https://eureka.patsnap.com/resources/blog/rd-blog/multiple-sequence-alignment-scoring-algorithm-patent-landscape/ · Patsnap · data cut-off 2026-10-27 · downloaded from the live page
Patent Landscape · Bioinformatics

Multiple Sequence Alignment Scoring Algorithm Patents

167 patent families and 295 records on multiple sequence alignment scoring algorithms, spanning bioinformatics and AI-based computing classes.

295
Published Records
167
Simple Patent Families
1%
Families Naming the Largest Filer
23%
In Force at Cut-off

295 published records collapse into 167 simple (DOCDB) families; the difference is the same invention filed in more than one country. THE BROAD INST INC is named on 2 of the 167 patent families in scope. One patent family can name several filers, so these figures are not slices of a divided whole and do not add up. In force = 69 of 295 records still granted and maintained at the data cut-off; the rest are pending, withdrawn, refused or lapsed.

  • 167 simple patent families and 295 published records sit in scope for this search. No single filer holds more than 2 families, with 16 entities tied at that count.
  • G06F (electric digital data processing) appears on the largest share of families. 46.7% of the 167 families carry a G06F class, ahead of G16B bioinformatics at 26.9% and G06N AI-based computing at 26.3%.
  • China and the United States are the largest receiving offices by published records. 81 and 71 records respectively, among 18 receiving offices returned in total.
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Published byPatsnap Research··6 min readSourced from Patsnap Eureka
Overview

What this dataset covers

This landscape is built from a search for records that mention multiple sequence alignment or sequence alignment together with an algorithm or heuristic and a scoring or optimization term. The search string sets no date limit, so the set reflects every matching record the database holds, not a fixed window of years. It returns 167 simple patent families (one per invention, de-duplicated across countries) built from 295 published records (one per publication, so the same invention can appear more than once if it was filed in several places).

The technology composition below is read against the family total of 167, and because one family can carry several IPC classes, the shares add up to more than 100%. The filer list that follows counts organisations: filings held by named individuals are stripped out of the table but remain inside every total and share quoted on this page.

Families and records in scope
  1. THE BROAD INST INC2
  2. HOHAI UNIV2
  3. LONGYU ELECTRONICS MEIZHOU2
  4. CALIFORNIA INST OF TECH2
  5. PRESIDENT & FELLOWS OF HARVARD COLLEGE2
  6. BAYER INTPROP GMBH2
  7. AMBRX INC2
  8. VERENIUM CORP2
  9. ZHEJIANG UNIV2
  10. SHANDONG NORMAL UNIV2

Counted over all 295 published records, including filings from before 2007; the filing-trend chart below covers only the 236 records from 2007 onward, so the two charts are not the same set of documents. Ordered by volume only, not by importance or claim strength. Counted in simple (DOCDB) patent families, so one invention filed in several countries counts once. Names come from Patsnap's standardised assignee field as recorded on each document; subsidiaries and group companies are not merged. The icon before each name is read from the name itself (words such as University, Institute or Ltd); the data carries no organisation-type field, so treat it as a reading aid rather than a classification. Filings held by named individuals rather than organisations are removed where they can be identified (9 here); that identification is not exhaustive, so an individually held filing can still appear below. Either way those filings stay inside the totals above. This table shows the top 30 of the 91 filers returned for this search; the data endpoint returns at most 100 entities, so even that 91 is not the complete set of filers. A single family can name more than one filer, so these counts overlap and do not add up to the total.

Source: Patsnap Eureka. Assignee ranking and totals. Derived from one Patsnap search for Multiple Sequence Alignment Scoring Algorithm Patent Landscape, covering all matching records regardless of filing date (the search string sets no date limit), retrieved 2026-10-27. Counts cover published records only and move as new filings publish.Run this in Eureka MCP
Data

Filing trend and technology composition

The filing trend below counts published records by earliest filing year; the technology split counts simple patent families against IPC subclass.

