Patents
Literature
Patsnap Copilot is an intelligent assistant for R&D personnel, combined with Patent DNA, to facilitate innovative research.
Patsnap Copilot

36 results about "Comparative genomic hybridization" patented technology

Comparative genomic hybridization is a molecular cytogenetic method for analysing copy number variations (CNVs) relative to ploidy level in the DNA of a test sample compared to a reference sample, without the need for culturing cells. The aim of this technique is to quickly and efficiently compare two genomic DNA samples arising from two sources, which are most often closely related, because it is suspected that they contain differences in terms of either gains or losses of either whole chromosomes or subchromosomal regions (a portion of a whole chromosome). This technique was originally developed for the evaluation of the differences between the chromosomal complements of solid tumor and normal tissue, and has an improved resolution of 5–10 megabases compared to the more traditional cytogenetic analysis techniques of giemsa banding and fluorescence in situ hybridization (FISH) which are limited by the resolution of the microscope utilized.

Detection of chromosoal abnormalities associated with breast cancer

Disclosed are new methods comprising the use of in situ hybridization to detect abnormal nucleic acid sequence copy numbers in one or more genomes wherein repetitive sequences that bind to multiple loci in a reference chromosome spread are either substantially removed and / or their hybridization signals suppressed. The invention termed Comparative Genomic Hybridization (CGH) provides for methods of determining the relative number of copies of nucleic acid sequences in one or more subject genomes or portions thereof (for example, a tumor cell) as a function of the location of those sequences in a reference genome (for example, a normal human genome). The intensity(ies) of the signals from each labeled subject nucleic acid and / or the differences in the ratios between different signals from the labeled subject nucleic acid sequences are compared to determine the relative copy numbers of the nucleic acid sequences in the one or more subject genomes as a function of position along the reference chromosome spread. Amplifications, duplications and / or deletions in the subject genome(s) can be detected. Also provided is a method of determining the absolute copy numbers of substantially all RNA or DNA sequences in subject cell(s) or cell population(s).
Owner:RGT UNIV OF CALIFORNIA

Methods and systems and analysis of CGH data

Methods, systems and computer readable media for analysis of comparative genomic hybridization data analysis, including creating a centralization curve from log ratio data values for DNA copy numbers of a genome of a test sample relative to a genome of a reference sample, wherein the reference sample has a known ploidy, and the test sample has a same copy number as the reference sample in normal, non-aberrant genomic regions; identifying a peak corresponding to regions of normal copy number in the centralization curve; centralizing the log ratio data so that the peak corresponding to regions of normal copy number is centered at a log ratio value of zero; calculating a mathematical measurement that is a function of the width of the peak corresponding to regions of normal copy number; calculating a tolerance value as a function of the mathematical measurement; and outputting the tolerance value. Methods, systems and computer readable media are provided to create a centralization curve from log ratio data values for DNA copy numbers of a genome of a test sample relative to a genome of a reference sample, wherein the reference sample has a known ploidy, and the test sample has a same copy number as the reference sample in normal, non-aberrant genomic regions; identify peaks in the centralization curve; assign copy numbers to the identified peaks; plot expected ratios, based on the assigned copy numbers, of the peaks versus observed ratios of the peaks calculated from the log ratio data values; conclude that the assigned copy numbers are correct if the plot of the expected ratios versus the observed ratios is substantially linear; and output at least one of the plot of expected ratios versus observed ratios, and a conclusion as to whether the plot is substantially linear.
Owner:AGILENT TECH INC
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products