KmerStream: streaming algorithms for k-mer abundance estimation.
Identifieur interne : 001C06 ( Main/Exploration ); précédent : 001C05; suivant : 001C07KmerStream: streaming algorithms for k-mer abundance estimation.
Auteurs : Páll Melsted [Islande] ; Bjarni V. Halld Rsson [Islande]Source :
- Bioinformatics (Oxford, England) [ 1367-4811 ] ; 2014.
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Abstract
Several applications in bioinformatics, such as genome assemblers and error corrections methods, rely on counting and keeping track of k-mers (substrings of length k). Histograms of k-mer frequencies can give valuable insight into the underlying distribution and indicate the error rate and genome size sampled in the sequencing experiment.
DOI: 10.1093/bioinformatics/btu713
PubMed: 25355787
Affiliations:
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