pip install varcode==1.0.3
Variant annotation in Python
SourceAmong top 10% packages on PyPI.
Over 7.6K downloads in the last 90 days.
varcode
Based on how often these packages appear together in public
requirements.txt
files on GitHub.
Python interface to running command-line and web-based MHC binding predictors |
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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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Python library for MHC nomenclature parsing |
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Helper functions for runtime type checking |
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Tiny Python benchmarking library |
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Rich collection class with grouping and filtering helpers |
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Helpers for transparently downloading datasets |
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Determine mutant protein sequences from RN using assembly around variants |
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MHC Binding Predictor |
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How to solve visualization problems with Python tools. |
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Simple library for perform quick nearby search for geo spatial data. |
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Artist for matplotlib to display a scale bar |
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The NetCDF Climate Forecast Conventions compliance checker |
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Python NGS tools |
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Python bindings to UCSC Big Binary (bigWig/bigBed) file library |
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pyanyzip is a module to help with dealing with compressed files transparently |
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Wavelet Matrix/Tree succinct data structure for full text search (using shellinford C++ library) |
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The sphinx theme for the SunPy website and documentation. |
varcode
Proportion of downloaded versions in the last 3 months (only versions over 1%).
1.0.3 |
11.72% |
1.0.2 |
2.36% |
1.0.1 |
2.32% |
1.0.0 |
2.15% |
0.9.2 |
2.15% |
0.9.4 |
2.15% |
0.9.3 |
2.12% |
0.9.0 |
2.11% |
0.8.0 |
2.10% |
0.9.1 |
2.08% |
0.5.15 |
1.98% |
0.7.0 |
1.74% |
0.6.3 |
1.73% |
0.5.12 |
1.73% |
0.6.6 |
1.73% |
0.5.11 |
1.70% |
0.5.9 |
1.70% |
0.5.10 |
1.70% |
0.5.13 |
1.70% |
0.5.14 |
1.69% |
0.5.4 |
1.57% |
0.5.8 |
1.56% |
0.5.7 |
1.56% |
0.4.16 |
1.56% |
0.5.3 |
1.56% |
0.4.12 |
1.56% |
0.4.18 |
1.56% |
0.4.15 |
1.54% |
0.4.17 |
1.54% |
0.4.19 |
1.54% |
0.4.7 |
1.54% |
0.5.1 |
1.54% |
0.5.0 |
1.54% |
0.4.14 |
1.53% |
0.3.18 |
1.53% |
0.4.3 |
1.52% |
0.4.0 |
1.50% |
0.4.5 |
1.50% |
0.4.6 |
1.50% |
0.4.1 |
1.50% |
0.5.2 |
1.49% |
0.4.4 |
1.49% |
0.4.2 |
1.48% |