Improved Search Efficiency
Advanced algorithms and a centralized portal reduced the time researchers spent finding and analyzing patent sequences.
Technologies used
Ruby
PostgreSQL
JavaScript
Solr
Motivation
Researchers and IP experts struggled with fragmented, incomplete, and slow access to patent sequence data, often needing to query multiple databases manually, which caused delays, inefficiencies, and missed insights. The goal was to create a centralized, comprehensive, and user-friendly genetic analysis portal that enables fast and accurate searches, simplifies data filtering and reporting, and ensures same-day access to the latest published sequences, directly addressing researchers’ pain points and accelerating scientific and IP workflows.
Main challenges
Challenge 01
Incomplete Search Results
Intellectual property experts state that about 80% of the information published in a patent document is not available anywhere else, and workflows often led to incomplete or overwhelming search results. Azati addressed this by developing a centralized, comprehensive database that integrates various patent sequences, ensuring thorough and accurate search results.
#1
Challenge 02
Inefficient Data Analysis
The time taken for results analysis inhibited the IP sequence search process, and the overwhelming volume of results slowed down the ability to sift through data efficiently. Azati streamlined this process by implementing advanced search algorithms and filtering tools, drastically reducing analysis time and improving efficiency.
#2
Challenge 03
Disparate and Expensive Resources
Multiple databases had to be accessed, creating slow, inefficient, and expensive workflows for researchers and experts, with difficulties in sharing and reporting results. We solved this by consolidating data into a single, user-friendly portal, offering easy access to relevant information and advanced reporting capabilities.
#3
Our approach
Centralized Data Access
Developed the SequenceBase IP Research Portal, providing a single access point to genetic sequences from published applications and patents dating back to 1982, including organism names, sequence length, modification tables, and bibliographic data.
Comprehensive Search Tools
Integrated multiple search algorithms, including BLAST, Smith-Waterman, Multiple Sequence Search, and MOTIF, to enable flexible, accurate, and thorough sequence searches across patents and applications.
Cloud and Big Data Solutions
Implemented cloud-based distributed processing and scaling technologies to handle growing data volumes, ensure fast performance, and provide same-day data delivery to users.
Data Updates and Speed
Automated daily updates and leveraged a big data strategy to provide rapid access to the latest sequences, ensuring researchers always have the most current and relevant information.
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01
Patent Sequence Database
A comprehensive database that contains sequences from patent documents, including related information such as organism names, sequence lengths, and modification tables. Supports full bibliographic data, including inventor names, assignees, and publication numbers.
Key capabilities:
- Centralized access to all published patent sequences
- Detailed metadata for each sequence
- Cross-referencing with applications, WIPO/PCT numbers, and dates
- Supports both DNA and protein sequences
02
Advanced Search Algorithms
Enables researchers to perform precise and comprehensive sequence searches using algorithms like BLAST, Smith-Waterman, Multiple Sequence Search, and MOTIF. Facilitates both exact and similarity-based searches across large datasets.
Key capabilities:
- Flexible search by exact or similar sequences
- Supports multiple search algorithms
- Handles large-scale queries efficiently
- Improves accuracy and completeness of search results
03
Data Filtering and Reporting
Provides advanced filtering and reporting tools to allow users to narrow down search results, analyze patterns, generate reports, and export data for further research or patent evaluation.
Key capabilities:
- Extensive filtering by organism, sequence length, or publication
- Custom report generation and data export
- Facilitates decision-making for patentability and FTO research
- Simplifies sharing results among teams
04
Cloud-Based Infrastructure
Leverages cloud technologies for scalability, fast data processing, and high availability. Ensures the portal can handle large and growing datasets while providing a smooth and responsive user experience.
Key capabilities:
- High scalability to accommodate growing sequence data
- Fast data processing for immediate results
- Reliable and secure cloud hosting
- Ensures consistent performance for all users
Results & business impact
Faster Data Delivery
Cloud-based infrastructure and big data strategy enabled same-day updates, improving research timeliness and workflow efficiency.
Enhanced Research Capabilities
Scientists gained reliable, comprehensive, and accessible IP sequence data, supporting more accurate patentability analysis and bioinformatics research.
