Abstract: Technology provided herein relates in part to non-invasive classification of one or more genetic copy number alterations (CNAs) for a test sample. Certain methods include sampling a quantification of sequence reads from parts of a genome, generating a confidence determination, and using the confidence determination to enhance classification. Technology provided herein is useful for classifying a genetic CNA for a sample as part of non-invasive pre-natal (NIPT) testing and oncology testing, for example.

Abstract: Technology provided herein relates in part to non-invasive classification of one or more genetic copy number alterations (CNAs) for a test sample. Certain methods include sampling a quantification of sequence reads from parts of a genome, generating a confidence determination, and using the confidence determination to enhance classification. Technology provided herein is useful for classifying a genetic CNA for a sample as part of non-invasive pre-natal (NIPT) testing and oncology testing, for example.

Abstract: Provided are methods and systems for sample quality control in CNV detection using test samples comprising cell-free nucleic acid fragments originating from a mother and a fetus. The method involves determining an exclusion region defined by at least a fetal fraction limit of detection (LOD) curve. The fetal fraction LOD curve varies with coverage values and indicates minimum values of fetal fractions needed to achieve a detection criterion given different coverages.

Abstract: Provided are methods for identifying the presence or absence of a chromosome abnormality by which a cell-free sample nucleic acid from a subject is analyzed. In certain embodiments, provided are methods for identifying the presence or absence of a fetal chromosome abnormality in a nucleic acid from cell-free maternal blood.

Abstract: Provided herein are methods, processes and apparatuses for non-invasive assessment of genetic variations that make use of nucleic acid fragments from circulating cell free nucleic acid. Also provided herein are methods for partitioning one or more genomic regions of a reference genome into a plurality of portions according to one or more features.

Abstract: Technology provided herein relates in part to methods, processes and apparatuses for non-invasive assessment of genetic variations.

Abstract: Provided in part herein are methods and processes that can be used for non-invasive assessment of a genetic variation which can lead to diagnosis of a particular medical condition or conditions. Such methods and processes can, for example, identify dissimiliarities or similarities for one or more features between a subject data set and a reference data set, generate a multidimensional matrix, reduce the matrix into a representation and classify the representation into one or more groups. Methods and processes described herein are applicable to data in biotechnology and other fields.

Abstract: A method and system for analyzing circulating cell-free nucleic acids from a pregnant female with reduced bias. Counts of sequence reads mapped to portions of a reference genome are obtained. A regression model is generated that models the relationship between the counts and the GC content. The read counts are normalized according to the regression model to remove the GC bias. The normalized counts are used for further analysis, such as the detection of fetal aneuploidy.

Abstract: Provided in part herein are methods and processes that can be used for non-invasive assessment of a genetic variation which can lead to diagnosis of a particular medical condition or conditions. Such methods and processes can, for example, identify dissimilarities or similarities for one or more features between a subject data set and a reference data set, generate a multidimensional matrix, reduce the matrix into a representation and classify the representation into one or more groups. Methods and processes described herein are applicable to data in biotechnology and other fields.

Abstract: Technology provided herein relates in part to methods, processes and apparatuses for non-invasive assessment of genetic variations.

Abstract: A method and system for analyzing circulating cell-free nucleic acids from a pregnant female with reduced bias, Counts of sequence reads mapped to portions of a reference genome are obtained. A regression model is generated that models the relationship between the counts and the GC content. The read counts are normalized according to the regression model to remove the GC bias. The normalized counts are used for further analysis, such as the detection of fetal aneuploidy.

Abstract: Provided herein are methods, processes and apparatuses for non-invasive assessment of genetic variations that make use of nucleic acid fragments from circulating cell free nucleic acid. Also provided herein are methods for partitioning one or more genomic regions of a reference genome into a plurality of portions according to one or more features.

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

Abstract: Provided herein are methods, processes and apparatuses for non-invasive assessment of genetic variations that make use of decision analyses. The decision analyses sometimes include segmentation analyses and/or odds ratio analyses.

Abstract: Provided herein are methods, processes and apparatuses for non-invasive assessment of genetic variations that make use of decision analyses. The decision analyses sometimes include segmentation analyses and/or odds ratio analyses.

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

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

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

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

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