@conference {BT204,
	title = {BT204: CancerMine: Knowledge base construction for personalised cancer treatment},
	booktitle = {International Conference on Biomedical Ontology and BioCreative (ICBO BioCreative 2016)},
	series = {Proceedings of the Joint International Conference on Biological Ontology and BioCreative (2016)},
	year = {2016},
	month = {11/30/16},
	publisher = {CEUR-ws.org Volume 1747},
	organization = {CEUR-ws.org Volume 1747},
	abstract = {<p>Knowledge of the relevant genomic aberrations that drive a particular cancer type is necessary to accelerate efficient interpretation of genomic data and enable large-scale endeavors in precision medicine. Currently, this field is limited by the lack of focused and scalable literature curation tools that can reliably capture the required information. Here we present a knowledge-base of genes that have been described in the literature as drivers, oncogenes or tumour suppressors with respect to a specific type of cancer. We have annotated a large body of literature which reports oncogenic aberrations using a custom designed annotation tool. We then applied VERSE, an in-house relation extraction tool, to catalogue driver mutations and illustrate the ability to build a useful resource for clinical interpretation of genomic data for personalized treatment approaches.</p>
},
	url = {http://ceur-ws.org/Vol-1747/BT204_ICBO2016.pdf},
	author = {Jake Lever and Martin Jones and Steven Jm Jones}
}
