Next Generation DNA sequencing promises to revolutionize clinical medicine and basic research. However, while this technology has the capacity to generate hundreds of billions of nucleotides of DNA sequence in a single experiment, the error rate of approximately 1% results in hundreds of millions of sequencing mistakes. These scattered errors can be tolerated in some applications but become extremely problematic when “deep sequencing” genetically heterogeneous mixtures, such as tumors or mixed microbial populations. To overcome limitations in sequencing accuracy, a method Duplex Consensus Sequencing (DCS) is provided. This approach greatly reduces errors by independently tagging and sequencing each of the two strands of a DNA duplex. As the two strands are complementary, true mutations are found at the same position in both strands. In contrast, PCR or sequencing errors will result in errors in only one strand. This method uniquely capitalizes on the redundant information stored in double-stranded DNA, thus overcoming technical limitations of prior methods utilizing data from only one of the two strands.

Next Generation DNA sequencing promises to revolutionize clinical medicine and basic research. However, while this technology has the capacity to generate hundreds of billions of nucleotides of DNA sequence in a single experiment, the error rate of approximately 1% results in hundreds of millions of sequencing mistakes. These scattered errors can be tolerated in some applications but become extremely problematic when “deep sequencing” genetically heterogeneous mixtures, such as tumors or mixed microbial populations. To overcome limitations in sequencing accuracy, a method Duplex Consensus Sequencing (DCS) is provided. This approach greatly reduces errors by independently tagging and sequencing each of the two strands of a DNA duplex. As the two strands are complementary, true mutations are found at the same position in both strands. In contrast, PCR or sequencing errors will result in errors in only one strand. This method uniquely capitalizes on the redundant information stored in double-stranded DNA, thus overcoming technical limitations of prior methods utilizing data from only one of the two strands.

In some aspects, the present disclosure provides methods for identifying sequence variants, as well as methods of determining copy number of a genetic locus in a sample. Systems and kits for performing methods of the disclosure, as well as compositions produced by or useful in methods of the disclosure are also provided.

In some aspects, the present disclosure provides methods for identifying sequence variants, as well as methods of determining copy number of a genetic locus in a sample. Systems and kits for performing methods of the disclosure, as well as compositions produced by or useful in methods of the disclosure are also provided.

Next Generation DNA sequencing promises to revolutionize clinical medicine and basic research. However, while this technology has the capacity to generate hundreds of billions of nucleotides of DNA sequence in a single experiment, the error rate of approximately 1% results in hundreds of millions of sequencing mistakes. These scattered errors can be tolerated in some applications but become extremely problematic when “deep sequencing” genetically heterogeneous mixtures, such as tumors or mixed microbial populations. To overcome limitations in sequencing accuracy, a method Duplex Consensus Sequencing (DCS) is provided. This approach greatly reduces errors by independently tagging and sequencing each of the two strands of a DNA duplex. As the two strands are complementary, true mutations are found at the same position in both strands. In contrast, PCR or sequencing errors will result in errors in only one strand. This method uniquely capitalizes on the redundant information stored in double-stranded DNA, thus overcoming technical limitations of prior methods utilizing data from only one of the two strands.

Next Generation DNA sequencing promises to revolutionize clinical medicine and basic research. However, while this technology has the capacity to generate hundreds of billions of nucleotides of DNA sequence in a single experiment, the error rate of approximately 1% results in hundreds of millions of sequencing mistakes. These scattered errors can be tolerated in some applications but become extremely problematic when “deep sequencing” genetically heterogeneous mixtures, such as tumors or mixed microbial populations. To overcome limitations in sequencing accuracy, a method Duplex Consensus Sequencing (DCS) is provided. This approach greatly reduces errors by independently tagging and sequencing each of the two strands of a DNA duplex. As the two strands are complementary, true mutations are found at the same position in both strands. In contrast, PCR or sequencing errors will result in errors in only one strand. This method uniquely capitalizes on the redundant information stored in double-stranded DNA, thus overcoming technical limitations of prior methods utilizing data from only one of the two strands.

Technology provided herein relates in part to methods, processes, machines and apparatuses for determining sequences of nucleotides for nucleic acid templates in a nucleic acid sample. The technology provide herein also relates in part to methods, processes, machines and apparatuses for counting nucleic acid templates. Nucleic acid templates of a sample are tagged with nonrandom oligonucleotide adapters that include predetermined non-randomly generated sequences. The use of these nonrandom oligonucleotide adapters provides an efficient method to reduce sequencing errors, and increase the sensitivity of detection of low-frequency single nucleotide alterations.

Technology provided herein relates in part to methods, processes, machines and apparatuses for determining sequences of nucleotides for nucleic acid templates in a nucleic acid sample. The technology provide herein also relates in part to methods, processes, machines and apparatuses for counting nucleic acid templates. Nucleic acid templates of a sample are tagged with nonrandom oligonucleotide adapters that include predetermined non-randomly generated sequences. The use of these nonrandom oligonucleotide adapters provides an efficient method to reduce sequencing errors, and increase the sensitivity of detection of low-frequency single nucleotide alterations.

The present disclosure relates to a method for amplification and quantitation of a small amount of mutation using a molecular barcode and a blocking oligonucleotide.

The present disclosure relates to a method for amplification and quantitation of a small amount of mutation using a molecular barcode and a blocking oligonucleotide.