The present disclosure provides methods and kits for diagnosing and assessing SAGE1-positive disorders, and compositions and methods for treating SAGE1-positive disorders. The present disclosure further provides SAGE1 complexes and methods and composition for inhibiting SAGE1 complexes and treating SAGE1-positive disorders.

Provided herein is technology for screening for esophageal disorders, including but not limited to, Barrett's esophagus (BE). In particular, provided herein are methods, compositions, and related uses for detecting the presence or absence of esophageal disorders from a biological sample.

Disclosed herein is a combination of genomic sequences whose methylation patterns have utility for the improved detection and differentiation between colorectal neoplasms. Further disclosed herein are methods, nucleic acids and kits for detecting or differentiating between colorectal neoplasms.

The disclosure provides methods for selecting watermelon plants for genetic elements on chromosome 2 and 6 which genetic elements predict the average seed size produced in the fruits of said plants and watermelon plants and plant parts comprising modifications in the tomato-seed size gene (Ts-gene) on chromosome 2, and methods of producing seeds and plants.

A system for predicting biological age on the basis of various omics data analyses, according to one embodiment of the present invention, comprises: a test sample collection unit for collecting a plurality of genetic test samples including DNA and/or RNA of a subject; a test sample analysis unit for analyzing a plurality of types of omics data from each of the plurality of genetic test samples; a preprocessing execution unit for preprocessing the omics data analyzed through the test sample analysis unit; an association analysis unit for performing an association analysis on the basis of the omics type of data for each omics area converted through the preprocessing execution unit; and an age prediction unit for predicting the age of the subject on the basis of the analyzed result of the association analysis unit and the data for each omics area.

A system and method are disclosed for training a cancer classifier. The method includes, for each training sample comprising a plurality of methylation sequence reads: for each methylation sequence read, applying a probabilistic noise model, corresponding to a genomic region of a plurality of genomics regions that the methylation sequence read overlaps with, to the methylation sequence read to determine an anomaly score indicating a likelihood of observing the methylation pattern in healthy samples. Each probabilistic noise model is trained with methylation sequence reads from healthy samples. The method includes determining a feature vector comprising a feature for each genomic region based on a count of methylation sequence reads overlapping the genomic region with an anomaly score below a threshold anomaly score. The method includes training the cancer classifier with the feature vectors of the training samples to determine a cancer prediction based on an input feature vector.

The present invention relates to a pet genome-based matchmaking social network system and a method for providing pet genome-based matchmaking information, the system comprising: a gene analysis device unit which provides pet gene analysis information; a bioinformatics information analysis device unit which provides information that may appear during breeding through bioinformatics analysis based on the gene analysis information; a basic information input unit which receives various information about pets from pet owners; a database unit which stores collected and analyzed information; and a pet matching recommendation unit which recommends a pet with the highest matching degree according to an application for matching.

Disclosed herein are methods, compositions, and devices for use in the early detection of cancer. The methods include preparing cell-free nucleic acid molecules from a subject for sequencing, sequencing a panel of regions in the cell-free nucleic acid molecules, and detecting one or more markers that are indicative of a cancer.

Provided herein are methods of identifying a methylation status of an analyte in a biological sample. Also provided herein are methods that combine identifying the methylation status with spatial technology to identify the location of a methylation status in a biological sample.

The present invention relates to a composition, a kit, a nucleic acid, and a method capable of diagnosing bladder cancer by detecting the methylation level of a CpG site of at least one gene selected from the group consisting of IFFO1, MARCH11, BARHL2, NR2E1, KCNA3, and BOLL. According to the present invention, since the hypermethylation of a CpG site of a gene is specifically exhibited in bladder cancer, a composition, a kit, a chip, or a method according to the present invention can be used to accurately and rapidly diagnose bladder cancer and to be used for early diagnosis and monitoring recurrence.