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Welcome to pyGenomeTracks's documentation!

Standalone program and library to plot beautiful genome browser tracks

pyGenomeTracks aims to produce high-quality genome browser tracks that are highly customizable. Currently, it is possible to plot:

  • bigwig
  • bed/gtf (many options)
  • bedgraph
  • bedgraph matrices (like TAD-separation scores)
  • epilogos
  • narrow peaks
  • links (represented as arcs, triangles or squares)
  • Hi-C matrices (as triangle or squares)
  • fasta
  • maf (multiple alignment format)

Here is a scheme which describe how pyGenomeTracks is working (graphical abstract of Lopez-Delisle et al. 2020):

content/images/graphicalabstract.png

pyGenomeTracks can make plots with or without Hi-C data. The following is an example output of pyGenomeTracks from Ramírez et al. 2017.

content/images/hic_example_nat_comm_small.png

There are 3 ways for using pyGenomeTracks:

Table of content

.. toctree::
   :maxdepth: 1
   :caption: Contents:

   content/installation
   content/usage
   content/citation
   content/all_tracks
   content/examples
   content/possible-parameters
   content/adding-new-tracks
   content/releases
   content/faq