Papers: 10.1186/s40168-016-0208-8
https://doi.org/10.1186/s40168-016-0208-8
Large-scale benchmarking reveals false discoveries and count transformation sensitivity in 16S rRNA gene amplicon data analysis methods used in microbiome studies
Cited by: 124
Author(s): Jonathan Thorsen, Asker Brejnrod, Martin Steen Mortensen, Morten Arendt Rasmussen, Jakob Stokholm, Waleed Abu Al‐Soud, Søren J. Sørensen, Hans Bisgaard, Johannes Waage
Published: over 8 years ago
Software Mentions 8
bioconductor: ALDEx2
Analysis Of Differential Abundance Taking Sample and Scale Variation Into AccountPapers that mentioned: 136
Very Likely Science (100)
bioconductor: baySeq
Empirical Bayesian analysis of patterns of differential expression in count dataPapers that mentioned: 139
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bioconductor: DESeq2
Differential gene expression analysis based on the negative binomial distributionPapers that mentioned: 9,583
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bioconductor: edgeR
Empirical Analysis of Digital Gene Expression Data in RPapers that mentioned: 6,568
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bioconductor: metagenomeSeq
Statistical analysis for sparse high-throughput sequencingPapers that mentioned: 169
Very Likely Science (100)
bioconductor: phyloseq
Handling and analysis of high-throughput microbiome census dataPapers that mentioned: 1,702
Very Likely Science (75)
cran: ggplot2
Create Elegant Data Visualisations Using the Grammar of GraphicsPapers that mentioned: 11,441
Very Likely Science (100)
Very Likely Science (95)