ENGLISH
KOREAN3X-TMiner
Literature Text-Mining Platform
Text mining more than 30 million scientific literature to link genes, diseases, drugs, and clinical trial information
About 30 million papers from NCBI Pubmed and other patent database applied NLP techniques to build a platform for identifying research
trends as well as related drugs, diseases, genes, and genetic variations.
Introduction
NCBI PubMed stands as the largest repository of scientific literature globally, housing an expansive collection of over 30 million records, with this database expanding exponentially each year. The significance of this comprehensive resource transcends its immense size; it holds the potential to offer substantial insights gleaned from the wealth of published literature. As researchers delve into this extensive dataset, they have the opportunity to extract valuable information, identify trends, and gain deeper understandings across a wide spectrum of scientific disciplines. This platform not only aids in fostering collaboration and sharing knowledge but also empowers the scientific community to make informed decisions, formulate hypotheses, and drive groundbreaking discoveries. By tapping into NCBI PubMed’s vast repository, researchers stand to unlock a plethora of untapped knowledge that can steer advancements, refine research directions, and ultimately contribute to the collective evolution of scientific understanding.
Challenges
NCBI PubMed stands as the largest repository of scientific literature globally, housing an expansive collection of over 30 million records, with this database expanding exponentially each year. The significance of this comprehensive resource transcends its immense size; it holds the potential to offer substantial insights gleaned from the wealth of published literature.
As researchers delve into this extensive dataset, they have the opportunity to extract valuable information, identify trends, and gain deeper understandings across a wide spectrum of scientific disciplines. This platform not only aids in fostering collaboration and sharing knowledge but also empowers the scientific community to make informed decisions, formulate hypotheses, and drive groundbreaking discoveries.
By tapping into NCBI PubMed’s vast repository, researchers stand to unlock a plethora of untapped knowledge that can steer advancements, refine research directions, and ultimately contribute to the collective evolution of scientific understanding.
Solutions
3BIGS has ingeniously devised a solution to address the challenge of efficiently managing and updating the vast NCBI PubMed database. Their solution involves locally storing the database and ensuring its continuous refresh to provide researchers with real-time, up-to-date information. Once the local repository is established, 3BIGS integrates cutting-edge Natural Language Processing (NLP) programs to meticulously process abstracts. This entails extracting essential components such as genes, diseases, chemical compounds, and referenced SNPs, capitalizing on the power of NLP to glean valuable insights.
To maintain data integrity, the extracted information undergoes a two-tier refinement process. First, an internal quality control mechanism is employed to weed out potential errors and inconsistencies. Subsequently, a diligent human curation step is executed to ensure the utmost accuracy and precision. This rigorous approach guarantees that the derived data achieves the highest level of quality and reliability, rendering it an invaluable resource for researchers. By seamlessly merging technological innovation, NLP proficiency, and meticulous curation, 3BIGS has engineered a comprehensive solution that empowers researchers with current, accurate, and robust information from the NCBI PubMed database.
3X-Tminer differentiation
It integrates and structures various information such as biological information, clinical trials, drug information, investments, and papers, rather than text mining for general scientific papers, to differentiate itself from 3X-TMiner
Papers and Biotech info
- Information of referenced papers
- Identify experts on specific topics
- Interpretation of Experimental Results
- New Biological Discovery
Clinical Trials Info
- Clinical decision support
- Diagnostic resource information
- Recent clinical Trends
Drug and Patient Info
- Drug Discovery
- Select a target for a drug
- Side effects and management of drugs
Research Network
- Research trends in the field of interest
- Pharmaceutical company or corporate research trends
Typical Text Mining Platform
3X-Tminer Differentiation
Apply Text mining Technology
Text mining using Natural Language Processing (NLP) techniques for various terminology such as genes, diseases, drugs, and
networks by importing the abstract contents of scientific books.
Structure and utilization of scientific data
Based on more than 30 million scientific literature, it structures genes, diseases, drugs, clinical information, and supports various
information to identify the flow of research.
