IP Library Granted Patent US 12,424,301
Granted Patent B2
US 12,424,301 · App. 18/459,180 · Granted Sep 23, 2025

Method and system for providing genetic information analysis results

Inventors: Jongkeun Lee (Goyang-si, KR); Seongyeol Park (Daejeon, KR); Youngoh Kwon (Incheon, KR)
Assignee: Inocras Korea Inc.
G16B45/00G16B20/50G16B30/10G16B35/00
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Quick Facts
Patent No.
US 12,424,301
App. No.
18/459,180
Granted
Sep 23, 2025
Kind
B2
Abstract

Disclosed is a method of providing genetic information analysis results performed by at least one hardware processor. The method may include displaying a user interface configured to provide genetic information analysis results for a specimen. The user interface includes: a list of genes associated with a specific disease in a first region within the user interface; a first browser configured to visualize and search for information regarding a variant obtained from analysis of the specimen in a second region within the user interface; and a second browser configured to search for sequence information obtained from analysis of the specimen in a third region within the user interface. The method may further include displaying, in response to user input received through the user interface, interactive response information comprising details of the genetic information analysis results to at least one region within the user interface.

Claims (100)

1. A method of providing genetic information analysis results, performed by at least one hardware processor, the method comprising:

displaying a user interface configured to provide genetic information analysis results for a specimen, wherein the user interface comprises:

a list of genes associated with a specific disease in a first region within the user interface;

a first browser configured to display and search for information regarding a variant obtained from analysis of the specimen in a second region within the user interface; and

a second browser configured to search for sequence information obtained from the analysis of the specimen, in a third region within the user interface; and

displaying, in response to a user input received through the user interface, interactive response information comprising details of the genetic information analysis results to at least one region within the user interface,

wherein in the first browser, labels of genes corresponding to a plurality of mutations detected from the specimen are displayed correspondingly to location of the genes,

wherein the displaying the interactive response information comprises:

receiving the user input that selects, among the list of genes displayed in the first region, a gene where a specific mutation is identified;

displaying, on the first browser, a part of the variant information, which corresponds to the selected gene; and

displaying, on the second browser, a part of the sequence information, which corresponds to the selected gene, and

wherein the displaying the interactive response information further comprises:

displaying, on the part of the variant information, graphic objects in locations corresponding to regions where variants are found in the selected gene;

checking whether the graphic objects are located within a threshold distance, whether more than a threshold number of the graphic objects are located within the threshold distance, or whether a density of the graphic objects is equal to or greater than a threshold value;

determining a dense region where the graphic objects are located within the threshold distance, where more than the threshold number of the graphic objects are located within the threshold distance, or where the density of the graphic objects is equal to or greater than the threshold value; and

automatically enlarging or zooming in the dense region for a predetermined period of time.

2. The method according to claim 1 , wherein the step of displaying the user interface further comprises displaying a graphic object representing a location of the specific mutation in the region displayed in the second browser, and

the method further comprises:

obtaining information regarding the specific mutation from the genetic information analysis results of the specimen; and

displaying, in response to receiving user input to select the graphic object, the information regarding the specific mutation, through the second browser.

3. The method according to claim 1 ,

wherein the step of displaying the interactive response information further comprises:

determining that first amino acid associated with the selected gene where the specific mutation is identified is different from second amino acid translated from a reference sequence, and;

upon the determination, controlling the second browser to display amino acid change information indicating a difference between the first amino acid and the second amino acid, and

wherein the amino acid change information is displayed in a location associated with the specific mutation within the sequence information.

4. The method according to claim 3 , further comprises:

in response to determination that the first amino acid associated with the selected gene where the specific mutation is identified is different from second amino acid translated from the reference sequence, automatically enlarging an amino acid region of the first amino acid associated with the selected gene.

5. The method according to claim 1 , further comprising:

identifying the specific disease based on a disease code included in patient information; and

wherein the list of genes comprises at least one gene where a mutation is identified from the specimen, the mutation being related to the specific disease.

6. The method according to claim 1 ,

wherein the list of genes comprises oncogenes related to the specimen and tumor suppressor genes related to the specimen, and

wherein a label of at least one oncogene is displayed in the first region using a first graphic element and a label of at least one tumor suppressor gene is displayed in the first region using a second graphic element.

7. The method according to claim 1 ,

wherein the step of displaying the user interface further comprises displaying, on the second browser, a graphic object representing a location of the specific mutation within the sequence information displayed in the second browser, and

wherein the step of displaying the interactive response information comprises controlling, in response to receiving user input to select the graphic object, the second browser to enlarge a region of the sequence information associated with the specific mutation.

8. The method according to claim 7 , wherein a character associated with at least one of an altered base and an altered amino acid identifier is displayed in the enlarged region of the sequence information.

