Recent Releases of pard
pard - v0.7.0.1
Stable version with Pairwise Distance, Sneath, Miyata, Epstein, Grantham distances, Experimental exchangeability score, conformational similarity weight matrix (Kolaskar), EMPAR (Exchange Matrix derived from PARameters) score and 7 Koshi-Goldstein likelihood score computations supported. 3 letter code as well as 1 letter code are supported. Please install pard with PyPI (cf. documentation on GitHub or PyPI). Downloading source files from zenodo is not ideal.
- Python
Published by JasonMendoza2008 over 2 years ago
pard - v0.7.0.0
Stable version with Pairwise Distance, Sneath, Miyata, Epstein, Grantham distances, Experimental exchangeability score, conformational similarity weight matrix (Kolaskar), EMPAR (Exchange Matrix derived from PARameters) score and 7 Koshi-Goldstein likelihood score computations supported. 3 letter code as well as 1 letter code are supported. Please install pard with PyPI (cf. documentation on GitHub or PyPI). Downloading source files from zenodo is not ideal.
- Python
Published by JasonMendoza2008 almost 3 years ago
pard - v0.5.0.0
Stable version with Sneath, Miyata, Epstein, Grantham distances, Experimental exchangeability score, conformational similarity weight matrix (Kolaskar), and 7 Koshi-Goldstein likelihood score computations supported. 3 letter code as well as 1 letter code are supported. Please install pard with PyPI (cf. documentation on GitHub or PyPI). Downloading source files from zenodo is not ideal.
- Python
Published by JasonMendoza2008 almost 3 years ago
pard - v0.4.0.0
Stable version with Sneath, Miyata, Epstein, Grantham distances, Experimental exchangeability score computations supported, and 7 Koshi-Goldstein likelihood score computations supported. 3 letter code as well as 1 letter code are supported. Please install pard with PyPI (cf. documentation on GitHub or PyPI). Downloading source files from zenodo is not ideal.
- Python
Published by JasonMendoza2008 about 3 years ago
pard - v0.3.0.0
Stable version with Sneath, Miyata, Epstein, Grantham distances, Experimental exchangeability score computations supported, and 3 Koshi-Goldstein likelihood score computations supported. 3 letter code as well as 1 letter code are supported. Please install pard with PyPI (cf. documentation on GitHub or PyPI). Downloading source files from zenodo is not ideal.
- Python
Published by JasonMendoza2008 over 3 years ago
pard - 0.2.0.1
Stable version with Sneath, Miyata, Epstein, Grantham distances and Experimental exchangeability score computations supported. 3 letter code as well as 1 letter code are supported. Please install pard with PyPI (cf. documentation on GitHub or PyPI). Downloading source files from zenodo is not ideal.
- Python
Published by JasonMendoza2008 over 3 years ago
pard - 0.1.7.1
Stable version with Sneath, Miyata, Epstein, Grantham distances and Experimental exchangeability score computations supported. Please install pard with PyPI (cf. documentation on GitHub or PyPI). Downloading source files from zenodo is not ideal.
- Python
Published by JasonMendoza2008 over 3 years ago