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Plotting functions of Oxford Nanopore sequencing data

Project description


This module provides functions for plotting data extracted from Oxford Nanopore sequencing reads and alignments, but some of it's functions can also be used for other applications.

Twitter URL install with conda Build Status


  • Check if a specified color is a valid matplotlib color checkvalidColor(color)
  • Check if a specified output format is valid checkvalidFormat(format)
  • Create a bivariate plot with dots, hexbins and/or kernel density estimates. Also arguments for specifying axis names, color and xlim/ylim. scatter(x, y, names, path, color, format, plots, stat=None, log=False, minvalx=0, minvaly=0)
  • Create cumulative yield plot and evaluate read length and quality over time timePlots(df, path, color, format)
  • Create length distribution histogram and density curve lengthPlots(array, name, path, n50, color, format, log=False)
  • Create flowcell physical layout in numpy array makeLayout()
  • Present the activity (number of reads) per channel on the flowcell as a heatmap spatialHeatmap(array, title, path, color, format)


pip install nanoplotter

install with conda

conda install -c bioconda nanoplotter


If you use this tool, please consider citing our publication.

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