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 disclosure relates to a composition comprising a shell surrounding a core, wherein the core comprises one or more lyophilised microspheres. Also described herein is a method comprising providing one or more lyophilised microspheres; and coating the one or more lyophilised microspheres with a shell under conditions effective to encapsulate the one or more lyophilised microspheres. The present disclosure further relates to a system comprising one or more composition as described herein, and one or more lyophilised cake, wherein the one or more composition and the one or more lyophilised cake are combined under conditions effective to form a rehydration system. Also described herein is a method of controlling release of one or more encapsulated microspheres comprising providing a composition as described herein and mixing the composition with a rehydration solution under a first condition effective to control release of one or more lyophilised microspheres from the composition.

Abstract: A method is disclosed for identifying a member of a peptide library that interacts with a target molecule in situ, the method including expressing immobilised nucleic acid molecules to produce the peptide library in a way that each member of the peptide library is immobilised on the nucleic acid molecule from which it was expressed; contacting the immobilised peptide library with the target molecule; and detecting an interaction between at least one member of the peptide library and the target molecule. The method further comprises sequencing the plurality of nucleic acid molecules in situ on the solid support, such that the at least one member of the peptide library that interacts with the target molecule can be immediately identified, at least by the sequence of the nucleic acid molecule from which it was expressed, without requiring additional or secondary analysis or characterising procedures in order to identify the useful members of the library.

Abstract: A naive WW domain peptide library derived from a WW domain peptide sequence which has been diversified by changing the amino acid sequence at one or more positions is provided. The naive WW domain peptide library may be derived from a GroupIV WW domain peptide. Methods for making the naive WW domain peptide library and methods for selected a modified WW domain peptide that binds a target ligand using the naive WW domain peptide library are also provided. Also disclosed are modified WW domain peptides that bind desired target ligands, pharmaceutical compositions comprising such peptides, and uses for such peptides. The modified WW domain peptides have altered, improved or different, target ligand binding characteristics to those of the unmodified WW domain peptides from which they are derived.