MutDR - A resource for protein mutation-disease relations assembled from biomedical literature

Ravikumar Komandur Elayavilli, Majid Rastegar-Mojarad, Hongfang Liu

Research output: Contribution to journalConference articlepeer-review

Abstract

Text mining approaches can accelerate the process of assembling knowledge from literature. In this abstract, we present our effort in assembling a resource for protein mutation-disease relations assembled from literature.

Original languageEnglish (US)
JournalCEUR Workshop Proceedings
Volume1747
StatePublished - 2016
Event2016 Joint International Conference on Biological Ontology and BioCreative - Food, Nutrition, Health and Environment for the 9 Billion, ICBO-BioCreative 2016 - Corvallis, United States
Duration: Aug 1 2016Aug 4 2016

Keywords

  • Literature mining
  • Protein mutation-disease

ASJC Scopus subject areas

  • General Computer Science

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