Status (9 February 2021)
Alex Buerkle is processing the data and will document here.
Demultiplexing and splitting
Demultiplexing
The raw sequence data are in /project/microbiome/data/seq/gtl_tests/iSeq100Pilot1_brew_30nov20/rawdata
.
I uncompressed the forward and reverse read files with
unpigz
on an interactive node (could also used single-threaded gunzip).I fixed the line-endings (from MS DOS line-endings) in the
Brew_20_DEMUX.csv
withdos2unix Brew_20_DEMUX.csv
I ran
sbatch run_slurm_parse_count.sh
after editingrun_slurm_parse_count.sh
to have the correct filenames and string for the sequencer id.
Splitting
The info lines for each read in parsed_*_R1.fastq
and parsed_*_R2.fastq
have the locus, the forward mid, the reverse mid, and the sample name. These can be used with the demux key to separate reads into loci, projects, and samples, in the folder sample_fastq/
. The reads are in separate files for each sequenced sample, including replicates. The unique combination of forward and reverse MIDs (for a locus) is part of the filename and allows replicates to be distinguished and subsequently merged.
run_splitFastq_fwd.sh
and run_splitFastq_rev.sh
run splitFastq.pl
, which split reads by sample and project, and place them in /project/microbiome/data/seq/gtl_tests/iSeq100Pilot1_brew_30nov20/rawdata/sample_fastq/.
splitFastq.pl
will need tweaking in the future, until sample names and the format of the key for demultiplexing and metadata stabilizes. The number of columns in the demux key has differed among some of our completed sequence lanes. Brew_20_DEMUX.csv
has 10 columns: forward_barcode,reverse_barcode,locus,samplename,project,wellposition,plate,midplate,substrate,client_name
.