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. 2024 Nov 22;27(12):111442. doi: 10.1016/j.isci.2024.111442
REAGENT or RESOURCE SOURCE IDENTIFIER
Critical commercial assays

DNeasy PowerSoil Pro Kit QIAGEN 47014

Oligonucleotides

16S rRNA forward primer CCTACGGGNGGCWGCAG 341F
16S rRNA reverse primer GACTACHVGGGTATCTAATCC 805R

Deposited data

16S amplicon data (Korea) This study BioProject: PRJNA917086
16S amplicon data (Brazil) Cortez et al.27 BioProject: PRJNA610934
16S amplicon data (Canada) Alipour et al.24 BioProject: PRJNA298762
16S amplicon data (China) Wang et al.22 CRA005251
16S amplicon data (Czech) Hurych et al.31 BioProject: PRJNA958468
16S amplicon data (Israel) Turner et al.53 BioProject: PRJNA532645
16S amplicon data (UK) Ijaz et al.52 BioProject: PRJEB18780
16S amplicon data (UK) Douglas et al.21 BioProject: PRJEB21933
16S amplicon data (USA) Gevers et al.28 BioProject: PRJNA237362 BioProject: PRJNA205152
16S amplicon data (USA) Nusbaum et al.16 BioProject: PRJNA438164
16S amplicon data (USA) Zuo et al.23 BioProject: PRJNA759642
16S amplicon data (USA/Canada) Schirmer et al.25 BioProject: PRJNA436359

Software and algorithms

fastp https://github.com/OpenGene/fastp 0.21.0
Usearch http://www.drive5.com/usearch/ 11.0.667
Vsearch https://github.com/torognes/vsearch 2.21.1
MMseqs2 https://github.com/soedinglab/MMseqs2 15-6f452
Phyloseq https://joey711.github.io/phyloseq/ 1.22.3
MMUPHin https://github.com/biobakery/MMUPHin 1.19.1
Scikit-learn https://scikit-learn.org/ 1.2.0
Keras https://keras.io/ 2.11.0
Python https://www.python.org/ 3.10.4
scikeras https://github.com/adriangb/scikeras 0.10.0
SHAP https://github.com/shap/shap 0.41.0
Vegan https://github.com/vegandevs/vegan 2.6.6
metafor https://wviechtb.github.io/metafor/ 4.6–0
ALDEx2 https://github.com/ggloor/ALDEx_bioc 1.38.0
ANCOM-BC https://github.com/FrederickHuangLin/ANCOMBC 2.8.0