Metadata-Version: 1.1
Name: nanoplotter
Version: 0.13.2
Summary: Plotting functions of Oxford Nanopore sequencing data
Home-page: https://github.com/wdecoster/nanoplotter
Author: Wouter De Coster
Author-email: decosterwouter@gmail.com
License: MIT
Description: nanoplotter
        ===========
        
        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.
        
        | These functions include:
        | \* 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)``
        
Keywords: nanopore sequencing plotting quality control
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
