Abstract: A method of detecting Barrett's esophagus with low grade dysplasia, or Barrett's esophagus with high grade dysplasia, or adenocarcinoma of the esophagus, applying a Repetitive Element Aneuploidy Sequencing System (RealSeqS) methodology to a biological sample from the esophagus of the subject to detect Barrett's esophagus with low grade dysplasia, or Barrett's esophagus with high grade dysplasia, or adenocarcinoma of the esophagus.

Abstract: A method for classifying data using non-negative matrix factorization can include receiving a population of sample data, generating a first matrix of the amplicon counts per sample data, dividing the first matrix into a product of a second matrix and a third matrix, in the second matrix, determining whether each signature is a long or short fragment per each amplicon count, in the third matrix, determining intensities of each signature per the sample data, and classifying the sample data based on the intensities of each signature. The population can include amplicon counts per sample data. The second matrix can include signatures of short and long DNA fragments and the third matrix can include intensities of each signature of the short and long DNA fragments.

Abstract: This document provides methods and materials for identifying chromosomal anomalies that can be used to identify a mammal as having a disease (e.g., cancer or congenital abnormality). For example, this document provides methods and materials for evaluating sequencing data to identify a mammal as having a disease associated with one or more chromosomal anomalies (e.g., cancer or congenital abnormalities). For example, this document provides methods and materials for evaluating sequencing data that can be used in cancer diagnostics, non-invasive prenatal testing (NIPT), preimplantation genetic diagnosis and evaluation of congenital abnormalities.