MinIONQC

First of all, we will use MinIONQC to quality control our data.

MinIONQC is developed by Rob Lanfear:

R Lanfear, M Schalamun, D Kainer, W Wang, B Schwessinger; MinIONQC: fast and simple quality control for MinION sequencing data, Bioinformatics, , bty654, https://doi.org/10.1093/bioinformatics/bty654

Script collection that will generate a range of diagnostic plots for quality control of sequencing data from Oxford Nanopore’s MinION sequencer.

MinIONQC works directly with the sequencing_summary.txt files produced by ONT’s Albacore or Guppy base callers. This allows MinIONQC for quick-and-easy comparison of data from one or multiple flowcells.

Complete manual can be looked up at: https://github.com/roblanf/minion_qc

Usage:

MinIONQC.R --help
Usage: MinIONQC.R [options]
Options:
-h, --help Show this help message and exit
-i INPUT, --input=INPUT
 Input file or directory (required). Either a full path to a sequence_summary.txt file, or a full path to a directory containing one or more such files. In the latter case the directory is searched recursively.
-o OUTPUTDIRECTORY, --outputdirectory=OUTPUTDIRECTORY
 Output directory (optional, default is the same as the input directory). If a single sequencing_summary.txt file is passed as input, then the output directory will contain just the plots associated with that file. If a directory containing more than one sequencing_summary.txt files is passed as input, then the plots will be put into sub-directories that have the same names as the parent directories of each sequencing_summary.txt file
-q QSCORE_CUTOFF, --qscore_cutoff=QSCORE_CUTOFF
 The cutoff value for the mean Q score of a read (default 7). Used to create separate plots for reads above and below this threshold
-p PROCESSORS, --processors=PROCESSORS
 Number of processors to use for the anlaysis (default 1). Only helps when you are analysing more than one sequencing_summary.txt file at a time
-s SMALLFIGURES, --smallfigures=SMALLFIGURES
 TRUE or FALSE (the default). When true, MinIONQC will output smaller figures, e.g. suitable for publications or presentations. The default is to produce larger figures optimised for display on screen. Some figures just require small text, and cannot be effectively resized.

Run MinionQC to get some statistics for your data. The output directory should be:

~/workdir/data_artic/MinIONQC/

If you are stuck, go to the next page for help with the command.