ntStat: k-mer characterization using occurrence statistics in raw sequencing data.

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Bibliographic Details
Title: ntStat: k-mer characterization using occurrence statistics in raw sequencing data.
Authors: Kazemi P; BC Cancer Research Institute, Vancouver, Canada.; Bioinformatics Graduate Program, Faculty of Science, University of British Columbia, Vancouver, Canada., Coombe L; BC Cancer Research Institute, Vancouver, Canada., Warren RL; BC Cancer Research Institute, Vancouver, Canada., Birol I; BC Cancer Research Institute, Vancouver, Canada.; Department of Medical Genetics, University of British Columbia, Vancouver, Canada.
Source: PLoS computational biology [PLoS Comput Biol] 2026 Apr 01; Vol. 22 (4), pp. e1014158. Date of Electronic Publication: 2026 Apr 01 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: eCollection Cited Medium: Internet ISSN: 1553-7358 (Electronic) Linking ISSN: 1553734X NLM ISO Abbreviation: PLoS Comput Biol Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1553-7358
DOI:10.1371/journal.pcbi.1014158