Data · dataset · 2014
2014 Env Microbiol, Supplementary Tables (S1-S9)
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# Table_S1.pdf Composition of an artificial ‘local’ dataset of broad ecological range (BER).
Description
A total of 53,999 16S sequences from 18 studies were selected to generate the dataset; additional information, and detailed references are provided in the table. # Table_S2.xlsx Total OTU counts per method when clustering a global dataset of 887,870 16S sequences. OTU counts are given per method for different thresholds.
For UPARSE, the respective number of clustered sequences that mapped to the UCHIME-filtered dataset is also provided (as UPARSE implements differential on-the-fly chimera filtering, removing different sets of sequences at different clustering thresholds). # Table_S3.xlsx Table S3. Estimates of α- and β-diversity when clustering the HSM dataset to 97% sequence similarity according to different methods. The table provides raw data of diversity estimates across 21 skin samples for every method.
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Moreover, trends between methods (Pearson correlation of diversity estimates), absolute shifts (as binary log-ratio) and shift significance (as p-values in one-sided Mann-Whitney-U tests) are also provided for every index. Finally, an overview of the HSM dataset (sequence counts and internal sequence similarities per habitat), as well as pairwise partition similarities between methods at 97% clustering are also provided. # Table_S4.xlsx Adjusted Mutual Information (AMI) between methods across thresholds when clustering the HSM dataset.
Values as shown in Figure S1. # Table_S5.xlsx Normalized Mutual Information (NMI) between methods across thresholds when clustering the HSM dataset. Values as shown in Figure S2. # Table_S6.xlsx Adjusted Rand Index (ARI) between methods across thresholds when clustering the HSM dataset. Values as shown in Figure S3. # Table_S7.xlsx Adjusted Mutual Information (AMI) between methods across thresholds when clustering the global dataset of 887,870 16S sequences.
Values as shown in Figure 4 in the main text. Missing values for AL at thresholds <92% and UCLUST / UPARSE >99% as clustering to these thresholds was prohibited by memory requirements (see Text S1). # Table_S8.xlsx Normalized Mutual Information (NMI) between methods across thresholds when clustering the global dataset of 887,870 16S sequences. Values as shown in Figure S4.
Missing values for AL at thresholds <92% and UCLUST / UPARSE >99% as clustering to these thresholds was prohibited by memory requirements (see Text S1). # Table_S9.xlsx Adjusted Rand Index (ARI) between methods across thresholds when clustering the global dataset of 887,870 16S sequences. Values as shown in Figure S5. Missing values for AL at thresholds <92% and UCLUST / UPARSE >99% as clustering to these thresholds was prohibited by memory requirements (see Text S1).
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- Repository landing page figshare.com/articles/dataset/2014_Env_Microbiol_Supplementary_Tables_S1_S9… ↗
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- DOI doi.org/10.6084/m9.figshare.1219369 ↗
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Topics
- Stated by source
- Biological sciences · Computer and information sciences
- From keywords
- Bioinformatics and computational biology · Evolutionary biology · Microbiology
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