Invention Grant
- Patent Title: Generating configurable text strings based on raw genomic data
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Application No.: US16960005Application Date: 2019-01-09
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Publication No.: US11264119B2Publication Date: 2022-03-01
- Inventor: Ahmet Zehir , John Scott Ziegler
- Applicant: Memorial Sloan Kettering Cancer Center
- Applicant Address: US NY New York
- Assignee: Memorial Sloan Kettering Cancer Center
- Current Assignee: Memorial Sloan Kettering Cancer Center
- Current Assignee Address: US NY New York
- Agency: Foley & Lardner LLP
- International Application: PCT/US2019/012913 WO 20190109
- International Announcement: WO2019/139994 WO 20190718
- Main IPC: G16B45/00
- IPC: G16B45/00 ; G16B10/00

Abstract:
A genomic data translation system can be configured to process next-generation sequencing information. The system can receive an output file including raw genome data. The system can parse the output file to determine segments corresponding to individual chromosomes. The system can identify ranges of nucleotides and determine the first set of genes included in a human reference genome listing that fall within the ranges. The system can also maintain a gene list of genes, and determine a matched set of genes that are included in the gene list and the first set of genes. The system can generate a configurable text string including non-configurable regions and configurable regions. The configurable regions can be populated with text based on the raw genomic data, a set of translation rules, and a set of translation text strings.
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