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Gut microbiome of C57BL/6 mice exposed to forest and urban soil

Sequences, processing files, otu tables and metadata for the 16S SoilGut project. Sequence data was processed using QIIME 1.9.0 and downstream analyses were performed in R.

##Sequencing data Raw MiSeq sequencing data can be found in the 0_raw_reads folder.

##Library split Libraries were split using split_libraries_fastq.py script in QIIME 1.9.0

split_libraries_fastq.py -i 4Rds_R1_001.fastq -b combined_barcodes_fixedheaders.fastq -m vmf.txt --barcode_type 16 --store_demultiplexed_fastq -q 19 -o slout_R1_q20

##Chimera filtering Chimeras were identified with the identify_chimeric_seqs.py script (using USEARCH 6.1 and Greengenes 13_8), and removed with the filter_fasta.py script in QIIME 1.9.0

identify_chimeric_seqs.py -i seqs.fna -m usearch61 -o usearch_checked_chimeras/ -r 97_otus.fasta

filter_fasta.py -f seqs.fna -o seqs_chimeras61_filtered.fna -s usearch61_checked_chimeras/chimeras.txt -n 

##OTU picking Open-reference OTU picking was performed at 97% identity using Greengenes version 13_8, with usearch61 using the pick_open_reference_otus.py script in QIIME 1.9.0

pick_open_reference_otus.py -i seqs_chimeras61_filtered.fna -m usearch61 -o otus_chimerafiltered_usearch61_openref

##Filter out low depth sequences, filtering out low depth samples, with counts/sample lower than 943 using the filter_samples_from_otu_table.py script in QIIME 1.9.0

filter_samples_from_otu_table.py -i otu_table_mc2_w_tax_no_pynast_failures.biom -o otu_943cutoff.biom -n 943

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