Abstract: The present invention includes methods and materials for use in the detection preeclampsia and/or determining an increased risk for preeclampsia in a pregnant female, the method including identifying in a biosample obtained from the pregnant women a plurality of circulating RNA (C-RNA) molecules.

Abstract: The present invention includes methods and materials for use in the detection preeclampsia and/or determining an increased risk for preeclampsia in a pregnant female, the method including identifying in a biosample obtained from the pregnant women a plurality of circulating RNA (C-RNA) molecules.

Abstract: The present invention includes methods and materials for use in the detection preeclampsia and/or determining an increased risk for preeclampsia in a pregnant female, the method including identifying in a biosample obtained from the pregnant women a plurality of circulating RNA (C-RNA) molecules.

Abstract: The present invention includes methods and materials for use in the detection preeclampsia and/or determining an increased risk for preeclampsia in a pregnant female, the method including identifying in a biosample obtained from the pregnant women a plurality of circulating RNA (C-RNA) molecules.

Abstract: Nucleic acid techniques are disclosed. Embodiments include modified nucleotides with oligonucleotide adapters that are coupled via cleavable linkers. Incorporation of the modified nucleotide at a 3? end of a nucleic acid permits end-adapterization via ligation of a free 5? end of the oligonucleotide adapter to a 3? reactive group of the modified nucleotide and cleavage at the cleavable linker to liberate a free 3? end.

Abstract: Disclosed herein include methods, compositions, reaction mixtures, kits and systems for identification of methylated cytosines in nucleic acids using a bisulfite-free, one-step chemoenzymatic modification of methylated cytosines.

Abstract: The present disclosure is concerned with proteins, methods, compositions, and kits for mapping of methylation status of nucleic acids, including 5-methylcytosine and 5-hydroxymethyl cytosine (5 hmC). In one embodiment, proteins are provided that selectively act on certain modified cytosines of target nucleic acids and converts them to thymidine or modified thymidine analogues. In another embodiment, proteins are provided that selectively act on certain modified cytosines of target nucleic acids and converts them to uracil or thymidine and selectively do not act on other certain modified cytosines of target nucleic acids. Also provided are compositions and kits that include one or more of the proteins and methods for using one or more of the proteins.

Abstract: Materials and methods for preparing nucleic acid libraries for next-generation sequencing are described herein. A variety of approaches are described relating to the use of unique molecular identifiers with transposon-based technology in the preparation of sequencing libraries. Also described herein are sequencing materials and methods for identifying and correcting amplification and sequencing errors.

Abstract: The present invention includes methods and materials for use in the detection preeclampsia and/or determining an increased risk for preeclampsia in a pregnant female, the method including identifying in a biosample obtained from the pregnant women circulating RNA (C-RNA) molecules associated with preeclampsia.

Abstract: This disclosure describes methods, non-transitory computer readable media, and systems that can use a machine-learning to determine factors or scores indicating an error level with which a given methylation assay detects methylation of cytosine bases. For instance, the disclosed systems use a machine-learning model to generate a bias score indicating a degree to which a given methylation assay errs in detecting cytosine methylation when specific sequence contexts surround such cytosines compared to other sequence contexts. The machine-learning model may take various forms of models, including a decision-tree model, a neural network, or a combination of a decision-tree model and a neural network. In some cases, the disclosed system combines or uses bias scores from multiple machine-learning models to generate a consensus bias score.

Abstract: The present invention includes methods and materials for use in the detection preeclampsia and/or determining an increased risk for preeclampsia in a pregnant female, the method including identifying in a biosample obtained from the pregnant women a plurality of circulating RNA (C-RNA) molecules.

Abstract: This application describes methods of preparing an immobilized library of tagged RNA fragments. Also described herein are a number of methods of preparing DNA and RNA sequencing libraries from a single sample. These methods can include library preparation from single cells.

Abstract: The present invention includes methods and materials for use in the detection preeclampsia and/or determining an increased risk for preeclampsia in a pregnant female, the method including identifying in a biosample obtained from the pregnant women a plurality of circulating RNA (C-RNA) molecules.

Abstract: The present invention includes methods and materials for use in the detection preeclampsia and/or determining an increased risk for preeclampsia in a pregnant female, the method including identifying in a biosample obtained from the pregnant women a plurality of circulating RNA (C-RNA) molecules.

Abstract: The present invention includes methods and materials for use in the detection preeclampsia and/or determining an increased risk for preeclampsia in a pregnant female, the method including identifying in a biosample obtained from the pregnant women a plurality of circulating RNA (C-RNA) molecules.