QIIME software V1.9.1 MiSeq was used to analyze sequencing data [25 (link)], including forward and reverse reads joining, chimera removal, data filtering and taxonomic annotation. To remove chimeric sequences from the reads, the Usearch 6.1 algorithm was used [26 (link)]. Moreover, based on a 97% identity threshold value, reads were clustered into operational taxonomic units (OTUs). PyNAST was used for the alignment of the sequences with reference to the Greengenes core reference database (version 13_8) [27 (link)]. For taxonomic assignment, the UCLUST classifier was used [28 (link)]. The data were expressed as relative abundance.
Illumina Sequencing Data Analysis Pipeline
QIIME software V1.9.1 MiSeq was used to analyze sequencing data [25 (link)], including forward and reverse reads joining, chimera removal, data filtering and taxonomic annotation. To remove chimeric sequences from the reads, the Usearch 6.1 algorithm was used [26 (link)]. Moreover, based on a 97% identity threshold value, reads were clustered into operational taxonomic units (OTUs). PyNAST was used for the alignment of the sequences with reference to the Greengenes core reference database (version 13_8) [27 (link)]. For taxonomic assignment, the UCLUST classifier was used [28 (link)]. The data were expressed as relative abundance.
Corresponding Organization : Instituto de Salud Carlos III
Other organizations : Instituto de Investigación Sanitaria La Fe, Universitat de València
Variable analysis
- None explicitly mentioned
- Relative abundance of operational taxonomic units (OTUs)
- None explicitly mentioned
- Positive control: None mentioned
- Negative control: None mentioned
Annotations
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