Additional file 1: Table S1. of Large-scale benchmarking reveals false discoveries and count transformation sensitivity in 16S rRNA gene amplicon data analysis methods used in microbiome studies
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https://springernature.figshare.com/articles/dataset/Additional_file_1_Table_S1_of_Large-scale_benchmarking_reveals_false_discoveries_and_count_transformation_sensitivity_in_16S_rRNA_gene_amplicon_data_analysis_methods_used_in_microbiome_studies/4367192
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Overview of the datasets used in the study. Sampling and data characteristics of the seven datasets used in the study, A1â A4 for the false positive rate and spike-in retrieval tests and B1â B3 for the beta-diversity optimization tests. (XLSX 5 kb)
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Figshare
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2016-12-14
