These are not the k-mers you are looking for: efficient online k-mer counting using a probabilistic data structure.

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Bibliographic Details
Title:	These are not the k-mers you are looking for: efficient online k-mer counting using a probabilistic data structure.
Authors:	Zhang Q; Department of Computer Science and Engineering, Michigan State University, East Lansing, Michigan, United States of America., Pell J; Department of Computer Science and Engineering, Michigan State University, East Lansing, Michigan, United States of America., Canino-Koning R; Department of Computer Science and Engineering, Michigan State University, East Lansing, Michigan, United States of America., Howe AC; Department of Microbiology and Molecular Genetics, Michigan State University, East Lansing, Michigan, United States of America; Department of Plant, Soil, and Microbial Sciences, Michigan State University, East Lansing, Michigan, United States of America., Brown CT; Department of Computer Science and Engineering, Michigan State University, East Lansing, Michigan, United States of America; Department of Microbiology and Molecular Genetics, Michigan State University, East Lansing, Michigan, United States of America.
Source:	PloS one [PLoS One] 2014 Jul 25; Vol. 9 (7), pp. e101271. Date of Electronic Publication: 2014 Jul 25 (Print Publication: 2014).
Publication Type:	Journal Article; Research Support, N.I.H., Extramural; Research Support, U.S. Gov't, Non-P.H.S.
Journal Info:	Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE
Database:	MEDLINE Ultimate

Description
ISSN:	1932-6203
DOI:	10.1371/journal.pone.0101271