‘SRS’ R Package and ‘q2-srs’ QIIME 2 Plugin: Normalization of Microbiome Data Using Scaling with Ranked Subsampling (SRS)

‘SRS’ R Package and ‘q2-srs’ QIIME 2 Plugin: Normalization of Microbiome Data Using Scaling with Ranked Subsampling (SRS)

Several ecological data types, especially microbiome count data, are commonly sample-wise normalized before analysis to correct for sampling bias and other technical artifacts. Recently, we developed an algorithm for the normalization of ecological count data called ‘scaling with ranked subsampling...

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Bibliographic Details
Main Authors: Vitor Heidrich, Petr Karlovsky, Lukas Beule
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Applied Sciences
Subjects:
scaling with ranked subsampling (SRS)
R package
QIIME 2 plugin
microbial ecology
microbiome analysis
bioinformatics
Online Access:https://www.mdpi.com/2076-3417/11/23/11473

Internet

https://www.mdpi.com/2076-3417/11/23/11473

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