Filing trend, 2007–2026 (published records) (236 of 295 published records)

Published records by earliest filing year run from 12 in 2007 to a peak of 41 in 2025, with 27 recorded so far for 2026. Years from 2022 onward are still filling in as later-filed records continue to publish, so the shaded recent stretch understates its eventual count; this is a publication-lag effect, not a fall-off in filing.

Filing trend, 2007–2026 (published records) (236 of 295 published records)01325385012200720092011201320152017201920212023412025272022 onwards are shaded as still filling in: a filing is only visible once it publishes, up to 30 months after filing.

Counted in published records by earliest filing year, not de-duplicated into families. A filing is counted in the year it was filed, but it only becomes visible after it publishes: roughly 18 months for most routes, and up to 30 months where a PCT application enters national phase. 2022 onwards are therefore still filling in and are shaded; no growth figure on this page uses them. Because this series counts documents rather than inventions, a rise can mean more inventions or the same inventions filed in more countries; this dataset cannot separate the two. This chart covers 2007-2026 (236 records); the 295 total quoted above includes earlier filings outside the window.

Technology composition (IPC subclass, share of 167 families)

G06F (electric digital data processing) appears on 78 of the 167 families (46.7%), the highest share of any subclass tracked here. G16B (bioinformatics) follows at 45 families (26.9%) and G06N (computing based on AI models) at 44 families (26.3%); because a family can carry more than one class, these shares overlap rather than add up to a partition of the set.

Technology composition (IPC subclass, share of 167 families)G06F · Electric digital data processi…7846.7%G16B · Bioinformatics4526.9%G06N · Computing based on AI models4426.3%G06Q · Business, commerce & admin dat…2414.4%C07K · Peptides & proteins1911.4%C12N · Microorganisms & genetic engin…148.4%A61K · Medicinal preparations137.8%G01N · Material analysis & testing106.0%Other10663.5%

Shares are the percentage of the 167 patent families in scope. One patent family can carry several IPC classes, so the shares add up to more than 100%.

Source: Patsnap Eureka. Filing trend and technology composition. Derived from one Patsnap search for Multiple Sequence Alignment Scoring Algorithm Patent Landscape, covering all matching records regardless of filing date (the search string sets no date limit), retrieved 2026-10-27. Counts cover published records only and move as new filings publish.

Go deeper on Multiple Sequence Alignment Scoring Algorithm Patent Landscape with Eureka

This page is one run against one query. Ask Eureka your own question about multiple sequence alignment scoring algorithm patent landscape and every answer comes back with the patent numbers behind it.

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Example record

A record from the result set

First record returned
WO2019150399A12019-08-08

WO2019150399A1, Implementation of dynamic programming in multiple sequence alignment

Held by an individual, not an organisation

The application describes a method that uses a referral algorithm: a reference sequence is selected and each query sequence is paired with it individually. Each pair is treated as an individual plane, and a padding operation is performed over each plane, producing a stack with at least one uniform side between planes.This is the first record returned under the database's default ordering, not the most cited, newest or broadest filing in the set. It is shown to illustrate what one family in this dataset actually claims, not to represent the field as a whole.

WO2019150399A1, patent drawing 1WO2019150399A1, patent drawing 2
View record

Selected as the first record the search returns under the database default order, then shown in full. It is not ranked by citations, claim breadth or commercial importance, and it is not a judgement about which filing in this space matters most.

Source: Patsnap Eureka. The first record the search returned, shown in full. Derived from one Patsnap search for Multiple Sequence Alignment Scoring Algorithm Patent Landscape, covering all matching records regardless of filing date (the search string sets no date limit), retrieved 2026-10-27. Counts cover published records only and move as new filings publish.Run this in Eureka MCP
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Patterns in the data

What the figures show

Three figures from the dataset, reported without added interpretation.

Filer concentration
16 tied at 2 families
top family count

No single largest filer

16 filers, including The Broad Inst Inc, Hohai Univ, California Inst of Tech and President & Fellows of Harvard College, are each named on 2 of the 167 simple patent families, the highest count any single filer reaches in this set. 91 of the 91 listed filers hold 2 or fewer families each.

