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Status (28 April 02 May 2022)
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Demultiplexing and splitting
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The work is done by run_parse_count_onSplitInput.pl. As the name implies, we split the raw data into many files (240492), so that the parsing can be done in parallel by many nodes. The approximate string matching that we are doing requires ~140 hours of CPU time, so we are splitting the task across many jobs. By doing so, the parsing takes less than one hour.
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NS5_Demux.csv is used to map MIDS to sample names and projects.
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Splitting to fastq for individuals
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In /project/microbiome/data_queue/seq/psomagen_6mar20NS5/coligoISD, /project/microbiome/data/seq/psomagen_26may20NS5/coligoISD, and /project/microbiome/data/seq/psomagen_29jan21novaseq1cNS5/coligoISD, there are 16S and ITS directories for all projects. These contain a file named coligoISDtable.txt with counts of the coligos and the ISD found in the trimmed forward reads, per sample. The file run_slurm_mkcoligoISDtable.pl has the code that passes over all of the projects and uses vsearch for making the table.