40 results about "Genome scale" patented technology

Alterations in the genetic content of a cell underlie many human diseases, including cancers. A method called Digital Karyotyping provides quantitative analysis of DNA copy number at high resolution. This approach involves the isolation and enumeration of short sequence tags from specific genomic loci. Analysis of human cancer cells using this method identified gross chromosomal changes as well as amplifications and deletions, including regions not previously known to be altered. Foreign DNA sequences not present in the normal human genome could also be readily identified. Digital Karyotyping provides a broadly applicable means for systematic detection of DNA copy number changes on a genomic scale.

The invention provides a method for information mining of a genome metabolic network preliminary model. The method comprises the steps as follows: as for the KEGG website, extracting a corresponding relation among gene, protein and reaction, that is, determining the GPR relation by adopting a website script semantic analysis technology on the basis of webpage key content priori position information, and establishing an excel table to show the GPR relation information, so as to obtain the genome metabolic network preliminary model. The model constructed by adopting the method unifies the reaction form, and is convenient in comparison with other models and convenient in reference. The method has been applied to construction of a scheffersomyces stipitis CBS6054 genome-scale metabolic network, and compared with the construction of a traditional network preliminary model based on the KEGG database, a great amount of labor and time are saved, and the construction efficiency is greatly improved.

Disclosed is a method for detecting differentially methylated CpG islands associated with an abnormal state of a human body, characterized by detecting very minute amounts of methylated CpG short tandem nucleic acid sequences in highly fragmented DNA samples with genome scale, identifying differentially methylated CpG islands associated with abnormal state of human body and determining the corresponding abnormal state of human body. Sequencing libraries are constructed by using CpG short tandem sequences as primers to perform three steps of PCR reactions on DNAs which are conversed by nodifiers, and detections of very minute amounts of methylated CpG short tandem nucleic acid sequences are implemented with high throughput sequencing technology. A group of genome sequences and methylation patterns of differentially methylated CpG islands which are associated with hepatocellular carcinoma are also disclosed; they may be used for distinguishing between hepatacellular carcinoma and non-cancerous state.

A homology retrieval can be performed with higher accuracy than conventional technologies when comparing a query sequence with a target sequence, and retrieving a similar location in the target sequence. The sequence information of a query sequence and a genomic-scale target sequence is acquired, the acquired information is compressingly converted into a compressed query sequence and a compressed target sequence in each of which a homopolymer region including two or more consecutive identical bases is replaced with a single base of the bases, the two sequences are compared, and a refining search is performed for a compressed target partial sequence that matches the compressed query sequence in the compressed target sequence. For the refined compressed candidate sequence and the query sequence, based on the information on the number of consecutive identical bases in the each of the sequences before compression, the number of consecutive bases is compared between the two compressed sequences for each corresponding base, and the degree of similarity indicating homology of the candidate sequence with the query sequence is computed from a degree of match or a degree of mismatch in the number of consecutive bases. By ranking and selecting an arbitrary number of candidate sequences having relatively high homology with the query sequence from this degree of similarity, it is possible to avoid the influence of the number of consecutive identical bases in a homopolymer region, thereby performing a homology retrieval accurately.

The invention discloses a plant whole-genome multilevel biological network reconstruction method based on multi-omics data integration. The method carries out integration on a rice gene regulation andcontrol network, a protein interaction network and a metabolic network to finish the construction of a rice multilevel regulation and control network; and meanwhile, through the integration of expression profile data in different tissue growth processes of the rice, according to the constructed rice multilevel regulation and control network, a specific tissue multilevel gene regulation and control network is constructed so as to construct a first high-quality rice genome scale multilevel biological network of which the current data level is most integral. A new thought is provided for the construction of the plant multilevel biological network, and a constructed rice multilevel gene regulation and control network database realizes the 3D (Three-Dimensional) visualization of the multilevelregulation and control network.

The present invention relates to the field of functional analysis of Jatropha genes on a genomic scale. More specifically, the present invention relates to a method for high-throughtput functional analysis of Jatropha curcas genes on a genomic scale using virus-induced gene silencing. The method involves use of the tobacco rattle virus (TRV).

