公开(公告)号：US20240071569A1

公开(公告)日：2024-02-29

申请号：US18034417

申请日：2021-11-01

Applicant: BASF CORPORATION

Inventor： Erin Marie Davis ,  Sebastian Hermann Martschat ,  Jonathan T. Vogel

IPC: G16B40/00 ,  G06N3/045 ,  G06N3/08

CPC classification number: G16B40/00 ,  G06N3/045 ,  G06N3/08 ,  G06F40/20

Abstract: Apparatuses, systems, and methods are provided that may analyze deoxyribonucleic add (DNA) sequence data using a natural language processing (NLP) model to, for example, identify genetic elements such as known and/or novel cis-regulatory elements {e.g., known and/or putative novel drought-responsive cis-regulatory elements (DREs)). Apparatuses, systems, and methods are also provided that may identify transcriptional regulators {e.g., upstream transcriptional regulators of a novel putative DRE) based on natural language processing (NLP) model data and expression genome-wide association study (eGWAS) data. Apparatuses, systems, and methods are also provided that may verify putative novel cis-regulatory elements based on a comparison of natural language processing (NLP) model output data and other model output data.

公开(公告)号：US20220139498A1

公开(公告)日：2022-05-05

申请号：US17088734

申请日：2020-11-04

Applicant: BASF CORPORATION

Inventor： Erin Marie Davis ,  Sebastian Hermann Martschat ,  Jonathan T. Vogel

IPC: G16B40/00 ,  G06N3/08 ,  G06N3/04

Abstract: Apparatuses, systems, and methods are provided that may analyze deoxyribonucleic add (DNA) sequence data using a natural language processing (NLP) model to, for example, identify genetic elements such as known and/or novel cis-regulatory elements (e.g., known and/or putative novel drought-responsive cis-regulatory elements (DREs)). Apparatuses, systems, and methods are also provided that may identify transcriptional regulators (e.g., upstream transcriptional regulators of a novel putative DRE) based on natural language processing (NLP) model data and expression genome-wide association study (eGWAS) data. Apparatuses, systems, and methods are also provided that may verify putative novel cis-regulatory elements based on a comparison of natural language processing (NLP) model output data and other model output data.