G16B5/00

System And Methods For Disease Module Detection

The present disclosure discusses a system and method for disease module detection. More particularly, a protein network and list of seed proteins are provided to the system. The system iteratively selects one or more candidate proteins for inclusion in the list of seed proteins. The system calculates a connectivity factor for each of the connections of the candidate proteins to proteins listed as seed proteins. Responsive to the calculated connectivity factors the system adds one or more of the candidate proteins to list of seed proteins. At the end of the iterative process the list of seed proteins can be indicative of the disease module.

System And Methods For Disease Module Detection

The present disclosure discusses a system and method for disease module detection. More particularly, a protein network and list of seed proteins are provided to the system. The system iteratively selects one or more candidate proteins for inclusion in the list of seed proteins. The system calculates a connectivity factor for each of the connections of the candidate proteins to proteins listed as seed proteins. Responsive to the calculated connectivity factors the system adds one or more of the candidate proteins to list of seed proteins. At the end of the iterative process the list of seed proteins can be indicative of the disease module.

METHODS, SYSTEMS AND COMPUTER READABLE MEDIA TO CORRECT BASE CALLS IN REPEAT REGIONS OF NUCLEIC ACID SEQUENCE READS
20220392574 · 2022-12-08 ·

Methods, systems and non-transitory machine-readable storage medium are provided to mitigate insertion errors and deletion errors in STR sequences and improve accuracy in determination of the number of repeats. A method includes determining one or more optimum clusters for a set of flow space signal measurements, wherein at least one of the optimum clusters is associated with a homopolymer length, modifying a base call at the position in the repeat region sequence to the homopolymer length associated with the optimum cluster to produce a corrected repeat region sequence, thereby correcting an insertion error or a deletion error. The method may further include detecting variations in the flanks associating those variations with the length of the STR.

METHODS, SYSTEMS AND COMPUTER READABLE MEDIA TO CORRECT BASE CALLS IN REPEAT REGIONS OF NUCLEIC ACID SEQUENCE READS
20220392574 · 2022-12-08 ·

Methods, systems and non-transitory machine-readable storage medium are provided to mitigate insertion errors and deletion errors in STR sequences and improve accuracy in determination of the number of repeats. A method includes determining one or more optimum clusters for a set of flow space signal measurements, wherein at least one of the optimum clusters is associated with a homopolymer length, modifying a base call at the position in the repeat region sequence to the homopolymer length associated with the optimum cluster to produce a corrected repeat region sequence, thereby correcting an insertion error or a deletion error. The method may further include detecting variations in the flanks associating those variations with the length of the STR.

Method for probing at least one binding site of a protein

At least one binding site of a protein is probed by calculating a set of molecular dynamic trajectories of a protein-ligand complex family. At least one script is applied to the molecular dynamic trajectories to form a set of tensors, and at least one second script is applied to the set of tensors to integrate the set of tensors with experimental binding data corresponding to the protein-ligand complex family to form a primary image of the binding site, thereby probing the binding site of the protein.

Method for probing at least one binding site of a protein

At least one binding site of a protein is probed by calculating a set of molecular dynamic trajectories of a protein-ligand complex family. At least one script is applied to the molecular dynamic trajectories to form a set of tensors, and at least one second script is applied to the set of tensors to integrate the set of tensors with experimental binding data corresponding to the protein-ligand complex family to form a primary image of the binding site, thereby probing the binding site of the protein.

Random sequence generation for gene simulations

A random sequence generation of defined values may be provided. A method comprises pre-loading a RAM block with an initial list comprising the defined values of a sequence of values to be updated, and shuffling the defined values of the sequence using a counter and a random offset for indices in the list.

Random sequence generation for gene simulations

A random sequence generation of defined values may be provided. A method comprises pre-loading a RAM block with an initial list comprising the defined values of a sequence of values to be updated, and shuffling the defined values of the sequence using a counter and a random offset for indices in the list.

SYSTEM AND METHOD FOR COMBATING PLANT PATHOGENIC BACTERIAL INFECTIONS

Bacterial plant pathogens such as Xanthomonas sp. and Pseudomonas syringae are developing resistance to various classes of antibiotics. A method and system for combating plant pathogenic bacterial infections have been provided. The system is configured to provide strategies to combat infections in plants caused by multi-drug resistant (MDR) plant pathogens. The strategy involves identifying potential target sites in the plant pathogen, which can be utilized to compromise its multiple virulence or essential functions at the same time. The idea used in this disclosure utilizes the fact that a conserved stretch of nucleotide sequence occurring multiple times on a pathogen genome in genomic neighborhood of genes encoding virulence factors or in vicinity of genes essential for pathogen survival encoded within the genome of the candidate pathogen can be targeted to disrupt the overall genetic machinery of the plant pathogen.

Genetic, metabolic and biochemical pathway analysis system and methods

Identifying pathways that are significantly impacted in a given condition is a crucial step in the understanding of the underlying biological phenomena. All approaches currently available for this purpose calculate a p-value that aims to quantify the significance of the involvement of each pathway in the given phenotype. These p-values were previously thought to be independent. Here, we show that this is not the case, and that pathways can affect each other's p-values through a “crosstalk” phenomenon that affects all major categories of existing methods. We describe a novel technique able to detect, quantify, and correct crosstalk effects, as well as identify novel independent functional modules. We assessed this technique on data from four real experiments coming from three phenotypes involving two species.