Open AccessLibra: scalable k-mer–based tool for massive all-vs-all metagenome comparisons
Author(s) -
Illyoung Choi,
Alise J. Ponsero,
Matthew Bomhoff,
Ken YouensClark,
John H. Hartman,
Bonnie L. Hurwitz
Publication year - 2018
Publication title -
gigascience
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 2.947
H-Index - 54
ISSN - 2047-217X
DOI - 10.1093/gigascience/giy165
Subject(s) - metagenomics , computational biology , computer science , bioinformatics , biology , genetics , gene
Shotgun metagenomics provides powerful insights into microbial community biodiversity and function. Yet, inferences from metagenomic studies are often limited by dataset size and complexity and are restricted by the availability and completeness of existing databases. De novo comparative metagenomics enables the comparison of metagenomes based on their total genetic content.
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