9. The method according to claim 1 , wherein the user interface further comprises:

a comment field,

wherein the method further comprises:

storing at least one of email addresses, contacts, and terminal IP addresses of users participating in each project;

receiving a user comment through the comment field;

identifying a particular project associated with the specimen; and

providing the received user comment to at least one other user who is participating in the particular project.

10. The method according to claim 1 ,

wherein the step of displaying the user interface further comprises:

displaying first information associated with a plot of tumor mutational burden for the specimen within an additional region of the user interface, and

wherein the first information comprises tumor mutational burden statistics for at least one of a single nucleotide variation for the specimen, an indel for the specimen, and structural variants (SVs) for the specimen.

11. The method according to claim 10 , wherein the step of displaying the interactive response information further comprises:

obtaining second information associated with a plot of tumor mutational burden for another specimen; and

displaying the first information and the second information in association with each other.

12. The method according to claim 1 , wherein the step of displaying the interactive response information further comprises:

receiving user input to request a comparison of a specific mutation among mutations found in the specimen;

obtaining details of the specific mutation found in another specimen; and

correlating details of the specific mutation found in the specimen with the details of the specific mutation found in the another specimen and displaying the correlation result.

13. The method according to claim 1 ,

wherein the step of displaying the user interface further comprises displaying an input field in which a gene identifier is entered, and

the method further comprises:

receiving a gene identifier entered through the input field; and

adding a gene corresponding to the received gene identifier to the list of genes.

14. The method according to claim 1 , further comprising:

automatically generating a message containing the interactive response information, in response to user input received through the user interface; and

transmitting the message to all of external devices being connected with the at least one processor via a network, so that each external device has immediate access to the interactive response information.

15. A non-transitory computer-readable recording medium storing a computer program being executed by a hardware processor to perform the method according to claim 1 .

16. A system comprising:

an information processing system;

a sequencing device;

a DNA library including DNA fragments obtained from one or more patients,

wherein the information processing system collects information from a network of a medical data institution containing DNA information of one or more subjects, to configure the DNA library,

wherein the information processing system comprises a local computer generating network access requests for individual controlled access network accounts, which are managed by the medical data institutions,

wherein the DNA library is loaded into a flow cell to be introduced into the sequencing device,

wherein the sequencing device identifies a base type of each DNA fragment included in the DNA library, and generate marking data including a marking code corresponding to the identified base type,

wherein the sequencing device updates marking data at each cycle by identifying one base included in each DNA fragment, generates a marking code corresponding to the identified base, and further writes the generated marking code to the marking data,

wherein at each cycle, the sequencing device generates a single image file representing marking codes generated for all DNA fragments, and the marking data is a set of image files generated at each cycle and is stored in a storage device which the information processing system has access, and

wherein the information processing system analyzes a base sequence and outputs, or displays, a genetic information analysis result report including the analyzed results, and the information processing system transmits analysis results to a computing device; and

the computing device comprising:

a hardware memory;

a display; and

at least one hardware processor connected to the hardware memory, and configured to execute at least one computer-readable program stored in the hardware memory,

wherein the at least one hardware processor is configured to:

control the display to display a user interface configured to provide genetic information analysis results for a specimen, wherein the user interface comprises:

a list of genes associated with a specific disease in a first region within the user interface;

a first browser configured to display and search for information regarding a variant obtained from analysis of the specimen in a second region within the user interface; and

a second browser configured to search for sequence information obtained from analysis of the specimen in a third region within the user interface; and

control the display to display, in response to user input received through the user interface, interactive response information comprising details of the genetic information analysis results to at least one region within the user interface,

wherein in the first browser, labels of genes corresponding to a plurality of mutations detected from the specimen are displayed correspondingly to location of the genes,

wherein the at least one hardware processor is further configured to:

receive the user input that selects, among the list of genes displayed in the first region, a gene where a specific mutation is identified;

control the display to display, on the first browser, a part of the variant information, which corresponds to the selected gene;

control the display to display, on the second browser, a part of the sequence information, which corresponds to the selected gene;

control the display to display, on the part of the variant information, graphic objects in locations corresponding to regions where variants are found in the selected gene;

check whether the graphic objects are located within a threshold distance, whether more than a threshold number of the graphic objects are located within the threshold distance, or whether a density of the graphic objects is equal to or greater than a threshold value;

determine a dense region where the graphic objects are located within the threshold distance, where more than the threshold number of the graphic objects are located within the threshold distance, or where the density of the graphic objects is equal to or greater than the threshold value; and

control the display to automatically enlarge or zoom in the dense region for a predetermined period of time.

17. The system according to claim 16 , wherein the at least one hardware processor is configured to:

automatically generate a message containing the interactive response information, in response to user input received through the user interface; and

transmit the message to all of external devices being connected with the at least one processor via a network, so that each external device has immediate access to the interactive response information.

