title: Sediment metagenome in alluvial aquifer of Budai- S5 anaerobic
design: We preprocessed raw reads via splitting reads by MID and removing barcode sequences using SFF tools (v2.7). Using Mothur (v.1.28.0), identical reads were collapsed into one unique read with the read count recorded. Unique reads were aligned to SILVA database provided by Mothur. OTUs were identified based on 97% sequence similarity. We used 16S rRNA as the training model and output the results in fixrank format. RDPClassifier assigned each OTU to a taxonomy with a confidence score. We considered the assigned taxonomy as reliable if the score was at least 0.8.