Additional file 3 of A framework for assessing 16S rRNA marker-gene survey data analysis methods using mixtures.

NIAID Data Ecosystem2026-03-11 收录

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https://figshare.com/articles/dataset/Additional_file_3_of_A_framework_for_assessing_16S_rRNA_marker-gene_survey_data_analysis_methods_using_mixtures_/11984529 数据链接链接失效反馈

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Additional file 3 Supplemental Table.

创建时间：

2020-03-13

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

微生物组数据分析方法

16SrRNA基因扩增子基准测试

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

Figshare2017-04-22 更新70

Development of an Analysis Pipeline Characterizing Multiple Hypervariable Regions of 16S rRNA Using Mock Samples

16SrRNA测序优化

微生物组数据分析方法

Objectives There is much speculation on which hypervariable region provides the highest bacterial specificity in 16S rRNA sequencing. The optimum solution to prevent bias and to obtain a comprehensive

NIAID Data Ecosystem60

Additional file 5: Figure S4. of Large-scale benchmarking reveals false discoveries and count transformation sensitivity in 16S rRNA gene amplicon data analysis methods used in microbiome studies

微生物组数据分析方法

差异丰度分析

A. Area under the curve distributions for additive spike-ins in dataset A1. Violin plot of distributions of area under the receiver operating characteristic curve (AUC) for spiked vs non-spiked p valu

Figshare2017-04-22 更新30

Additional file 3 of Whole microbial community viability is not quantitatively reflected by propidium monoazide sequencing approach

活菌检测

微生物组数据分析方法

Additional file 2. bioBakery workflows.

DataCite Commons2024-03-04 更新70

Additional file 8: Figure S7. of Large-scale benchmarking reveals false discoveries and count transformation sensitivity in 16S rRNA gene amplicon data analysis methods used in microbiome studies

微生物组数据分析方法

差异丰度分析方法性能评估

A. Area under the curve distributions for multiplicative spike-ins in dataset A4. Violin plot of distributions of area under the receiver operating characteristic curve (AUC) for spiked vs non-spiked

Figshare2017-04-22 更新30

Additional file 3 of A framework for assessing 16S rRNA marker-gene survey data analysis methods using mixtures.

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