id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
ht24wh26g2p	Jeffrey Robert Spies	Local sequence alignment as a method to detect temporal patterns in behavioral data	2007		.txt	text/plain	169	7	38	This project will describe methods of local sequence alignment as they existin the biological sciences and propose and implement analogous methods for use with temporal data. They developed local sequence alignment as a means to discovernontrivial patterns of similarity in long sequences of DNA and protein, each comprised of elements from an alphabetof size four and twenty respectively.	cache/ht24wh26g2p.txt	txt/ht24wh26g2p.txt