G16B5/10

RANDOM SEQUENCE GENERATION FOR GENE SIMULATIONS
20200089842 · 2020-03-19 ·

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.

IN-SILICO METHOD TO IDENTIFY COMBINATORIAL PROTEINS AS IMMUNE-STIMULATORS AGAINST LEISHMANIASIS
20200020414 · 2020-01-16 ·

The present invention discloses a combination of proteins influencing the survival of the Leishmania species inside the human cell and a process for regulating the expression the combination of proteins. Further, the present invention relates to the regulation of the combination of proteins to serve as immuno-stimulators to treat leishmaniasis.

LINEAR GENOME ASSEMBLY FROM THREE DIMENSIONAL GENOME STRUCTURE

Embodiments provide a method for sequencing and assembling long DNA genomes comprising generating a 3D contact map of chromatin loop structures in a target genome, the 3D contact map of chromatin loop structures defining spatial proximity relationships between genomic loci in the genome, and deriving a linear genomic nucleic acid sequence from the 3D map of chromatin loop structures

LINEAR GENOME ASSEMBLY FROM THREE DIMENSIONAL GENOME STRUCTURE

Embodiments provide a method for sequencing and assembling long DNA genomes comprising generating a 3D contact map of chromatin loop structures in a target genome, the 3D contact map of chromatin loop structures defining spatial proximity relationships between genomic loci in the genome, and deriving a linear genomic nucleic acid sequence from the 3D map of chromatin loop structures

ORTHOGONAL PROTEIN HETERODIMERS

Disclosed herein are designed heterodimer proteins, monomeric polypeptides capable of forming heterodimer proteins, protein scaffolds including such polypeptides, and methods for using the heterodimer proteins and subunit polypeptides for designing logic gates.

Methods of Identifying and Treating Patient Populations Amenable to Cancer Immunotherapy
20190378594 · 2019-12-12 ·

Methods for identifying cancer patients amenable to anti-cancer immunotherapy are provided along with methods of monitoring cancer therapy. Also provided are methods of treating cancer patients amenable to anti-cancer immunotherapy. The methods involve determining the level of CD127<low>PD-1<low>T cells. The patients are treated with an immune checkpoint inhibitor, such as an anti-CTLA-4 antibody, e.g. ipilimumab.

Methods of Identifying and Treating Patient Populations Amenable to Cancer Immunotherapy
20190378594 · 2019-12-12 ·

Methods for identifying cancer patients amenable to anti-cancer immunotherapy are provided along with methods of monitoring cancer therapy. Also provided are methods of treating cancer patients amenable to anti-cancer immunotherapy. The methods involve determining the level of CD127<low>PD-1<low>T cells. The patients are treated with an immune checkpoint inhibitor, such as an anti-CTLA-4 antibody, e.g. ipilimumab.

METHODS AND SYSTEMS FOR SPARSE VECTOR-BASED MATRIX TRANSFORMATIONS

Methods and systems are described for converting a matrix to a sparse vector-based matrix utilizing one or more of a global identifier, a cohort identifier, an n-tuple representation, and a sparse vector. Methods and systems are described for partitioning matrices. Methods and systems are described for managing execution of tasks in a distributed computing environment. Methods and systems are described for positioning data within the distributed computing environment.

METHODS AND SYSTEMS FOR HIGH FIDELITY SEQUENCING
20190338349 · 2019-11-07 ·

Systems and methods for high fidelity sequencing and identification of rare mutations at dilute concentrations in a sample are described herein. In various aspects, the use of specialized library preparation techniques including adapter ligation conditions and hybrid capture enrichment panels are used along with controls to increase yield of sequence-ready molecules and identify and minimize contamination and errors. Systems and methods also relate to analyzing sequencing data to differentiate true variants from false positives using ensembles and a quasi-maximum likelihood model.

METHODS, COMPUTER-ACCESSIBLE MEDIUM AND SYSTEMS TO MODEL DISEASE PROGRESSION USING BIOMEDICAL DATA FROM MULTIPLE PATIENTS

An exemplary embodiment of system, method and computer-accessible medium can be provided to reconstruct models based on the probabilistic notion of causation, which can differ fundamentally from that can be based on correlation. A general reconstruction setting can be complicated by the presence of noise in the data, owing to the intrinsic variability of biological processes as well as experimental or measurement errors. To gain immunity to noise in the reconstruction performance, it is possible to use a shrinkage estimator. On synthetic data, the exemplary procedure can outperform currently known procedures and, for some real cancer datasets, there are biologically significant differences revealed by the exemplary reconstructed progressions. The exemplary system, method and computer accessible medium can be efficient even with a relatively low number of samples and its performance quickly converges to its asymptote as the number of samples increases.