Patents by Inventor Shreeram Akilesh

Shreeram Akilesh has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20100023272
    Abstract: Methods and applications of Global Patter Recognition (GPR), including a system for analyzing the results of real-time polymerase chain reaction (RT-PCR) experiments employing micro-titer and/or microarray plates and robotic plate readers is described. The system employs a set of self-normalizing housekeeping primers or oligonucleotides on the plates/arrays and an algorithmic approach to normalizing expression data from all primers on the plate based on the reaction products of several of the self-normalizing gene primers oligonucleotides. Normalization is accomplished using simplex reactions involving these self-normalizing primers/oligonucleotides; the normalization parameters are then useable across all control and experimental reactions of the plate/array. A ranked list of genes whose amount of change is statistically significant can be determined. The accuracy of this list is enhanced by the data normalization aspect of the system. Other applications of GPR are also disclosed herein.
    Type: Application
    Filed: July 29, 2009
    Publication date: January 28, 2010
    Applicant: The Jackson Laboratory
    Inventors: Shreeram Akilesh, Derry Roopenian, Daniel J. Shaffer
  • Publication number: 20060129331
    Abstract: Systems and methods for performing rapid genomic DNA analysis of samples, such as control samples and experimental samples. In one aspect, the system makes use of genomic DNA input, rather than gene expression input such as mRNA and/or cDNA associated with mRNA. The systems and methods perform statistical analyses on data generated from the samples to determine which DNA sequences in an identified set of DNA sequences have a basis of variation in an experimental sample when compared to a control sample, and additionally provide a quantitative measure of this variation. The quantitative measure may be based on metrics such as copy number and/or fold-change. The systems and methods employ this statistical framework in DNA-based evaluation settings, including the evaluation/diagnosis of a pathological condition such as cancer or transgenic analysis of transgenic plants and animals.
    Type: Application
    Filed: January 26, 2006
    Publication date: June 15, 2006
    Applicant: The Jackson Laboratory
    Inventors: Shreeram Akilesh, Kevin Mills, Derry Roopenian, Daniel Shaffer