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Binning unassembled short reads based on k-mer abundance covariance using sparse coding
Author(s) -
Olexiy Kyrgyzov,
Vincent Prost,
Stéphane Gazut,
Bruno Farcy,
Thomas Brüls
Publication year - 2020
Publication title -
gigascience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.947
H-Index - 54
ISSN - 2047-217X
DOI - 10.1093/gigascience/giaa028
Subject(s) - genome , metagenomics , k mer , computer science , computational biology , sequence assembly , scalability , biology , genetics , transcriptome , gene , gene expression , database
Sequence-binning techniques enable the recovery of an increasing number of genomes from complex microbial metagenomes and typically require prior metagenome assembly, incurring the computational cost and drawbacks of the latter, e.g., biases against low-abundance genomes and inability to conveniently assemble multi-terabyte datasets.

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