Prokaryote Protein Localization Relation Extraction (PPLRE) Project
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A Prokaryote Protein Localization Relation Extraction (PPLRE) Project was a research project to enhance PSORTdb with experimentally validated Prokaryote protein localizations from a PubMed snapshot.
- Context:
- It is managed by the SFU Database and Data Mining Lab, SFU Natural Language Lab, and the SFU Brinkman Lab.
- It developed an Information Extraction from Text System (PPLRE system).
- See: Complex Relation Extraction Task, PPLRE Data Examples.
Notes
- PPLRE Project Introduction
- PPLRE Domain Description
- PPLRE Research Topics
- PPLRE High-level Design
- PPLRE System Design
- PPLRE Data Design
- PPLRE Evaluation Task
- PPLRE Resources
- PPLRE Project Team and Milestones
- PPLRE Open Issues
- PPLRE References
References
2010
- (Yu et al., 2010) ⇒ Nancy Y. Yu, James R. Wagner, Matthew R. Laird, Gabor Melli, Sébastien Rey, Raymond Lo, Phuong Dao, S. Cenk Sahinalp, Martin Ester, Leonard J. Foster, and Fiona S. L. Brinkman. (2010). “PSORTb 3.0: Improved protein subcellular localization prediction with refined localization subcategories and predictive capabilities for all prokaryotes.” In: Bioinformatics, 26(13). doi:10.1093/bioinformatics/btq249
2007
- (Melli et al., 2007) ⇒ Gabor Melli, Martin Ester, and Anoop Sarkar. (2007). “Recognition of Multi-sentence n-ary Subcellular Localization Mentions in Biomedical Abstracts.” In: Proceedings of LBM-2007. (presentation)