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v1.0.5
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Dockerfile

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@@ -52,7 +52,7 @@ RUN pip3 install numpy pandas scipy
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RUN pip3 install pandas-plink ipython jupyter matplotlib pyarrow torch rpy2 gcsfs
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RUN cd /opt && \
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wget https://github.com/broadinstitute/tensorqtl/archive/v1.0.4.tar.gz && \
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tar -xf v1.0.4.tar.gz && mv tensorqtl-1.0.4 tensorqtl && \
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rm v1.0.4.tar.gz
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wget https://github.com/broadinstitute/tensorqtl/archive/v1.0.5.tar.gz && \
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tar -xf v1.0.5.tar.gz && mv tensorqtl-1.0.5 tensorqtl && \
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rm v1.0.5.tar.gz
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RUN pip3 install -e /opt/tensorqtl/

example/tensorqtl_examples.ipynb

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@@ -44,15 +44,15 @@
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"PyTorch 1.6.0\n",
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"Pandas 1.1.1\n"
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"PyTorch 1.7.1\n",
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"Pandas 1.2.2\n"
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]
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},
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"Mapping files: 100%|██████████| 3/3 [00:27<00:00, 9.27s/it]\n"
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"Mapping files: 100%|██████████| 3/3 [00:19<00:00, 6.52s/it]\n"
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]
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}
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],
@@ -101,11 +101,10 @@
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" * 301 phenotypes\n",
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" * 26 covariates\n",
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" * 13369268 variants\n",
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" * checking phenotypes: 301/301\n",
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" * Computing associations\n",
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" Mapping chromosome chr18\n",
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" processing phenotype 301/301\n",
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" time elapsed: 0.03 min\n",
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" time elapsed: 0.04 min\n",
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" * writing output\n",
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"done.\n"
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]
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" * 26 covariates\n",
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" * 13369268 variants\n",
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" * using seed 123456\n",
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" * checking phenotypes: 301/301\n",
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" * computing permutations\n",
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" processing phenotype 301/301\n",
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" Time elapsed: 0.54 min\n",
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" Time elapsed: 0.34 min\n",
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"done.\n"
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]
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}
@@ -522,7 +520,7 @@
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" * 26 covariates\n",
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" * 13369268 variants\n",
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" processing batch 1337/1337\n",
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" elapsed time: 1.41 min\n",
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" elapsed time: 0.67 min\n",
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" * 7620376 variants passed MAF >= 0.05 filtering\n",
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"done.\n"
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]
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.6.9"
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"version": "3.8.5"
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}
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},
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"nbformat": 4,

tensorqtl/__init__.py

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__version__ = "1.0.4"
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__version__ = "1.0.5"
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from .tensorqtl import *

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