Filer rows overlap and are not summed for a combined share.
Technology split
46.7% of 167 families
G06F share

G06F carries the largest IPC share

G06F (electric digital data processing) is named on 78 of the 167 families in scope, 46.7%. G16B (bioinformatics) and G06N (AI-based computing) follow at 26.9% and 26.3% respectively. Because one family can carry several IPC classes, these three shares are not mutually exclusive.

Shares are read against the 167-family total, not against each other as a partition.
Legal status
69 of 295 records
granted and in force

23% of records are in force at retrieval

69 of the 295 published records (23%) were granted and still in force on the retrieval date of 2026-10-27. The remaining records are in other statuses that are not broken out individually on this page.

In-force status is a point-in-time legal snapshot, not a measure of claim strength.
Filing geography
81 records · China
largest receiving office

China and the US lead the receiving-office counts

Among 18 receiving offices returned for the 295 published records, China shows 81 and the United States 71, followed by WIPO (PCT) at 42, Europe (EPO) at 29, India at 23 and Australia at 18. These are filing locations for records, not nationalities of the filers behind them.

Receiving-office counts sum to the record total differently than this six-office excerpt; 18 offices were returned in all.
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Eureka can read the same corpus for gaps instead of for coverage: under-claimed branches adjacent to multiple sequence alignment scoring algorithm patent landscape, with the prior art for and against each one.

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Source: Patsnap Eureka. Derived observations on the same dataset. Derived from one Patsnap search for Multiple Sequence Alignment Scoring Algorithm Patent Landscape, covering all matching records regardless of filing date (the search string sets no date limit), retrieved 2026-10-27. Counts cover published records only and move as new filings publish.Run this in Eureka MCP
Next steps

Where to take this next

The figures above describe what the search returned. Narrower questions about specific filers or claim scope need a closer read.

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Track a specific filer's full portfolio

This page's filer table shows organisations, capped at the largest entries returned, and named individuals are excluded from it where they can be identified even though they remain in the totals. A full portfolio view needs a dedicated search per entity.

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Watch how the 2024–2026 window fills in

Recent filing years are still publishing and will rise as more records surface. Revisit the trend after the publication lag closes rather than reading today's shaded years as a plateau.

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Source: Patsnap Eureka. Suggested next steps. No new data: every figure named here is one of those above. Derived from one Patsnap search for Multiple Sequence Alignment Scoring Algorithm Patent Landscape, covering all matching records regardless of filing date (the search string sets no date limit), retrieved 2026-10-27. Counts cover published records only and move as new filings publish.Run this in Eureka MCP
FAQ

Questions practitioners ask about this landscape

Answers are grounded in the same dataset. Derived from one Patsnap search for Multiple Sequence Alignment Scoring Algorithm Patent Landscape, covering all matching records regardless of filing date (the search string sets no date limit), retrieved 2026-10-27. Counts cover published records only and move as new filings publish.Run this in Eureka MCP

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Go past this page: query the whole multiple sequence alignment scoring algorithm patent landscape corpus yourself, in your own scope.
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How this page was built, and what the numbers do and do not mean

Search. Every figure on this page comes from one Patsnap search, run once and not edited afterwards. This is the exact search string:

TAC:(("multiple sequence alignment" OR "sequence alignment") AND (algorithm OR heuristic) AND (scoring OR optimization))

Reading the field codes: TAC searches the title, abstract and claims of each record, not the full description. The search string sets no date limit, so the scope is every matching record in the database regardless of when it was filed. It is not restricted to recent years. How this string was built matters for how far the counts can be pushed. It was generated in batch from a topic list rather than hand-crafted for this page, and the result set is not manually screened. A keyword search over title, abstract and claims both over-captures (unrelated filings that happen to use the same words) and under-captures (the same invention written in different words). This page cannot measure either effect, so read every figure here as what this particular string returned, not as what exists in the field. No subclass carries much of this set: the most common one is on 46.7% of the patent families and the set spans 51 subclasses in all. That can mean the technology genuinely sits across several areas, or that the search string is also matching adjacent work that happens to use the same words. This page cannot separate the two, and the result set is not screened by hand.

What is being counted. Two different units appear on this page and they are not interchangeable. The filer list and the technology split are counted in simple (DOCDB) patent families: one invention counts once however many countries it was filed in. The total, the jurisdiction split and the filing-year chart are counted in published records: the same invention counts once per publication. For this search that is 295 records and 167 families. Record counts reward filing in many jurisdictions; family counts do not. Shares are only ever taken against a denominator in the same unit, and each one names it.

Who the filers are. Names come from Patsnap's standardised assignee field, as recorded on the documents themselves. They are not rolled up to corporate group: a parent and its subsidiaries appear as separate entries, and a portfolio acquired from another company stays under the name on the document unless the assignment is reflected there. This list is meant to carry organisations, not people. Filings held by a named individual are identified by matching the assignee against the inventors on the same search, and, for names written in Chinese, Japanese or Korean characters, by the name carrying no organisational suffix; those are removed from the list (9 of them here). Neither test is exhaustive: the inventor list it matches against is itself capped, and a personal name written in Latin script with no organisational wording in it cannot be told apart from a short company name by rule. So an individually held filing can still appear in the list. Those filings stay inside every total and share on this page either way, so the listed entries can add up to less than the total. A record shown in full further down still names its assignee exactly as the patent office records it, including where that is a person: that name is how the record is identified and checked. What is left out of the ranking is people as ranked entries, not people as cited sources. The table shows the top 30 of the 91 filers returned, ordered by count alone; the data endpoint returns at most 100 entities, so even that 91 is not every filer. One patent family can name several filers and each is counted separately, so these rows are not slices of a divided whole: adding them together over-counts, and this page deliberately publishes no combined "top five" share for that reason. See every filer, individuals included

Dates. The year chart counts by earliest filing year, not publication year. A filing only becomes visible once it publishes: roughly 18 months for most routes, and up to 30 months where a PCT application enters national phase. Measured across these pages, the year four back from today still holds only about 89% of its eventual count. 2022 onwards are therefore shaded on the chart as still filling in. The data behind this page was retrieved on 2026-10-27.

Legal status. "In force" counts documents whose legal status at retrieval was granted and maintained (69 of 295). Everything else is pending, withdrawn, refused, lapsed or not determinable, and those states are not broken out here because the underlying codes do not separate them cleanly. Legal status changes continuously and is reported per document, not per family. Get the status breakdown in Eureka

Classification. The technology split uses IPC subclasses (four characters, for example H01M). A single record usually carries several, so the shares add up to more than 100% and a record can appear in more than one bar. Subclass is a coarse grouping; it describes the field a record was classified into, not what the claims cover. Break the classes down to subgroup level

Who wrote the words. The tables, charts, counts, shares and patent numbers on this page are produced directly from the search result by a program; none of them are written or estimated by a language model. The surrounding prose, headings, FAQ answers and the answers in the question panel are drafted by a language model that is given those same figures and is not permitted to introduce others. Prose can still mis-describe a correct figure, so where the two disagree, the tables and charts are the record.

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 limitations that apply to every figure above. Recent filings are under-counted, because an application is not public until roughly 18 months after filing and database loading adds further delay. The search string defines and constrains everything shown: records that use different terminology, or that sit outside the fields searched, are absent and cannot be counted. Applicant names, classification codes, legal-status codes and citation records are taken as recorded and may contain errors, duplicates, omissions or stale entries. Ordering by volume is not a measure of quality, scope, enforceability or commercial value, and a larger portfolio is not a stronger one. 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, validity or infringement search, nor does it constitute legal, financial, investment, or professional advice, and it should not be relied upon as such. No attorney-client relationship is created by it. Any patent, commercial, or strategic decision should be verified independently against the primary records 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.

The question panel. The answers behind the suggested questions on this page were written when the page was generated, not in response to your click. The progress steps that play before an answer appears are an animation of how that analysis was done; nothing is being searched or computed at that moment. Typing your own question instead opens Patsnap Eureka, which does run it live.

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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