pGenN, a Gene Normalization Tool for Plant Genes and Proteins in Scientific Literature
| Author(s) | Ding, Ruoyao | |
| Author(s) | Arighi, Cecilia N. | |
| Author(s) | Lee, Jung-Youn | |
| Author(s) | Wu, Cathy H. | |
| Author(s) | Vijay-Shanker, K. | |
| Ordered Author | Ruoyao Ding, Cecilia N. Arighi, Jung-Youn Lee, Cathy H. Wu, K. Vijay-Shanker | |
| UD Author | Dina, Ruoyao | en_US |
| UD Author | Arighi, Cecilia N. | en_US |
| UD Author | Lee, Jung-Youn | en_US |
| UD Author | Wu, Cathy H. | en_US |
| UD Author | Vijay-Shanker, K. | en_US |
| Date Accessioned | 2015-11-19T20:19:36Z | |
| Date Available | 2015-11-19T20:19:36Z | |
| Copyright Date | Copyright ©2015 Ding et al. | en_US |
| Publication Date | 2015-08-10 | |
| Description | Final published version. | en_US |
| Abstract | BACKGROUND Automatically detecting gene/protein names in the literature and connecting them to databases records, also known as gene normalization, provides a means to structure the information buried in free-text literature. Gene normalization is critical for improving the coverage of annotation in the databases, and is an essential component of many text mining systems and database curation pipelines. METHODS In this manuscript, we describe a gene normalization system specifically tailored for plant species, called pGenN (pivot-based Gene Normalization). The system consists of three steps: dictionary-based gene mention detection, species assignment, and intra species normalization. We have developed new heuristics to improve each of these phases. RESULTS We evaluated the performance of pGenN on an in-house expertly annotated corpus consisting of 104 plant relevant abstracts. Our system achieved an F-value of 88.9%(Precision 90.9% and Recall 87.2%) on this corpus, outperforming state-of-art systems presented in BioCreative III. We have processed over 440,000 plant-related Medline abstracts using pGenN. The gene normalization results are stored in a local database for direct query from the pGenN web interface (proteininformationresource.org/pgenn/). The annotated literature corpus is also publicly available through the PIR text mining portal (proteininformationresource. org/iprolink/). | en_US |
| Department | University of Delaware. Department of Computer and Information Sciences. | en_US |
| Department | University of Delaware. Center for Bioinformatics & Computational Biology. | en_US |
| Department | University of Delaware. Department of Plant and Soil Sciences. | en_US |
| Citation | Ding R, Arighi CN, Lee J-Y, Wu CH, Vijay- Shanker K (2015) pGenN, a Gene Normalization Tool for Plant Genes and Proteins in Scientific Literature. PLoS ONE 10(8): e0135305. doi:10.1371/journal. pone.0135305 | en_US |
| DOI | 10.1371/journal. pone.0135305 | en_US |
| ISSN | 1932-6203 | en_US |
| URL | http://udspace.udel.edu/handle/19716/17237 | |
| Language | en_US | en_US |
| Publisher | Public Library of Science | en_US |
| dc.rights | Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. | en_US |
| dc.rights | Article is made available in accordance with the University of Delaware Faculty Policy on Open Access and the publisher's policy. | en_US |
| dc.source | PLoS one | en_US |
| dc.source.uri | http://www.plosone.org/ | en_US |
| Title | pGenN, a Gene Normalization Tool for Plant Genes and Proteins in Scientific Literature | en_US |
| Type | Article | en_US |