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Assign reads and otus to samples:

Assign Reads:

Code Block
/project/microbiome/data_queue/seq/LRII_LocAd2_3_16_22/rawdata

salloc --account=microbiome -t 0-06:00

mkdir -p /gscratch/grandol1/LRII_LocAd2_3_16_22/rawdata

cd /gscratch/grandol1/LRII_LocAd2_3_16_22/rawdata

unpigz --to-stdout /project/microbiome/data_queue/seq/LRII_LocAd2_3_16_22/rawdata/LRII-5-RMJan22_S1_L001_R1_001.fastq.gz | split -l 1000000 -d --suffix-length=3 --additional-suffix=.fastq - LRII_LocAd2_3_16_22_R1_ ;unpigz --to-stdout /project/microbiome/data_queue/seq/LRII_LocAd2_3_16_22/rawdata/LRII-5-RMJan22_S1_L001_R2_001.fastq.gz | split -l 1000000 -d --suffix-length=3 --additional-suffix=.fastq - LRII_LocAd2_3_16_22_R2_

//project/microbiome/data_queue/seq/LRII_LocAd2_3_16_22/rawdata/run_parse_count_onSplitInput.pl

cd /project/microbiome/data_queue/seq/LRII_LocAd2_3_16_22/rawdata

./run_splitFastq_fwd.sh

./run_splitFastq_rev.sh

cd /project/microbiome/data_queue/seq/LRII_LocAd2_3_16_22/rawdata

./run_aggregate.sh

Process through to otus:

Code Block
salloc --account=microbiome -t 0-06:00
cd /project/microbiome/data_queue/seq/LRII_LocAd2_3_16_22/tfmergedreads

./run_slurm_mergereads.pl

cd /project/microbiome/data_queue/seq/LRII_LocAd2_3_16_22/otu

./run_slurm_mkotu.pl

Exploration of Data created so far:

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Returns: 25644064 total

Divided by 8: 3205508 assigned to samples.

Assigned/Total (*100) = percent assigned: ~76%

...

Same as the parsed read count above.

cd /project/microbiome/data_queue/seq/loc_ad2/tfmergedreads

./run_slurm_mergereads.pl

cd /project/microbiome/data_queue/seq/LowReadII/otu

./run_slurm_mkotu.pl

Assign taxonomy

Code Block
salloc --account=microbiome -t 0-02:00 --mem=500G

module load swset/2018.05  gcc/7.3.0

module load vsearch/2.15.1

vsearch --sintax zotus.fa --db /project/microbiome/users/grandol1/ref_db/gg_16s_13.5.fa -tabbedout LRII.sintax -sintax_cutoff 0.8

Output:

Reading file /project/microbiome/users/grandol1/ref_db/gg_16s_13.5.fa 100%  

1769520677 nt in 1262986 seqs, min 1111, max 2368, avg 1401

Counting k-mers 100% 

Creating k-mer index 100% 

Classifying sequences 100%   

Classified 4038 of 4042 sequences (99.90%)

Convert into useful form:

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