Releases: MICS-Lab/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.
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.
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.
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.
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.
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.
0.1.7.1
0.1.6.2
Stable version with both Grantham & Sneath distance computations supported. Please install pard
with PyPI (cf. documentation on GitHub or PyPI). Downloading source files is not ideal.
0.1.4b
First clean & stable version. Only supports Grantham.