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Sensitive protein alignments at tree-of-life scale using DIAMOND

Nature Methods · 2021 · Vol. 18(4) · pp. 366–368
Benjamin BuchfinkKlaus ReuterHajk‐Georg Drost

Abstract

We are at the beginning of a genomic revolution in which all known species are planned to be sequenced. Accessing such data for comparative analyses is crucial in this new age of data-driven biology. Here, we introduce an improved version of DIAMOND that greatly exceeds previous search performances and harnesses supercomputing to perform tree-of-life scale protein alignments in hours, while matching the sensitivity of the gold standard BLASTP.

Genomics and Phylogenetic StudiesMachine Learning in BioinformaticsRNA and protein synthesis mechanismsTree of life (biology)DiamondTree (set theory)Computer scienceMatching (statistics)Scale (ratio)Computational biologySensitivity (control systems)BiologyData mining

MeSH terms

AlgorithmsProteinsSequence AlignmentComputational Biology

Funding

  • Max-Planck-Gesellschaft
Citations
4,573
FWCI
225.26
field-weighted impact
References
34
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100%
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Citations per year
References
Fast and sensitive protein alignment using DIAMOND
Nature Methods · 2014 · 14,618 citations
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Bioinformatics · 2010 · 21,473 citations
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Genome Research · 2011 · 1,431 citations
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Bioinformatics · 2018 · 16,068 citations
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