10.1128/mSystems.00163-18 | Papers

Papers: 10.1128/mSystems.00163-18

Performance of Microbiome Sequence Inference Methods in Environments with Varying Biomass

Cited by: 90
Author(s): Vincent Caruso, Xubo Song, Mark Asquith, Lisa Karstens
Published: over 6 years ago

Accurate, high-resolution sample inference from amplicon sequencing data
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Fast Adaptive Shrinkage/Thresholding Algorithm
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Mediation by Tilted Balancing
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The fasta python package enables you to deal with biological sequence files easily.
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