Abstract: The present disclosure relates to a laboratory execution system that provides for automation of laboratory processes. A centralized data management system may be dynamically updated and used to facilitate management of components of the laboratory execution system, such as an automation system and an analytics results management system that may facilitate complex analytical functions, such as synthesizing raw test data. Potential workflows include the detection of specific molecules of interest.

Abstract: The present disclosure relates to methods for detecting unique genetic signatures derived from markers such as, for example, mutations, somatic or germ-line, in nucleic acids obtained from biological samples. The sensitivity of the methods provides for detection of mutations associated with a disease, e.g., cancer mutations, or with inherited disease, e.g., an autosomal recessive disease, in a noninvasive manner at ultra-low proportions of sequences carrying mutations to sequences carrying normal, e.g., non-cancer sequences, or a reference sequence, e.g., a human reference genome.

Abstract: The present disclosure relates to a laboratory execution system that provides for automation of laboratory processes. A centralized data management system may be dynamically updated and used to facilitate management of components of the laboratory execution system, such as an automation system and an analytics results management system that may facilitate complex analytical functions, such as synthesizing raw test data. Potential workflows include the detection of specific molecules of interest.

Abstract: High-fidelity, high-throughput nucleic acid sequencing enables healthcare practitioners and patients to gain insight into genetic variants and potential health risks. However, previous methods of nucleic acid sequencing often introduces sequencing errors (for example, mutations that arise during the preparation of a nucleic acid library, during amplification, or sequencing). Provided herein are sequencing adapters comprising a nondegenerate or variable length molecular barcode and compositions comprising a plurality of sequencing adapters, which can be useful for sequencing nucleic acids. Further provided are methods of using the sequencing adapters, including methods of sequencing nucleic acids, methods of identifying an error in a nucleic acid sequence, and methods of determining the number of nucleic acid molecules in a library.

Abstract: The present disclosure relates to a laboratory execution system that provides for automation of laboratory processes. A centralized data management system may be dynamically updated and used to facilitate management of components of the laboratory execution system, such as an automation system and an analytics results management system that may facilitate complex analytical functions, such as synthesizing raw test data. Potential workflows include the detection of specific molecules of interest.

Abstract: High-fidelity, high-throughput nucleic acid sequencing enables healthcare practitioners and patients to gain insight into genetic variants and potential health risks. However, previous methods of nucleic acid sequencing often introduces sequencing errors (for example, mutations that arise during the preparation of a nucleic acid library, during amplification, or sequencing). Provided herein are sequencing adapters comprising a nondegenerate or variable length molecular barcode and compositions comprising a plurality of sequencing adapters, which can be useful for sequencing nucleic acids. Further provided are methods of using the sequencing adapters, including methods of sequencing nucleic acids, methods of identifying an error in a nucleic acid sequence, and methods of determining the number of nucleic acid molecules in a library.

Abstract: Described herein are methods for enriching test samples for target nucleic acid molecules for further genetic screening. Methods may comprise isolating nucleic acid from test subjects, preparing nucleic acid libraries wherein the nucleic acid molecules are tagged or barcoded to identify sample of origin, determining fragment size distribution, determining abundance of a target nucleic acid population, calculating numerical offset values to determine amount of libraries to add for fragment size selection, performing fragment size selection, and performing a diagnostic assay on a sample enriched for a target nucleic acid.

Abstract: The present disclosure relates to methods for detecting unique genetic signatures derived from markers such as, for example, mutations, somatic or germ-line, in nucleic acids obtained from biological samples. The sensitivity of the methods provides for detection of mutations associated with a disease, e.g., cancer mutations, or with inherited disease, e.g., an autosomal recessive disease, in a noninvasive manner at ultra-low proportions of sequences carrying mutations to sequences carrying normal, e.g., non-cancer sequences, or a reference sequence, e.g., a human reference genome.

Abstract: The present disclosure relates to methods for detecting unique genetic signatures derived from markers such as, for example, mutations, somatic or germ-line, in nucleic acids obtained from biological samples. The sensitivity of the methods provides for detection of mutations associated with a disease, e.g., cancer mutations, or with inherited disease, e.g., an autosomal recessive disease, in a noninvasive manner at ultra-low proportions of sequences carrying mutations to sequences carrying normal, e.g., non-cancer sequences, or a reference sequence, e.g., a human reference genome.

Abstract: The present disclosure relates to methods for detecting unique genetic signatures derived from markers such as, for example, mutations, somatic or germ-line, in nucleic acids obtained from biological samples. The sensitivity of the methods provides for detection of mutations associated with a disease, e.g., cancer mutations, or with inherited disease, e.g., an autosomal recessive disease, in a noninvasive manner at ultra-low proportions of sequences carrying mutations to sequences carrying normal, e.g., non-cancer sequences, or a reference sequence, e.g., a human reference genome.

Abstract: The present disclosure relates to methods for detecting unique genetic signatures derived from markers such as, for example, mutations, somatic or germ-line, in nucleic acids obtained from biological samples. The sensitivity of the methods provides for detection of mutations associated with a disease, e.g., cancer mutations, or with inherited disease, e.g., an autosomal recessive disease, in a noninvasive manner at ultra-low proportions of sequences carrying mutations to sequences carrying normal, e.g., non-cancer sequences, or a reference sequence, e.g., a human reference genome.

Abstract: Capture probe libraries can be used to enrich a region of interest in a sequencing library for high-depth sequencing. The capture probes within the capture probe libraries often do not function in a predictable or uniform manner. Described herein are balanced capture probe libraries and methods of balancing capture probe libraries. A sequencing library can be enriched using balanced capture probe libraries, and the enriched sequencing library can be sequenced to obtain a sequencing depth closer to a desired sequencing depth.

Abstract: High-fidelity, high-throughput nucleic acid sequencing enables healthcare practitioners and patients to gain insight into genetic variants and potential health risks. However, previous methods of nucleic acid sequencing often introduces sequencing errors (for example, mutations that arise during the preparation of a nucleic acid library, during amplification, or sequencing). Provided herein are sequencing adapters comprising a nondegenerate or variable length molecular barcode and compositions comprising a plurality of sequencing adapters, which can be useful for sequencing nucleic acids. Further provided are methods of using the sequencing adapters, including methods of sequencing nucleic acids, methods of identifying an error in a nucleic acid sequence, and methods of determining the number of nucleic acid molecules in a library.

Abstract: The present disclosure relates to methods for detecting unique genetic signatures derived from markers such as, for example, mutations, somatic or germ-line, in nucleic acids obtained from biological samples. The sensitivity of the methods provides for detection of mutations associated with a disease, e.g., cancer mutations, or with inherited disease, e.g., an autosomal recessive disease, in a noninvasive manner at ultra-low proportions of sequences carrying mutations to sequences carrying normal, e.g., non-cancer sequences, or a reference sequence, e.g., a human reference genome.