Abstract: The present invention belongs to the field of genomics and nucleic acid sequencing. It involves a novel method of sequencing biological material and real-time probabilistic matching of short strings of sequencing information to identify all species present in said biological material. It is related to real-time probabilistic matching of sequence information, and more particular to comparing short strings of a plurality of sequences of single molecule nucleic acids, whether amplified or unamplied, whether chemically synthesized or physically interrogated, as fast as the sequence information is generated and in parallel with continuous sequence information generation or collection.

Abstract: The present invention relates to systems and methods capable of characterizing populations of organisms within a sample. The characterization may utilize probabilistic matching of short strings of sequencing information to identify genomes from a reference genomic database to which the short strings belong. The characterization may include identification of the microbial community of the sample to the species and/or sub-species and/or strain level with their relative concentrations or abundance. In addition, the system and methods may enable rapid identification of organisms including both pathogens and commensals in clinical samples, and the identification may be achieved by a comparison of many (e.g., hundreds to millions) metagenomic fragments, which have been captured from a sample and sequenced, to many (e.g., millions or billions) of archived sequence information of genomes (i.e., reference genomic databases).

Abstract: The present invention belongs to the field of genomics and nucleic acid sequencing. It involves a novel method of sequencing biological material and real-time probabilistic matching of short strings of sequencing information to identify all species present in said biological material. It is related to real-time probabilistic matching of sequence information, and more particular to comparing short strings of a plurality of sequences of single molecule nucleic acids, whether amplified or unamplied, whether chemically synthesized or physically interrogated, as fast as the sequence information is generated and in parallel with continuous sequence information generation or collection.

Abstract: The present invention relates to systems and methods for the characterization of biological material within a sample or isolate. The characterization may utilize probabilistic methods that compare sequencing information from fragment reads to sequencing information of reference genomic databases and/or trait-specific database catalogs. The characterization may be of the identities and/or relative concentrations or abundance of one or more organisms contained in the sample or isolate. The identification of the organisms may be to the species and/or sub-species and/or strain level with their relative concentrations or abundance. The characterization may additionally or alternatively be of one or more traits (i.e., characteristics) of the biological material contained in the sample or isolate. The characterization of the one or more traits may be with the relative abundance of the traits.

Abstract: The present invention belongs to the field of genomics and nucleic acid sequencing. It involves a novel method of sequencing biological material and real-time probabilistic matching of short strings of sequencing information to identify all species present in said biological material. It is related to real-time probabilistic matching of sequence information, and more particular to comparing short strings of a plurality of sequences of single molecule nucleic acids, whether amplified or unamplied, whether chemically synthesized or physically interrogated, as fast as the sequence information is generated and in parallel with continuous sequence information generation or collection.

Abstract: The present invention relates to systems and methods capable of characterizing populations of organisms within a sample. The characterization may utilize probabilistic matching of short strings of sequencing information to identify genomes from a reference genomic database to which the short strings belong. The characterization may include identification of the microbial community of the sample to the species and/or sub-species and/or strain level with their relative concentrations or abundance. In addition, the system and methods may enable rapid identification of organisms including both pathogens and commensals in clinical samples, and the identification may be achieved by a comparison of many (e.g., hundreds to millions) metagenomic fragments, which have been captured from a sample and sequenced, to many (e.g., millions or billions) of archived sequence information of genomes (i.e., reference genomic databases).

Abstract: The present invention relates to systems and methods capable of characterizing populations of organisms within a sample. The characterization may utilize probabilistic matching of short strings of sequencing information to identify genomes from a reference genomic database to which the short strings belong. The characterization may include identification of the microbial community of the sample to the species and/or sub-species and/or strain level with their relative concentrations or abundance. In addition, the system and methods may enable rapid identification of organisms including both pathogens and commensals in clinical samples, and the identification may be achieved by a comparison of many (e.g., hundreds to millions) metagenomic fragments, which have been captured from a sample and sequenced, to many (e.g., millions or billions) of archived sequence information of genomes (i.e., reference genomic databases).

Abstract: The present invention belongs to the field of genomics and nucleic acid sequencing. It involves a novel method of sequencing biological material and real-time probabilistic matching of short strings of sequencing information to identify all species present in said biological material. It is related to real-time probabilistic matching of sequence information, and more particular to comparing short strings of a plurality of sequences of single molecule nucleic acids, whether amplified or unamplied, whether chemically synthesized or physically interrogated, as fast as the sequence information is generated and in parallel with continuous sequence information generation or collection.