Methods for characterizing genome editing, clonal expansion and associated reagents for use in such methods are disclosed herein. Some embodiments of the technology are directed to characterizing a population of cells following an engineered genomic editing event, that includes in some embodiments characterizing genomic alterations occurring at both intended and unintended genomic loci within the genome of the populations of cells. Other embodiments are directed to utilizing Duplex Sequencing for assessing a clonal selection in mixed cell populations and/or cell populations following a genomic editing event. Further examples of the present technology are directed to methods for detecting and assessing clonal expansion of cells following a genomic editing event.

Methods for characterizing genome editing, clonal expansion and associated reagents for use in such methods are disclosed herein. Some embodiments of the technology are directed to characterizing a population of cells following an engineered genomic editing event, that includes in some embodiments characterizing genomic alterations occurring at both intended and unintended genomic loci within the genome of the populations of cells. Other embodiments are directed to utilizing Duplex Sequencing for assessing a clonal selection in mixed cell populations and/or cell populations following a genomic editing event. Further examples of the present technology are directed to methods for detecting and assessing clonal expansion of cells following a genomic editing event.

A method is used for the qualitative evaluation of real-time PCR data, where a time/PCR amplification plot of an associated sample is classified as a negative plot or as a positive plot. The method involves providing a real-time PCR amplification plot to be classified, plotting at least 20 successive amplitude values of corresponding successive PCR cycle indices of the sample. Next, a quality metric is determined, on the basis of the at least one amplitude value. A first criterion is determined by a comparison of the quality metric with a first standard value. A sequence of values is then determined, which indicates a gradient of the PCR amplification plot to be classified, and a second criterion is determined as to whether the sequence of values exceeds a second standard value. Finally, the real-time PCR amplification plot is classified as a positive plot if all the criteria given above are satisfied.

A method is used for the qualitative evaluation of real-time PCR data, where a time/PCR amplification plot of an associated sample is classified as a negative plot or as a positive plot. The method involves providing a real-time PCR amplification plot to be classified, plotting at least 20 successive amplitude values of corresponding successive PCR cycle indices of the sample. Next, a quality metric is determined, on the basis of the at least one amplitude value. A first criterion is determined by a comparison of the quality metric with a first standard value. A sequence of values is then determined, which indicates a gradient of the PCR amplification plot to be classified, and a second criterion is determined as to whether the sequence of values exceeds a second standard value. Finally, the real-time PCR amplification plot is classified as a positive plot if all the criteria given above are satisfied.

A method determines a number of copies of a DNA sequence that is present in a fluid. The method includes a division step, a setting up step, an identification step, and an evaluation step. In the division step, at least some of the fluid is divided into at least two compartments. In the setting up step, a reaction condition is set up for the fluid divided into the at least two compartments in order to allow a reaction in each of the at least two compartments and to obtain a reaction result in each case. In the identification step, a signal, for example an optical signal, is identified that represents the reaction results of the reactions that may have taken place in the compartments. In the evaluation step, the optical signal is evaluated in order to determine the number of copies.

A method determines a number of copies of a DNA sequence that is present in a fluid. The method includes a division step, a setting up step, an identification step, and an evaluation step. In the division step, at least some of the fluid is divided into at least two compartments. In the setting up step, a reaction condition is set up for the fluid divided into the at least two compartments in order to allow a reaction in each of the at least two compartments and to obtain a reaction result in each case. In the identification step, a signal, for example an optical signal, is identified that represents the reaction results of the reactions that may have taken place in the compartments. In the evaluation step, the optical signal is evaluated in order to determine the number of copies.

Provided herein are methods, processes and apparatuses for non-invasive assessment of genetic variations.

Provided herein are methods, processes and apparatuses for non-invasive assessment of genetic variations.

The invention provides systems and methods for analyzing viruses by representing viral genetic diversity with a directed acyclic graph (DAG), which allows genetic sequencing technology to detect rare variations and represent otherwise difficult-to-document diversity within a sample. Additionally, a host-specific sequence DAG can be used to effectively segregate viral nucleic acid sequence reads from host sequence reads when a sample from a host is subject to sequencing. Known viral genomes can be represented using a viral reference DAG and the viral sequence reads from the sample can be compared to viral DAG to identify viral species or strains from which the reads were derived. Where the viral sequence reads indicate great genetic diversity in the virus that was infecting the host, those reads can be assembled into a DAG that itself properly represents that diversity.

The invention provides systems and methods for analyzing viruses by representing viral genetic diversity with a directed acyclic graph (DAG), which allows genetic sequencing technology to detect rare variations and represent otherwise difficult-to-document diversity within a sample. Additionally, a host-specific sequence DAG can be used to effectively segregate viral nucleic acid sequence reads from host sequence reads when a sample from a host is subject to sequencing. Known viral genomes can be represented using a viral reference DAG and the viral sequence reads from the sample can be compared to viral DAG to identify viral species or strains from which the reads were derived. Where the viral sequence reads indicate great genetic diversity in the virus that was infecting the host, those reads can be assembled into a DAG that itself properly represents that diversity.