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OncoPubMiner: a platform for mining oncology publications
Quan Xu1, Yueyue Liu1,2, Jifang Hu1,3,4
1ChosenMed Technology (Beijing) Company Limited, Jinghai Industrial Park, Economic and Technological Development Area, Beijing 100176, China.
Briefings in Bioinformatics
|September 4, 2022
Summary
OncoPubMiner is a new platform for efficiently mining oncology publications. It helps researchers build knowledge bases for precision oncology decision-making.
Area of Science:
- Biomedical research
- Computational biology
- Oncology
Background:
- High-quality knowledge bases are crucial for biomedical research and clinical decision-making.
- The rapid growth in precision oncology publications necessitates efficient data mining tools.
Purpose of the Study:
- To introduce OncoPubMiner, a comprehensive platform for extracting knowledge from oncology literature.
- To facilitate the development of structured knowledge bases for precision oncology.
Main Methods:
- Integrated open-access PubMed abstracts and full-text articles from PubMed Central.
- Developed a system combining text mining, data customization, and publication search.
- Enabled project-centered and team-based data collection.
Main Results:
- OncoPubMiner provides a one-stop solution for oncology publication mining.
- The platform is updated daily, ensuring access to the latest information.
- It simplifies the process of obtaining precision oncology knowledge.
Conclusions:
- OncoPubMiner streamlines knowledge acquisition from scientific articles.
- The tool supports researchers in building structured knowledge bases.
- It advances the goals of precision oncology.
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