Abstract: Processes that determine transcriptional regulation from genetic sequence data are described. Generally, computational models are trained to predict transcriptional regulatory effects, which can be used in several downstream applications. Various methods further develop research tools, develop and perform diagnostics, and treat individuals based on identified variants.
Type:
Application
Filed:
June 21, 2022
Publication date:
June 5, 2025
Applicants:
The Trustees of Princeton University, The Simons Foundation, Inc., The Board of Regents of The University of Texas System
Inventors:
Olga G. Troyanskaya, Kathleen Chen, Jian Zhou
Abstract: Processes to determine the effect of genetic sequence on gene expression levels are described. Generally, models are used to determine spatial chromatin profile from genetic sequence, which can be used in several downstream applications. The effect of the spatial chromatin profile on gene expression is also determined in some instances. Various methods further develop research tools, perform diagnostics, and treat individuals based on sequence effects on gene expression levels.
Type:
Grant
Filed:
March 26, 2019
Date of Patent:
December 24, 2024
Assignees:
The Trustees of Princeton University, The Simons Foundation, Inc.
Inventors:
Jian Zhou, Chandra Theesfeld, Olga G. Troyanskaya
Abstract: Processes to identify variants that affect biochemical regulation are described. Generally, models are used to identify variants that affect biochemical regulation, which can be used in several downstream applications. A pathogenicity of identified variants is also determined in some instances, which can also be used in several. Various methods further develop research tools, perform diagnostics, and treat individuals based on identified variants.
Type:
Application
Filed:
January 28, 2019
Publication date:
March 11, 2021
Applicants:
The Trustees of Princeton University, The Simons Foundation, Inc., The Rockefeller University
Inventors:
Jian Zhou, Christopher Y. Park, Chandra Theesfeld, Robert B. Darnell, Olga G. Troyanskaya
Abstract: Processes to determine the effect of genetic sequence on gene expression levels are described. Generally, models are used to determine spatial chromatin profile from genetic sequence, which can be used in several downstream applications. The effect of the spatial chromatin profile on gene expression is also determined in some instances. Various methods further develop research tools, perform diagnostics, and treat individuals based on sequence effects on gene expression levels.
Type:
Application
Filed:
March 26, 2019
Publication date:
January 28, 2021
Applicants:
The Trustees of Princeton University, The Simons Foundation, Inc.
Inventors:
Jian Zhou, Chandra Theesfeld, Olga G. Troyanskaya