Name | Modified | Size | Downloads / Week |
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Readme.txt | 2014-03-28 | 1.7 kB | |
PathNER.tar.gz | 2013-11-07 | 142.3 MB | |
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The lastest update on this project can be found on https://github.com/chengkun-wu/PathNER ========================== Introduction: PathNer is a tool for mining biological pathway mentions from biomedical literature. It's implemented under the GATE framework, including two major components: rule-based detection and dictionary matching. The rules are implemented using JAPE and the dictionary matching is based on a Java toolkit SecondString. It also utilises information from BANNER, a gene/protein name recognition tool. You can use the code in your own pipeline or you can run the executable jar file 'PathNer.jar' directly through commandline. If you use PathNER, please cite the following paper: Wu C, Schwartz JM, Nenadic G: PathNER: A tool for systematic identification of biological pathway mentions in the literature, BMC Systems Biology (InCoB 2013 Supplement), 2013 If you have any problem with PathNER or you have suggestions and comments, please contact me via chengkun.wu@manchester.ac.uk. Suggestions and comments are welcome. =====Usage: ============================================ You can run the PathNer jar file directly to have a test. Examples: 1. See the results on a test str (preset) java -jar PathNer.jar 2. See the results on gold corpus java -jar PathNer.jar --test gold 3. See the results on a test file java -jar PathNer.jar --test test 4. See the results on your file java -jar PathNer.jar --test YOUR_FILE If you want to process a large file, you might need to add Java Virtual Machine parameters. For instance, java -Xmx4G -jar PathNer.jar --test YOUR_FILE