HistoNer: Histone modification extraction from text
نویسندگان
چکیده
Systematic recognition of histone modifications in text is an important task to cope with the fast increase of biomedical literature. The high variability of phrases to express histone modifications renders keyword based search as insufficient for information retrieval. We present HistoNer, a rule based system for the recognition of histone modifications from text. Patterns are collected semi-automatically and manually corrected. With 305 distinct patterns the system achieves an F1 measure of 93.6 % on an unseen test set of 1,000 annotated documents. HistoNer is licensed under GNU General Public License Version 3 and available at http://code.google.com/p/ histoner/. The repository contains corpora, evaluation scripts, and intermediate files generated during pattern development.
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