Patents by Inventor Shreedharan Sriram

Shreedharan Sriram 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: 20150128308
    Abstract: As disclosed herein, optimal native genomic loci of soybean plants have been identified that represent best sites for targeted insertion of exogenous sequences.
    Type: Application
    Filed: November 3, 2014
    Publication date: May 7, 2015
    Inventors: Lakshmi SASTRY-DENT, Zehui CAO, Shreedharan SRIRAM, Steven R. WEBB, Debra L. CAMPER, W. Michael AINLEY
  • Publication number: 20150128307
    Abstract: As disclosed herein, optimal native genomic loci have been identified in dicot plants, such as soybean plants, that represent best sites for targeted insertion of exogenous sequences.
    Type: Application
    Filed: November 3, 2014
    Publication date: May 7, 2015
    Inventors: Lakshmi SASTRY-DENT, Zehui CAO, Shreedharan SRIRAM, Steven R. WEBB, Debra L. CAMPER
  • Publication number: 20150128310
    Abstract: As disclosed herein, optimal native genomic loci from maize plants have been identified that represent best sites for targeted insertion of exogenous sequences.
    Type: Application
    Filed: November 3, 2014
    Publication date: May 7, 2015
    Inventors: Lakshmi SASTRY-DENT, Zehui CAO, Shreedharan SRIRAM, Steven R. WEBB, Debra L. CAMPER
  • Publication number: 20120173153
    Abstract: Systems and methods for data analysis are provided. In one embodiment, a method may be provided for analysis comprising electronically receiving sequence data related to a plurality of sequences and a reference sequence, associating the sequence data with one of at least two groups, identifying a plurality of high quality read sequences from among the plurality of sequences, extracting a plurality of unique read sequences from the plurality of high quality read sequences, and aligning the plurality of unique read sequences against the reference sequence data corresponding to a reference sample. The method may further identify mutations in a targeted location, display the targeted mutations, and prioritize the technologies that caused the mutations according to their efficiency. In one example, the systems and methods are used to characterize the activity of several ZFN candidates.
    Type: Application
    Filed: December 20, 2011
    Publication date: July 5, 2012
    Applicant: DOW AGROSCIENCES LLC
    Inventors: Navin Elango, Joseph F. Petolino, Shreedharan Sriram, Lakshmi Sastry-Dent