id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_mhhvvbsh2vawzcijtr33odztki	Justin Bedo	Information theoretic alignment free variant calling	2016	16	.pdf	application/pdf	6307	631	60	While traditional methods for calling variants across whole genome sequence data rely free variant calling method based on information theoretic principles designed to detect We found that our variants are highly informative for supervised learning tasks with performance similar to standard reference based Our method uses the context surrounding a particular nucleotide to define variants. dataset using a known reference sequence revealed variants associated with boxB repeat Our variant calling method comprises two steps: modelling the probability that a base provides a mechanism to call variants in a sample given a set of contexts, and the latter interested in finding contexts which define variants that differ amongst samples and are not Figure 5 First two principal components derived from alignment-based SNP calls (A) and from variants detected by our method (B) applied to the Massachusetts S. map the variant and its context back to a given reference.	./cache/work_mhhvvbsh2vawzcijtr33odztki.pdf	./txt/work_mhhvvbsh2vawzcijtr33odztki.txt