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Multi-Omics Integration Patents: Top Companies & Filing Trends 2026

Multi-Omics Integration Patents: Top Companies & Filing Trends 2026
https://www.patsnap.com/resources/blog/rd-blog/multi-omics-integration-patent-landscape-patent-landscape/ · Patsnap · data cut-off 2026-08-31 · downloaded from the live page
Patent Landscape · Genomics, Omics & Bioinformatics
Multi-Omics Integration Patents: Who Holds the Ground and Where It's Still Open
  • 42.2% concentration at the top. The five leading assignees together hold 89 of the 211 records in scope — a tight cluster above a long tail of single- and few-filing entrants.
  • Filings up 106% in three years. Annual filings rose from 17 in 2021 to 35 in 2024, the last year with a mostly complete publication record.
  • Bioinformatics claims lag wet-lab claims. C12Q sequencing/testing claims cover 49.8% of records versus 19.4% for G16B bioinformatics — the integration layer itself is comparatively under-claimed.
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211
Published Records
42%
Top-5 Share of All Records
+106%
Filing Growth 2021→2024
US
Leading Jurisdiction

Filing growth compares 2021 (17 records) with 2024 (35) — a three-year span. 2024 is the most recent year we treat as complete: publication lags filing by roughly 18 months, so 2025 onwards are still filling in and any growth rate that ends there would understate the field. Top-5 share is the combined record count of the five largest assignees divided by all 211 records in scope (CR5), not by the ranked leaders only.

Published byPatsnap Research··7 min readSourced from Patsnap Eureka
Overview

What the multi-omics integration patent record actually shows

Multi-omics integration sits at the junction of sequencing chemistry, single-cell sample handling, and the computational pipelines that reconcile genomic, transcriptomic, and proteomic readouts into one interpretable result. The 211 records in scope span filings from 2015 through the 2026 cut-off, concentrated heavily in C12Q molecular assay claims and G01N material-analysis claims, with a smaller but persistent footprint in G16B bioinformatics and G16H healthcare informatics.

Because publication lags filing by roughly 18 months, the 2025 and 2026 counts in this dataset are still filling in and should not be read as a slowdown. The 2023 peak of 44 filings and the confirmed 2021-2024 growth are the more reliable signal of where the field is heading.

Filing activity and technology composition, 2015-2026
  1. 1SINGULAR GENOMICS SYSTEMS INC33
  2. 2BECTON DICKINSON & CO25
  3. 3BIOSKRYB GENOMICS INC14
  4. 4TEMPUS AI INC9
  5. 5BIOME-ASE RES LLC8
  6. 6RGT UNIV OF CALIFORNIA7
  7. 7PROTIFI LLC5
  8. 8THE TRUSTEES OF COLUMBIA UNIV IN THE CITY OF NEW YORK5
  9. 9KATHOLIEKE UNIV LEUVEN5
  10. 10ENTEROME5
Source: Patsnap Eureka. Assignee ranking and totals. Derived from a Patsnap search on Multi-Omics Integration Patent Landscape covering 2015–2026, data cut-off 2026-08-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
The data

Filing trend and technology composition

Two views of the same 211-record set: how filing activity has moved year over year, and which IPC subclasses carry the claim density right now.

A three-year growth run, not yet plateaued

Filings climbed from 9 in 2017 to a peak of 44 in 2023, with the confirmed 2021-2024 span showing 17 to 35 filings, a 106% increase. 2025 and 2026 figures are undercounted by publication lag and should not be read against that trend.

A three-year growth run, not yet plateaued01325385092017201820192020202120224420232024202522026Most recent year is partial — publication lag means later filings are not yet visible.

Wet-lab assay claims dominate; the integration layer is thinner

C12Q (measuring/testing involving enzymes or DNA) appears in 49.8% of the 211 records and G01N (material analysis) in 32.7%, while G16B (bioinformatics) and G16H (healthcare informatics) sit at 19.4% and 7.6% respectively — evidence that the sample-to-signal pipeline is more heavily claimed than the cross-omics computation that follows it.

