A method and a system for reconstructing obstructed face portions are provided herein. The method may include the following steps: obtaining off-line 3D data, being 3D data of a head of a person not wearing a face-obstructing object, being an object which obstructs a portion of the face of the person; obtaining in real time, real-time 3D data, being 3D data of said head, wherein said person wears said face-obstructing object; applying a 3D transformation to at least a portion of the off-line 3D data, based on the real-time 3D data, to yield reconstructed real time 3D data, being real-time 3D data related to the obstructed face portions; and merging the reconstructed real time 3D data into the real-time 3D data. The system may implement the aforementioned steps over a computer processor.

Genomic references are structured as a reference graph that represents diploid genotypes in organisms. A path through a series of connected nodes and edges represents a genetic sequence. Genetic variation within a diploid organism is represented by multiple paths through the reference graph. The graph may be transformed into a traversal graph in which a path represents a diploid genotype. Genetic analysis using the traversal graph allows an organism's diploid genotype to be elucidated, e.g., by mapping sequence reads to the reference graph and scoring paths in the traversal graph based on the mapping to determine the path through the traversal graph that best fits the sequence reads.

In accordance with certain exemplary embodiments of the present disclosure, exemplary visualization system, method, procedure and computer-accessible medium can be provided, which individually and/or collectively can be called, e.g., ImmunoRuler (IR). Certain exemplary embodiments of the exemplary IR in accordance with the present disclosure can be used for, e.g., comparing two groups of objects with specific and distinguished properties, such as a group of case subjects with a particular disease and a group of control subjects without that particular disease, and/or a group of subjects with a particular disease who are given a treatment and a group of subjects with the same disease but under another treatment or no treatment at all.

There are provided methods, systems and processes for the utilization of microbial and related genetic information for use in the exploration, determination, production and recovery of natural resources, including energy sources, and the monitoring, control and analysis of processes and activities.

Systems, methods, and other embodiments associated with density gradient analysis tool for heat mapping systems. According to one embodiment, a method includes receiving data points. The method further includes calculating a data distribution of the data points. The data distribution has bins, and the bins represent an intervals. The method further includes rendering a heat map based, at least in part, on the data distribution. The heat map includes regions corresponding to the bins.

The invention provides methods for comparing one set of genetic sequences to another without discarding any information within either set. A set of genetic sequences is represented using a directed acyclic graph (DAG) avoiding any unwarranted reduction to a linear data structure. The invention provides a way to align one sequence DAG to another to produce an alignment that can itself be stored as a DAG. DAG-to-DAG alignment is a natural choice wherever a set of genomic information consisting of more than one string needs to be compared to any non-linear reference. For example, a subpopulation DAG could be compared to a population DAG in order to compare the genetic features of that subpopulation to those of the population.

Disclosed herein are methods of selecting an allogeneic T cell line for therapeutic administration to a patient having or suspected of having a pathogen or cancer. Also disclosed are methods of selecting a donor from whom to derive an allogeneic T cell line for therapeutic administration to a patient having or suspected of having a pathogen or cancer.

Methods and systems for identifying causal genetic mechanisms of antibiotic resistance in pathogens. In accordance with at least one embodiment, the system includes a gene resistance module to identify genes present in an antibiotic resistant pathogen, a single nucleotide polymorphism module to identify mutations present in an antibiotic resistant pathogen, and an antibiotic resistance module configured to output the causation of antibiotic resistance based on the identified genes and mutations.

A method and system is provided for visualization and pictorial presentation to a user of possible interactions between a prospective drug that is being considered for prescribing to a person and that person's genotype. Genetic information of the person that can affect the manner in which a drug acts on a molecular, physiological or biological function of the body or a tissue, or a manner in which a drug is being metabolized, absorbed, excreted or otherwise eliminated from the body or a tissue by the body or tissue systems, is entered into a computerized device. The computerized device conducts a search of a drug database for drugs that have known interactions with the entered genetic information, and assigns a numeric value to each of a plurality of drugs, either in aggregate, as a class, or individually, in order to quantify the nature, strength and direction of each interaction. The computer sends the assigned numeric values to the computer's output module for their visual presentation to a user as a graph including a panel of columns, or other geometrical structures, whose geometrical characteristics correspond to the assigned numeric values of each drug, in order to facilitate the prospective drug selection by a prescriber on the basis of the totality of drug-gene and/or drug-drug interactions presented to the user as a visual graph.

A computer-implemented method for designing a biological model provides a set of biological models, each biological model comprising a plurality of elements and interactions between elements. Next the method provides groups of elements identified as identical, each element having an associated biological model. The method moves an element from a first group to a second group in order to correct the grouping of the elements; updates both groups; and creates a combined model by combining the set of biological models according to the updated groups.