Described herein are various systems, methods, and apparatus for systematic creation of isolated homogeneous colonies of cells from vector-based lineages. The vector-based lineages may originate from multiple types of viral vector families (e.g., Paramyx-oviridae, Retroviridae, Parvoviridae) or non-natural engineered vectors or a plurality of vector combinations, for example. In certain embodiments, the isolated homogeneous colonies of cells are vector-free sub-colonies; in other embodiments, the isolated homogeneous colonies of cells are homogeneous vector sub-colonies. In other embodiments, vector mixed sub-colonies are created. The disclosed systems, methods, and apparatus are useful for inducible pluripotent stem cell (iPSC) production and work by selectively binding to one or more corresponding protein markers expressed on the surface of a cell that indicate that cellular reprogramming has occurred. Software is used to automate the purification and isolation of the iPSCs produced.

The present systems and methods introduce deep learning to de novo peptide sequencing from tandem mass spectrometry data, and in particular mass spectrometry data obtained by data-independent acquisition. The systems and methods achieve improvements in sequencing accuracy over existing systems and methods and enables complete assembly of novel protein sequences without assisting databases. To sequence peptides from mass spectrometry data obtained by data-independent acquisition, precursor profiles representing intensities of one or more precursor ion signals associated with a precursor retention time and fragment ion spectra representing signals from fragment ions and fragment retention times are fed into a neural network.

Embodiments of the present technology include a method for testing a blood sample for sepsis. The method may include receiving a blood sample from an individual. The method may also include executing an instruction to analyze the blood sample for sepsis. In addition, the method may include measuring values of a set of characteristics in the blood sample. The set of characteristics being determined prior to measuring the values. The method may further include analyzing the values of the set of characteristics to produce a representation of a suspicion of sepsis. In addition, the method may include displaying the representation. Embodiments also include systems for testing blood sample for sepsis.

In accordance with an embodiment of the invention, a system and method is provided for determining a probability of a progeny having one or more phenotypes Ph.sub.j each associated with a single gene Q.sub.j. A score sip may be assigned to each allele hip at a plurality of genetic loci (i) in a haploid genome profile H.sup.p of a parent (p). A plurality (Nj) of the alleles hkp (k=1, . . . , Nj) associated with the gene Q.sub.j may be identified. The scores sip may be mapped or indexed to gene-specific scores ŝj,kp associated with gene Q.sub.j for the plurality of (Nj) alleles hkp. A probability may be computed for altering the gene product from gene Q.sub.j in a progeny of the parent (p) to be a function of the gene-specific scores ŝj,kp.

Methods of assessing an analyte in a blood sample are provided according to aspects of the present disclosure which include: extracting the analyte from a biological sample dried on a treated support, producing an extracted sample, the treated support comprising a protein denaturant, wherein the analyte is a substrate for an enzyme present, or suspected of being present, in the biological sample, wherein the protein denaturant inhibits enzymatic activity of the enzyme on the analyte; and subjecting the extracted sample to liquid chromatography tandem mass spectrometry (LC/MS/MS), thereby assessing the analyte in the biological sample.

Described are techniques for determining population structure from identity-by-descent (IBD) of individuals. The techniques may be used to predict that an individual belongs to zero, one or more of a number of communities identified within an IBD network. Additional data may be used to annotate the communities with birth location, surname, and ethnicity information. In turn, these data may be used to provide to an individual a prediction of membership to zero, one or more communities, accompanied by a summary of the information annotated to those communities.

A method includes obtaining, from one or more sequencing devices, raw data detected from luminescent labels associated with nucleotides during nucleotide incorporation events; and processing the raw data to perform a comparison of base calls produced by a learning enabled, automatic base calling module of the one or more sequencing devices with actual values associated with the raw data, wherein the base calls identify one or more individual nucleotides from the raw data. Based on the comparison, an update to the learning enabled, automatic base calling module is created using at least some of the obtained raw data, and the update is made available to the one or more sequencing devices.

A biosensor includes a substrate; a working electrode including a working electrode layer formed on the substrate and an enzyme reaction layer formed on the working electrode layer to cover the working electrode layer; a reference electrode formed on the substrate to be spaced apart from the working electrode; and an insulation barrier rib separating the working electrode and the reference electrode on the substrate. The biosensor has a wide measurement range, excellent sensitivity, and reduced dispersion of measured values.

The present disclosure provides a three-dimensional hydrogel-graphene-based biosensor and a preparation method thereof, belonging to the technical field of biosensors. The present disclosure provides a three-dimensional hydrogel-graphene-based biosensor, including a substrate, an electrode layer, a graphene film, and a three-dimensional hydrogel material layer that are stacked in sequence; where the three-dimensional hydrogel material layer is formed of a hydrogel material having a three-dimensional network structure; the hydrogel material is obtained by polymerization of raw materials including an acrylamide monomer and a modified probe molecule; and the modified probe molecule is a probe molecule modified with an acrylamide group. The three-dimensional hydrogel-graphene-based biosensor has a desirable stability and a high sensitivity.

The present invention comprises the capture and display of arthropod, human and arthropod-based metadata, which is capable of tracking and displaying the metadata, which is time and location-based, in order to show migration paths of arthropods and/or the diseases they have the potential to carry. This real-time view can help predict future arthropod and disease based on various scenarios such as, but not limited to: increased exposure based on the following: a user's geo-location, date and/or time of year, carrier type, etc. These variables can then assist with the education, awareness and potential prevention of disease.