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        "author": "Patrick Kunzmann",
        "author_email": "padix.key@gmail.com",
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            "Development Status :: 1 - Planning",
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            "Operating System :: OS Independent",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: 3.7",
            "Programming Language :: Python :: Implementation :: CPython",
            "Topic :: Scientific/Engineering :: Bio-Informatics"
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        "description": "\nGenerated color schemes for sequence alignment visualizations\n=============================================================\n\nMultiple sequence alignments are often visualized by coloring the\nsymbols according to some kind of properties.\nFor example a color scheme for amino acids could use one color for\nhydrophobic residues, another color for positively charged residues\nand so forth.\nUsually, such color schemes are created manually by experienced people\nwho have knowledge about the characteristics of the e.g. amino acids,\nso they can assign equal or similar colors to amino acids that share\nsimilar properties.\n\nThe *Gecos* software follows a different approach:\nInstead of looking at specific, sometimes subjective properties,\nit uses another source for estimating the similarity of symbols:\nthe substitution matrix itself.\nSimilar colors are assigned to high scoring pairs of symbols, low\nscoring pairs get distant colors - in a completely automatic manner.\nAs a result the distance of two symbols in the substitution matrix\ncorresponds to the perceptual differences in the color scheme.\n\n\n",
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