Wet-lab assay claims dominate; the integration layer is thinnerC12Q · Measuring & testing involving …10549.8%G01N · Material analysis & testing6932.7%C12N · Microorganisms & genetic engin…4119.4%G16B · Bioinformatics4119.4%A61K · Medicinal preparations3516.6%A61P · Therapeutic activity of compou…2712.8%G16H · Healthcare informatics167.6%B01L · Lab apparatus115.2%Other9645.5%

Shares are the percentage of the 211 records in scope. A patent can carry several IPC classes, so the shares add up to more than 100%.

Source: Patsnap Eureka. Filing trend and technology composition. Derived from a Patsnap search on Multi-Omics Integration Patent Landscape covering 2015–2026, data cut-off 2026-08-31. Counts reflect published records only and shift as new filings publish.

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Key patents

The most-cited records in this corpus

Representative recent filing
US20260187286A12026-07-02

Data integration and quality control system

ATHOS THERAPEUTICS INC.

A data management system receives datasets from multiple sources, checks data integrity, runs quality control, and integrates selected datasets against reference libraries to produce an integrated analysis output for the requesting domain.Filed by Athos Therapeutics Inc., published 2026-07-02 as US20260187286A1 — illustrative of how integration claims are increasingly framed around data governance and QC rather than raw assay chemistry.

US20260187286A1 — patent drawing 1US20260187286A1 — patent drawing 2
View full record in Eureka
Highest-citation records in the multi-omics integration set
#Publication no.Patent titleCitations
1WO2019213294A1High throughput multiomics sample analysis170
2US20190338357A1High throughput multiomics sample analysis62
3US20220162695A1Use of dextramer in single cell analysis35
4US20200185063A1Systems and methods for patient stratification and identification of potential biomarkers27
5WO2023034790A1Use of decoy polynucleotides in single cell multiomics23
6WO2022235764A1Multiomic analysis device and methods of use thereof15
7WO2017214068A1Systems and methods for patient stratification and identification of potential biomarkers14
8US11773441B2High throughput multiomics sample analysis10
9US20230374572A1Multiomic analysis device and methods of use thereof9
10US20230088043A1Multiomic analysis device and methods of use thereof9

Citation counts favour older records that have had more time to accumulate references; treat them as a signal of influence within this searched corpus, not of current technical importance.

Each row carries its publication number; clicking a row searches Eureka by that number.

Source: Patsnap Eureka. Citation counts and representative records. Derived from a Patsnap search on Multi-Omics Integration Patent Landscape covering 2015–2026, data cut-off 2026-08-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
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Insights

What the numbers mean for filing strategy

Three findings that shape where a new application is likely to clear examination and where it will land on top of dense prior art.

Concentration
42.2% / 89 of 211
top 5 assignees, share of all records

The top of the field is tight, the rest is long-tail

Five assignees hold 89 of the 211 records in scope, and the tenth-ranked assignee holds only 5. That gap between the leader (33 records) and the rest suggests most of the ranked field is made up of one- or two-filing entrants rather than sustained programmes.

Ranked across 90 companies in the assignee table
Growth
+106%
filings, 2021 to 2024

Momentum built steadily through 2023, then the record thins from lag

Filings rose from 17 in 2021 to 35 in 2024, with 2023 the peak year at 44. Counts for 2025 and 2026 are not yet complete because publication trails filing by about 18 months, so the apparent tail-off should not be read as declining interest.

Peak year: 2023 at 44 filings
Technology mix
49.8% vs 19.4%
C12Q share vs G16B share of 211 records

Assay chemistry is claimed far more densely than the integration layer

C12Q and G01N together touch the majority of records, covering sequencing, testing and material-analysis claims. G16B bioinformatics and G16H healthcare informatics sit well behind, which points to the cross-omics computation step as comparatively open ground rather than saturated.

Shares sum above 100% because records can carry multiple IPC classes
Jurisdictions
78 US filings
of receiving-office totals given

Filing is US- and PCT-heavy, with Europe a distant third

The United States receives the largest share of filings, followed by WIPO PCT applications and the EPO, with Canada, Australia and India trailing well behind. A filing strategy built only around US and PCT coverage would match where the bulk of activity already sits.

US 78 · WIPO 60 · EPO 45 · Canada 9 · Australia 6 · India 5
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Source: Patsnap Eureka. Co-assignee relationships and derived observations. Derived from a Patsnap search on Multi-Omics Integration Patent Landscape covering 2015–2026, data cut-off 2026-08-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
Players

Who is filing, and where the claim gaps sit

The leader holds 33 records; by the tenth position that falls to 5, and the majority of the 90 ranked assignees appear only a handful of times — a pattern typical of a field still forming its dominant claim positions.

