This disclosure provides systems and methods for sample processing and data analysis. Sample processing may include nucleic acid sample processing and subsequent sequencing. Some or all of a nucleic acid sample may be sequenced to provide sequence information, which may be stored or otherwise maintained in an electronic storage location. The sequence information may be analyzed with the aid of a computer processor, and the analyzed sequence information may be stored in an electronic storage location that may include a pool or collection of sequence information and analyzed sequence information generated from the nucleic acid sample. Methods and systems of the present disclosure can be used, for example, for the analysis of a nucleic acid sample, for producing one or more libraries, and for producing biomedical reports. Methods and systems of the disclosure can aid in the diagnosis, monitoring, treatment, and prevention of one or more diseases and conditions.

A method for executing computer programs in a trusted execution environment of a device is disclosed. The method includes retrieving a genomic differentiation object corresponding to a computer program that comprises a set of encoded executable instructions. The method further includes modifying the genomic differentiation object based on genomic regulation instructions (GRI) to obtain a modified genomic differentiation object, wherein the GRI were used to encode the set of encoded executable instructions of the computer program. The method includes obtaining a first instruction that is to be executed from the first set of encoded executable instructions of the computer program; obtaining a first sequence from first metadata associated with the first encoded instruction; generating a genomic engagement factor (GEF) based on the first sequence and the modified genomic differentiation object; decoding the first encoded instruction using the GEF to obtain a first decoded instruction; and executing the first decoded instruction.

A method for executing computer programs in a trusted execution environment of a device is disclosed. The method includes retrieving a genomic differentiation object corresponding to a computer program that comprises a set of encoded executable instructions. The method further includes modifying the genomic differentiation object based on genomic regulation instructions (GRI) to obtain a modified genomic differentiation object, wherein the GRI were used to encode the set of encoded executable instructions of the computer program. The method includes obtaining a first instruction that is to be executed from the first set of encoded executable instructions of the computer program; obtaining a first sequence from first metadata associated with the first encoded instruction; generating a genomic engagement factor (GEF) based on the first sequence and the modified genomic differentiation object; decoding the first encoded instruction using the GEF to obtain a first decoded instruction; and executing the first decoded instruction.

An analysis and visualization system analyzes a digital image of a tissue sample. In the sample, cells of a first type are stained in a first way, and cells of a second type are stained in a second way. The system segments the high-resolution image into first and second objects representing cells of the first and second types, respectively. The system also identifies a region of interest, and divides it into tiles. The system generates, for each tile, a first value and a second value. The first and second values for a tile are indicative of densities of the first and second objects in the tile. From the values, a measured correlation coefficient (CC) value is determined. The system compares the measured CC value to a reference CC value, thereby obtaining a correspondence value. The system then displays the image region along with a visualization of the correspondence value.

The present disclosure describes software tools for effective biosecurity based on community knowledge and participation. Annotation tools described herein provide assistance to the synthetic biology community to track emerging science on the link between individual proteins and negative outcomes. Screening tools described herein enables the community to broaden both interest and effective practice of biosecurity so that practitioners and biological sequence or construct providers are empowered to evaluate the safety of order requests rather than waiting until synthesis or even expression. In addition, screening tools described herein provide for screening of polynucleotides across the same or multiple orders for sequences associated with harmful biological sequences from a reference database.

The invention provides methods of preparation of lipoproteins from a biological sample, including HDL, LDL, Lp(a), IDL, and VLDL, for diagnostic purposes utilizing differential charged particle mobility analysis methods. Further provided are methods for analyzing the size distribution of lipoproteins by differential charged particle mobility, which lipoproteins are prepared by methods of the invention. Further provided are methods for assessing lipid-related health risk, cardiovascular condition, risk of cardiovascular disease, and responsiveness to a therapeutic intervention, which methods utilize lipoprotein size distributions determined by methods of the invention.

A method for determining a quantity G.sub.inhib quantifying the inhibitory capacity of a molecule on a type of microorganism includes: preparing a plurality of samples, including microorganisms of the type, a nutrient medium for the microorganism and an initial amount of the molecule per microorganism increasing in a range [Q.sub.min, Q.sub.max] as a function of a classification of the samples; measuring the growth of the microorganisms in the samples as a function of time; and determining the quantity G.sub.inhib as a function of the measurements of the growth. Determination of the quantity G.sub.inhib includes: for each sample, calculating a value reflecting the growth of the microorganism of said type based on measurements of growth; classifying the values calculated for the samples as a function of the classification of the samples; and determining the quantity G.sub.inhib as a function of the variation of the classified values.

The present invention provides non-natural molecules which comprise a peptide part able to stop the amyloid aggregation which is fused to a moiety which stimulates the proteasomal degradation pathway in the cell. Non-natural molecules of the invention are useful to treat human and veterinary pathological aggregation disorders.

There is provided a method comprising: receiving a graph comprising nodes with directional edges each associated with a variable weight representing an interaction strength of the respective direction edge adjustable according to a respective range; calculating a current global value defined by a function of the variable weights of the directional edges; calculating a mismatch between the current global value and a desired global value, wherein multiple different combinations of assigned variable weights of the directional edges are associated with the desired global value within the tolerance requirement; determining when the mismatch is within a tolerance requirement representing desired global values; and one of: randomly adjusting the variable weights of the directional edges within the respective range, and iterating the calculating the mismatch and determining when the mismatch is not within the tolerance requirement, and outputting determined values for the variable weights when the mismatch is within the tolerance requirement.

Provided herein are systems and methods for screening desirable biological variants using a high-throughput integrated system. The integrated system may be configured to input a plurality of parameters from functional studies of biological variants under applied conditions, in conjunction with integrated libraries of biological variants, and filter the inputs to produce desirable biological variants based on an input performance requirement. The system may output optimized strains, molecules, or novel molecules expected to have a desirable functional characteristic. Accordingly, the methods and systems disclosed herein enable multi-parametric studies of biological diversity and conditional diversity in systems biology.