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Python 3.7 and Bokeh based visualization for Multiple Sequence Alignments

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BioViz

Python 3.7 and Bokeh based visualization for Multiple Sequence Alignments

Usage

bioviz [-h] --file INPUT --type TYPE [--colors?] [--width PLOT_WIDTH] [--color COLOR_SCHEME] [--save] [--output OUTPUT] [--export EXPORT_FILE_TYPE]

Optional arguments:

  • -h, --help show this help message and exit
  • --file INPUT, -f INPUT Path to the file to used as input.
  • --type TYPE, -t TYPE Define what type of figure should be created.
  • --colors?, -c? List available color schemes.
  • --width PLOT_WIDTH, -w PLOT_WIDTH For alignment and sequence logo figures defines the width in number of residues,for the dendogram it defines plot width in pixels.
  • --color COLOR_SCHEME, -c COLOR_SCHEME Color scheme to use for the residues. Defaults to clustal
  • --save, -s Only save the html file containing the fiugre, and do not automatically open it.
  • --output OUTPUT, -o OUTPUT The name or full path including the file name to save the result.
  • --export EXPORT_FILE_TYPE, -e EXPORT_FILE_TYPE Export the logo as PNG or SVG. SVG is not available for the sequence logo.

Diagram types:

  • alignment Display the MSA file as plain sequence aligment.
  • dendogram Create a dendogram from a dnd file
  • seqlogo Create a sequence logo from the alignment.

Nucleotide color schemes:

  • clustal
  • macClade
  • gcat
  • purinePyrimidine
  • translation
  • annotation
  • nucleotide

Protein color schemes:

  • proteinClustal

  • proteinZappo

  • proteinTaylor

  • proteinHydrophobicity

  • proteinHelixPropensity

  • proteinStrandPropensity

  • proteinTurnPropensity

  • proteinBuriedIndex

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