18. The method of claim 1 , wherein the first browser shows a first graphic element for displaying a label of a gene associated with a mutation associated with causing a disease, and a second graphic element for displaying a label of a gene associated with a mutation associated with suppressing the disease.

19. The method according to claim 1 , wherein the displaying the part of the variant information further comprises:

rotationally displaying one graphic object of the graphic objects at a time interval.

Assignments (2)
CHANGE OF NAME Recorded Jun 12, 2025
From: GENOME INSIGHT TECHNOLOGY, INC.
To: INOCRAS KOREA INC.
Reel/Frame 071548/0713 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Aug 31, 2023
From: LEE, JONGKEUN; PARK, SEONGYEOL; KWON, YOUNGOH
To: GENOME INSIGHT TECHNOLOGY, INC.
Reel/Frame 064768/0245 →
Priority Claims (2)
KR 10-2022-0112416 · Sep 5, 2022 · national
KR 10-2022-0167819 · Dec 5, 2022 · national
Continuity (1)
Related Publication 20240079094A1 · Mar 7, 2024
References Cited (21)
KR 1020120042060A · 2012 [cited by applicant]
KR 1020160099618A · 2016 [cited by applicant]
KR 1020170019335A · 2017 [cited by applicant]
KR 101967248B1 · 2019 [cited by applicant]
KR 1020200004204A · 2020 [cited by applicant]
KR 1020210067529A · 2021 [cited by applicant]
KR 1020210094783A · 2021 [cited by applicant]
Ferstay, Joel A., Cydney B. Nielsen, and Tamara Munzner. “Variant view: visualizing sequence variants in their gene context.” IEEE transactions on visualization and computer graphics 19.12 (2013): 2546-2555. [cited by examiner]
Huang, Po-Jung, et al. “Vanno: A Visualization-Aided Variant Annotation Tool.” Human mutation 36.2 (2015): 167-174. [cited by examiner]
Jia, Wenlong, et al. “Oviz-Bio: a web-based platform for interactive cancer genomics data visualization.” Nucleic acids research 48. W1 (2020): W415-W426. [cited by examiner]
Thorvaldsdottir, Helga, James T. Robinson, and Jill P. Mesirov. “Integrative Genomics Viewer (IGV): high-performance genomics data visualization and exploration.” Briefings in bioinformatics 14.2 (2013): 178-192. [cited by examiner]
Loraine, Ann E., and Gregg A. Helt. “Visualizing the genome: techniques for presenting human genome data and annotations.” BMC bioinformatics 3 (2002): 1-8. [cited by examiner]
Arakawa, Kazuharu, et al. “Genome Projector: zoomable genome map with multiple views.” BMC bioinformatics 10 (2009): 1-10. [cited by examiner]
Watkins, Xavier, et al. “ProtVista: visualization of protein sequence annotations.” Bioinformatics 33.13 (2017): 2040-2041. [cited by examiner]
Jaemoon Shin et al. “PhenGenVar: A User-Friendly Genetic Variant Detection and Visualization Tool for Precision Medicine” J. Pers. Med., 2022, pp. 1-11, vol. 12, No. 959. [cited by applicant]
Thomas M. Pearce et al. “Interactive Browser-Based Genomics Data Visualization Tools for Translational and Clinical Laboratory Applications” The Journal of Molecular Diagnostics, Nov. 2019, pp. 985-993, vol. 21, No. 6. [cited by applicant]
International Search Report issued in PCT/KR2023/010796; mailed Oct. 30, 2023. [cited by applicant]
The extended European search report issued by the European Patent Office on Jan. 31, 2024, which corresponds to European Patent Application No. 23194787.0-1126 and is related to U.S. Appl. No. 18/459,180. [cited by applicant]
Shin Jaemoon et al., “PhenGenVar: A User-Friendly Genetic Variant Detection and Visualization Tool for Precision Medicine”, Journal of Personalized Medicine, vol. 12, No. 959, Jun. 12, 2022, pp. 1-11, XP093082442, doi: … [cited by applicant]
Anonymous, “Browsing Genomes with Ensembl / Coursebook v102”, Jan. 26, 2021, pp. 1-60, XP93119941, https://ftp.ebi.ac.uk/pub/databases/ensembl/training/2021/OpenVirtualBrowser/Virtual_Browser_Ensembl_Coursebook.pdf. [cited by applicant]
Ensembl Training, “Virtual Workshop—The Ensembl Genome Browser—(2021): Webinar 3—Variation data and the VEP”, YouTube video, Feb. 1, 2021, XP93120045, https://www.youtube.com/watch?v=6MItwC-ydN0. [cited by applicant]