@article { ISI:000300490500018,
	title = {Clare: cracking the language of regulatory elements},
	journal = {Bioinformatics},
	volume = {28},
	number = {4},
	year = {2012},
	month = {FEB},
	pages = {581-583},
	publisher = {OXFORD UNIV PRESS},
	address = {GREAT CLARENDON ST, OXFORD OX2 6DP, ENGLAND},
	abstract = {<p>CLARE is a computational method designed to reveal sequence encryption of tissue- specific regulatory elements. Starting with a set of regulatory elements known to be active in a particular tissue/process, it learns the sequence code of the input set and builds a predictive model from features specific to those elements. The resulting model can then be applied to user-supplied genomic regions to identify novel candidate regulatory elements. CLARE{\textquoteright}s model also provides a detailed analysis of transcription factors that most likely bind to the elements, making it an invaluable tool for understanding mechanisms of tissue- specific gene regulation.</p>},
	issn = {1367-4803},
	doi = {10.1093/bioinformatics/btr704},
	author = {Taher, Leila and Narlikar, Leelavati and Ovcharenko, Ivan}
}
