pip install isovar==1.1.1
Determine mutant protein sequences from RN using assembly around variants
SourceAmong top 50% packages on PyPI.
Over 3.4K downloads in the last 90 days.
isovar
Based on how often these packages appear together in public
requirements.txt
files on GitHub.
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Python interface to running command-line and web-based MHC binding predictors |
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Python library for MHC nomenclature parsing |
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Variant annotation in Python |
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Python interface to ensembl reference genome metadata |
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Base class with serialization helpers for user-defined Python objects |
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Predict cancer epitopes from cancer sequence data |
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a tool to annotate human VCF files with PolyPhen2 effect measures |
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Simplicial homology global optimisation |
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Subsampled Online Matrix Factorization in Python |
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Utilities for applying scikit-learn to spatial datasets |
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googlefinance.client is a python client library for google finance api. |
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OpenAI Household Simulator: mobile manipulation using Bullet |
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Dataloaders for meta-learning in Pytorch |
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Helper functions for runtime type checking |
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Lightweight image sequence visualization utility based on matplotlib |
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Helpers for transparently downloading datasets |
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A package to prevent exploit |
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Automatically download and upload data for the Numerai machine learning competition |
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A package for landscape genomic simulation |
isovarProportion of downloaded versions in the last 3 months (only versions over 1%).
|
1.1.1 |
16.63% |
|
0.9.0 |
2.99% |
|
1.1.0 |
2.79% |
|
1.0.10 |
2.61% |
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0.8.5 |
2.35% |
|
1.0.0 |
2.18% |
|
1.0.8 |
2.18% |
|
1.0.2 |
2.15% |
|
1.0.4 |
2.15% |
|
1.0.9 |
2.15% |
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0.8.0 |
2.15% |
|
1.0.5 |
2.15% |
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0.8.3 |
2.12% |
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0.7.0 |
2.12% |
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1.0.1 |
2.12% |
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1.0.7 |
2.12% |
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0.8.1 |
2.12% |
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0.6.1 |
2.09% |
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0.4.0 |
2.09% |
|
0.7.2 |
2.09% |
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0.5.2 |
2.09% |
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1.0.6 |
2.09% |
|
1.0.3 |
2.09% |
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0.2.1 |
2.06% |
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0.8.2 |
2.06% |
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0.7.5 |
2.06% |
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0.7.4 |
2.03% |
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0.1.0 |
2.03% |
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0.7.1 |
2.03% |
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0.2.4 |
2.03% |
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0.5.0 |
2.03% |
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0.1.3 |
2.03% |
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0.6.0 |
2.03% |
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0.7.3 |
2.03% |
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0.0.5 |
2.03% |
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0.2.0 |
2.03% |
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0.1.5 |
2.00% |
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0.2.2 |
1.97% |
|
0.2.3 |
1.97% |
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0.0.6 |
1.97% |