Embodiments of the present invention generally relate to the construction, analysis, and characterization of dynamical states of biological networks at the cellular level. Methods are provided for analyzing the dynamical states by constructing matrices using high-throughput data types, such as fluxomic, metabolomic, and proteomic data. Some embodiments relate to an individual, while others relate to a plurality of individuals.

The present invention provides novel methods for identifying and monitoring epigenetic modifications, such as imprinted genes, using microarray based technology. Specifically, the invention detects imprinted genes by the presence of overlapping closed and open chromatin markers. The invention also discloses a method for detecting the loss of imprinting on a genome-wide scale, which is indicative of a variety of medical conditions. Diagnostic assays and chromatin structure markers for identifying gene imprinting and loss thereof are also disclosed.

A genome-scale metabolic network reconstruction for Clostridium acetobutylicum (ATCC 824) was created using a new semi-automated reverse engineering algorithm. This invention includes algorithms and software that can reconstruct genome-scale metabolic networks for cell-types available through the Kyoto Encyclopedia of Genes and Genomes. This method can also be used to complete partial metabolic networks and cell signaling networks where adequate starting information base is available. The software may use a semi-automated approach which uses a priori knowledge of the cell-type from the user. Upon completion, the program output is a genome-scale stoichiometric matrix capable of cell growth in silico. The invention also includes methods for developing flux constraints and reducing the number of possible solutions to an under-determined system by applying specific proton flux states and identifying numerically-determined sub-systems. Although the model-building and analysis tools described in this invention were initially applied to C. acetobutylicum, the novel algorithms and software can be applied universally.

The invention relates to computer-implemented methods and systems for identifying regulatory relationships between expressed regulating polypeptides and targets of the regulatory activities of such regulating polypeptides. More specifically, the invention provides a new method for identifying regulatory dependencies between biochemical species in a cell. In particular embodiments, provided are computer-implemented methods for identifying a regulatory interaction between a transcription factor and a gene target of the transcription factor, or between a transcription factor and a set of gene targets of the transcription factor. Further provided are genome-scale methods for predicting regulatory interactions between a set of transcription factors and a corresponding set of transcriptional target substrates thereof.

The invention discloses a library versus library yeast two-hybrid massive interaction protein screening method. The method takes a genome-grade cDNA as the bait to screen the genome-grade cDNA library. In the application process of the method, the cDNA library is subjected to a homogenization treatment so as to reduce the masking effect of the high-abundance interaction proteins to the low-abundance interaction proteins, and thus the screening efficiency is improved; and moreover the characteristic of yeast URA3 gene is utilized so as to automatically remove the sequences, which have the self-activating function, in bait cDNA. The invention establish a library versus library yeast two-hybrid massive interaction protein screening method, which has the advantages of high feasibility, low cost, low requirements on experiment conditions, and low workload; and successfully applies the method to a screening of pathogen-host plant interaction proteins.

The present invention generally relates to libraries, kits, methods, applications and screens used in functional genomics that focus on gene function in a cell and that may use vector systems and other aspects related to Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR)-Cas systems and components thereof. The present invention also relates to rules for making potent single guide RNAs (sgRNAs) for use in CRISPR-Cas systems. Provided are genomic libraries and genome wide libraries, kits, methods of knocking out in parallel every gene in the genome, methods of selecting individual cell knock outs that survive under a selective pressure, methods of identifying the genetic basis of one or more medical symptoms exhibited by a patient, and methods for designing a genome-scale sgRNA library.

The present invention relates to the field of cancer. More specifically, the present invention provides methods and compositions useful for assessing prostate cancer. In a specific embodiment, present inventors have developed and applied a new technology and associated computation methods enabling simultaneous genome-scale analysis of genetic (copy number) and epigenetic (total methylation (TM) and allele-specific methylation (ASM) alternation, This method, called MBD-SNP, features affinity enrichment or methylated genomic DNA fragments using a methyl-binding domain polypeptide.