GOM Illumina and Yatsunenko rRNA analyses

Kicked off some more analyses this morning on the cloud. First off is the GOM Illumina data – forward reads give me about a 6GB file, so running the core analyses on a cloud server with 32GB memory:

core_qiime_analyses.py -i /home/ubuntu/data_GOM/GOM_illumina_demultiplex
ed_fwd_concat_1to12_1 -o /home/ubuntu/uclust_99_GOMillumina_fwd_1to12_1 -m /home/ubuntu/QIIMEmappin
gfile_GOM_Illumina_fakebarcodes.txt –suppress_split_libraries -p /home/ubuntu/qiime_parameters_GOM
.txt

Transferred the Yatsunenko 16S amplicon data over to a High-Memory Instance (transfer speeds are FAST! <20 mins for a 40GB file) – 68GB memory on this one. Using the same core_qiime_analyses command as yesterday (w/greengenes tree).

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