Leader
33 records
single top assignee

A single leader well ahead of the field

The top-ranked assignee holds 33 of the 211 records, more than double the fifth-place count of 8. That gap is wide enough to suggest a deliberate, sustained filing programme rather than opportunistic coverage.

Leader vs fifth place: 33 vs 8
Mid-tier
8 to 5
records, fifth to tenth place

A compressed mid-tier before the long tail begins

Between fifth and tenth place the count only drops from 8 to 5, indicating a small cluster of comparably sized programmes rather than a single clear second-place challenger.

Positions 5-10 of 90 ranked assignees
Collaboration
8 pairs
co-assignee pairings identified

Co-filing is rare and mostly bilateral

Only eight co-assignee pairs appear across the dataset, and the strongest pairing recurs just four times. Most records in this field are filed by a single assignee rather than through joint ventures or shared research agreements.

Strongest pairing recurs 4 times
🔍
Under-claimed sub-areas worth a freedom-to-operate check
Branches where filing density is visibly thinner than the assay-chemistry core
cross-platform data harmonisation pipelinessingle-cell multi-omics quality controlreference-library-driven integration workflowshealthcare informatics for omics stratificationdecoy-polynucleotide multi-omics tagging
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Recent-year momentum by assignee
AssigneeRecent yearYoY
Singular Genomics Systems Inc.0-100%
Becton, Dickinson and Company0-100%
BioSkryb Genomics Inc.0
TEMPUS LABS INC0
BIOME-ASE RES LLC0-100%
Berg LLC0
The Regents of the University of California0-100%
The Trustees of Columbia University in the City of New York0
Source: Patsnap Eureka. Assignee-level momentum. Derived from a Patsnap search on Multi-Omics Integration Patent Landscape covering 2015–2026, data cut-off 2026-08-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
What's next

Where to take this analysis

The dataset points to a field with a clear leader, a thin bioinformatics layer, and filing activity still understated for the most recent years.

Check freedom-to-operate against the leader's claims

With one assignee holding 33 of 211 records, a targeted claim-scope review of that portfolio is a faster first step than a full landscape search before committing to a filing direction.

Run a claim comparison in Eureka

Draft around the integration-layer gap

G16B bioinformatics claims cover only 19.4% of records against 49.8% for C12Q assay claims, leaving the cross-omics computation step comparatively open for a first-mover claim.

Explore white space in Eureka
Source: Patsnap Eureka. Forward-looking reading of the same dataset. Derived from a Patsnap search on Multi-Omics Integration Patent Landscape covering 2015–2026, data cut-off 2026-08-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
FAQ

Common questions about the multi-omics integration patent landscape

Answers are grounded in the same dataset. Derived from a Patsnap search on Multi-Omics Integration Patent Landscape covering 2015–2026, data cut-off 2026-08-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP

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Disclaimer. This page is generated from Patsnap Eureka data drawn from a limited snapshot of global patent and scientific-literature records, and is provided for general information and reference only.

Patent data carries inherent limitations: recent filings (typically the most recent 18–24 months) are under-counted due to standard publication lag; counts may be reported at either a patent-family or a patent-record basis and are not always directly comparable; classification, applicant-name, and citation data may contain errors, duplicates, or omissions; and the underlying search query defines and constrains the scope shown. As a result, the analysis may be incomplete or inaccurate and may not reflect the full technology landscape.

Nothing on this page constitutes an exhaustive prior-art, novelty, freedom-to-operate, or validity search, nor does it constitute legal, financial, investment, or professional advice, and it should not be relied upon as such. Any patent, commercial, or strategic decision should be verified independently and reviewed with qualified patent, legal, and domain professionals. Patsnap makes no warranties, express or implied, as to the accuracy, completeness, or fitness for any particular purpose of the information presented.

Machine translation. Assignee and organisation names originally recorded in Chinese, Japanese or Korean have been rendered into English by an AI translation step so that the tables stay readable. These renderings are best-effort and may not match a company’s registered English name; the original name is what the underlying patent record carries, and it is what any Eureka query launched from this page uses.

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