pip install mhctools==1.8.1
Python interface to running command-line and web-based MHC binding predictors
SourceAmong top 50% packages on PyPI.
Over 4.2K downloads in the last 90 days.
mhctools
Based on how often these packages appear together in public
requirements.txt
files on GitHub.
Python library for MHC nomenclature parsing |
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Variant annotation in Python |
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Base class with serialization helpers for user-defined Python objects |
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Python interface to ensembl reference genome metadata |
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Determine mutant protein sequences from RN using assembly around variants |
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Helper functions for runtime type checking |
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Helpers for transparently downloading datasets |
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Rich collection class with grouping and filtering helpers |
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Tiny Python benchmarking library |
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The NetCDF Climate Forecast Conventions compliance checker |
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How to solve visualization problems with Python tools. |
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Naive Bayes Text Classification |
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MHC Binding Predictor |
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pyanyzip is a module to help with dealing with compressed files transparently |
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Powerful data structures for data analysis, time series, and statistics |
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Abydos NLP/IR library |
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Automatically download and upload data for the Numerai machine learning competition |
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Artist for matplotlib to display a scale bar |
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Python NGS tools |
mhctools
Proportion of downloaded versions in the last 3 months (only versions over 1%).
1.8.1 |
15.13% |
1.8.0 |
2.74% |
1.7.1 |
2.12% |
0.3.1 |
1.98% |
1.7.0 |
1.94% |
1.6.20 |
1.70% |
1.6.18 |
1.70% |
1.6.23 |
1.70% |
1.6.19 |
1.68% |
1.6.13 |
1.68% |
1.6.16 |
1.68% |
1.6.22 |
1.65% |
1.6.6 |
1.65% |
1.6.21 |
1.65% |
1.6.17 |
1.63% |
1.4.0 |
1.63% |
1.6.8 |
1.63% |
1.6.10 |
1.63% |
0.1.1 |
1.60% |
0.5.0 |
1.60% |
1.0.2 |
1.60% |
1.6.4 |
1.60% |
1.6.15 |
1.60% |
1.6.2 |
1.60% |
1.1.0 |
1.58% |
1.0.1 |
1.58% |
0.4.0 |
1.58% |
1.3.0 |
1.58% |
1.6.5 |
1.58% |
0.2.2 |
1.58% |
0.2.0 |
1.56% |
1.6.1 |
1.56% |
0.1.8 |
1.56% |
1.6.3 |
1.56% |
1.5.0 |
1.56% |
0.1.0 |
1.56% |
0.0.4 |
1.56% |
0.0.5 |
1.56% |
1.6.0 |
1.56% |
0.1.3 |
1.56% |
0.1.2 |
1.53% |
0.3.0 |
1.53% |
1.2.0 |
1.53% |
0.0.6 |
1.53% |
0.0.11 |
1.53% |
0.2.3 |
1.53% |
0.1.4 |
1.53% |
1.0.0 |
1.51% |
0.4.1 |
1.51% |
0.2.1 |
1.51% |
0.1.7 |
1.51% |
0.1.6 |
1.51% |
0.1.5 |
1.51% |