibitors. Correlation analysis of the composite score with cell signature within a tumor sample enables survival analysis in individuals receiving chemotherapeutic agents and immune checkpoint inhibitors.
Abstract:
Presented are methods and compositions for spatial detection and analysis of nucleic acids in a tissue sample. The methods can enable the characterization of transcriptomes and/or genomic variations in tissues while preserving spatial information about the tissue.
Abstract:
The disclosed embodiments concern methods, systems and computer program products for determining sequences of interest using unique molecular indexes (UMIs) that are uniquely associable with individual polynucleotide fragments, including sequences with low allele frequencies or long sequence length. In some implementations, the UMIs include variable-length nonrandom UMIs (vNRUMIs). Methods and systems for making and using sequencing adapters comprising vNRUMIs are also provided.
Abstract:
The disclosed embodiments concern methods, apparatus, systems and computer program products for determining sequences of interest using unique molecular index (UMI) sequences that are uniquely associable with individual polynucleotide fragments, including sequences with low allele frequencies and long sequence length. In some implementations, the UMIs include both physical UMIs and virtual UMIs. In some implementations, the unique molecular index sequences include non-random sequences. System, apparatus, and computer program products are also provided for determining a sequence of interest implementing the methods disclosed.