Abstract: As described below, disclosed herein are methods of analyzing DNA methylation in cell-free DNA (cfDNA) and genomic DNA (gDNA) from sequencing data.

Abstract: Disclosed herein are novel 5? UTR sequences that can be used to control gene expression in various contexts. Also disclosed herein are methods of engineering 5? UTR sequences and methods and kits for screening 5? UTR sequences for a property of interest.

Abstract: As described below, disclosed herein are methods of analyzing DNA methylation in cell-free DNA (cfDNA) and genomic DNA (gDNA) from sequencing data.

Abstract: Described herein are a secure system for sharing private data and related systems and methods for incentivizing and validating private data sharing. In some embodiments, private data providers may register to selectively share private data under controlled sharing conditions. The private data may be cryptographically secured using encryption information corresponding to one or more secure execution environments. To demonstrate to the private data providers that the secure execution environment is secure and trustworthy, attestations demonstrating the security of the secure execution environment may be stored in a distributed ledger (e.g., a public blockchain). Private data users that want access to shared private data may publish applications for operating on the private data to a secure execution environment and publish, in a distributed ledger, an indication that the application is available to receive private data.

Abstract: The present disclosure provides, in some embodiments, techniques for using generative machine learning models to generate new functional protein sequences based on an input protein structure, such that the new functional protein sequences are structurally similar to the input protein structure but have new and diverse protein sequences. The techniques described herein may be used alone, or in conjunction with structural prediction algorithms and/or to generate diversified gene libraries in directed evolution techniques.

Abstract: The present disclosure provides, in some aspects, methods for enhanced protein structure prediction using protein homology discovery and constrained distograms.

Abstract: Described herein are systems and techniques for identifying polypeptides using data collected by a protein sequencing device. The protein sequencing device may collect data obtained from detected light emissions by luminescent labels during binding interactions of reagents with amino acids of the polypeptide. The light emissions may result from application of excitation energy to the luminescent labels. The device may provide the data as input to a trained machine learning model to obtain output that may be used to identify the polypeptide. The output may indicate, for each of a plurality of locations in the polypeptide, one or more likelihoods that one or more respective amino acids is present at the location. The output may be matched to an amino acid sequence that specifies a protein.

Abstract: Described herein are a secure system for sharing private data and related systems and methods for incentivizing and validating private data sharing. In some embodiments, private data providers may register to selectively share private data under controlled sharing conditions. The private data may be cryptographically secured using encryption information corresponding to one or more secure execution environments. To demonstrate to the private data providers that the secure execution environment is secure and trustworthy, attestations demonstrating the security of the secure execution environment may be stored in a distributed ledger (e.g., a public blockchain). Private data users that want access to shared private data may publish applications for operating on the private data to a secure execution environment and publish, in a distributed ledger, an indication that the application is available to receive private data.

Abstract: Disclosed herein are novel 5? UTR sequences that can be used to control gene expression in various contexts. Also disclosed herein are methods of engineering 5? UTR sequences and methods and kits for screening 5? UTR sequences for a property of interest.

Abstract: As described below, disclosed herein are methods of analyzing DNA methylation in cell-free DNA (cfDNA) and genomic DNA (gDNA) from sequencing data.