msa_plot

msa_plot generates plots for pre-computed multiple sequence alignments in FASTA-format.

`usage: msa_plot [-h] [-s] [-e] [-r] [-fs] [-cmap] [-cval] [-bl] [-of] msa

Vizualisation of multiple sequence alignments

positional arguments: msa Multiple sequence alignment (FASTA-format)

options: -h, --help show this help message and exit -s , --start Start of the section you want to show (default: 1) -e , --end End of the section you want to show (default: alignment end) -r , --row_length Number of alignment columns to show per row (default: 100) -fs , --font_style Font style for sequence names ( default: 'normal", choices: ['normal', 'italic', 'oblique']) -cmap , --color_map Choose one of the many colormaps available to matplotlib (default: 'tab20' ) -cval , --color_val A character to value map (JSON-format) -bl, --bold_last Highlight last sequence by witing it's name in bold letters -of , --out_format Output format (default: 'png' choices: ['eps', 'jpg', 'jpeg', 'pdf', 'pgf', 'png', 'ps', 'raw', 'rgba', 'svg', 'svgz', 'tif', 'tiff', 'webp'])`

Demo plot for some random p53 sequences I found on UniProt and aligned with MAFFT: