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: 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 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: Prenatal genetic testing allows early detection of genetic disease in a fetus. Described herein are methods of detecting the presence or absence of a genetic variant in a region of interest in the genome of a fetus in a pregnant woman. The methods are noninvasive, and can use cell-free DNA (cfDNA) present in the plasma of the pregnant woman. A DNA library is constructed from the cfDNA, and DNA molecules comprising the region of interest or portions thereof are enriched and analyzed, for example by sequencing. The methods described herein can also rely on constructing a maternal haplotype to provide even higher resolution fetal genetic variant determination.

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: Processes and systems for reading variants from a genome sample relative to a reference genomic sequence are provided. An exemplary process includes collecting a set reads and generating a k-mer graph from the reads. For example, the k-mer graph can be constructed to represent all possible substrings of the collected reads. The k-mer graph may be reduced to a contiguous graph, and a set of possible haplotypes generated from the contiguous graph. The process may further generate, the error table providing a filter for common sequencer errors. The process may then generate a set of diplotypes based on the set of haplotypes and the generated error table and score the set of diplotypes to identify variants from the reference genome. Scoring the diplotypes may include determining a posterior probability for each of the diplotypes, with the highest scoring diplotype(s) reported as the result.