sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
a1ad367c13990dd91c9a34ee04b878c4256509c32038cd98440feac2dd6d5d21 | Shell | 21 | 2 | #!/usr/bin/env bash
|
09815fdca9c36a7f1f6044030f4aa6595c8c54ab73b6cf2cc38de5111408a64a | Shell | 31 | 4 | #!/bin/bash
pytest -s tests/
|
a6104593db84530487adc459c161701192328a176657bb033b85af6a60e3156e | Shell | 31 | 1 | docker build -t bisweb/devel .
|
b133915039d950cb13079fa5ad045653eb4158833ee5911b39604ac7e592a4c8 | Shell | 31 | 1 | docker build -t bisweb/tools .
|
d79a748b5265a2566218fd6ab862fa95b69a74664913810bbf5d3c56b6e68547 | Shell | 33 | 2 | nrnivmodl opt_module/mechanisms
|
95400d60970e2c604c7108ee7fe657ae89663fd217c32744d7684a160d67278d | Shell | 34 | 2 | mkdir cTBS_30nA_10pc_9000p_seed1
|
19055b4017958e1b37adb09ec3b4b109b6f7446debf157117d10b215855d5dc5 | Shell | 37 | 1 | ./premake/generate_project_gmake2.sh
|
863aaf6365ae816748dd757ce4c568cb88c07715d898e78e064ccf300d1b6845 | Shell | 39 | 2 | #!/bin/sh
autoreconf --force --install
|
de11e6098572262e4c2594d41b719831b43ec0976924052f5f0c0499f2f9ac43 | Shell | 44 | 6 | #!/bin/bash
cd src
./compile_all.sh
cd ..
|
ce550981f05715bba273fb4238f4b70a88375adb3c5d42ef8fb246cc2ede56a3 | Shell | 45 | 4 | #!/bin/bash
gulp package -l "darwin,linux"
|
5cf50a4e1258345c8e388988bacff532b41a02233ea9e6dd27f04c4135191376 | Shell | 49 | 3 | #!/bin/bash
python ../CREaTor.py -i example.pkl
|
f1fad5df8fb0c25bf9ec30aaf73607e6de9ee4d1a82ff727768ce8f643078c50 | Shell | 49 | 5 | #!/bin/bash
source /start_jupyter.sh
exec "$@"
|
7f72a8de7725fa2df91df05cd63dd39bc9d9292cae054ad932ccf99306496352 | Shell | 51 | 4 | #!/bin/sh
cmake ../../ -DCMAKE_BUILD_TYPE=Debug
|
4f4cf7e9006a038b22c85b3f4d0711cd643370bf02bb8d204763b90f392a26f1 | Shell | 52 | 1 | hugo --cleanDestinationDir --minify --panicOnWarning |
257f231a349041fbb89051a56618318d4f5ce3b3fd841d3ca675e73f92851a8b | Shell | 53 | 1 | Rscript setting3_runScDD.R > log_setting3_runScDD.txt |
393b948986a8f8eb7f9fc4f9f2a1b7f01ec95f4c1d26b28829ca748d541729bd | Shell | 53 | 1 | Rscript setting2_runScDD.R > log_setting2_runScDD.txt |
6b3694f20d0dd5c79491f1cbb5ff2b458cea92f5c318679cd9e831ea330d3328 | Shell | 53 | 1 | docker build -t bisweb/devel-gpu -f Dockerfile.gpu .
|
91a8f8c42a2594a550af29e4587c49945f16cd6b3058efb6bbe2c80216ff8ab0 | Shell | 53 | 4 | #!/bin/sh
cmake ../../ -DCMAKE_BUILD_TYPE=Release
|
ca87ad946e725c8b6c7b03ced20ca5f684a6b75fab0c25ac1633c07764eb1ccb | Shell | 53 | 1 | Rscript setting1_runScDD.R > log_setting1_runScDD.txt |
8a30ee552fa82ee31afda0903a2c0c9876bc0480d9cd258224af27de3b006aa0 | Shell | 54 | 1 | /c/unix/innosetup5/ISCC.exe build/var/biselectron.iss
|
2ced6fdf6c71146597f13fe7d0b26566bac377552e4893a9037efb32f5746933 | Shell | 57 | 1 | Rscript setting2_runDESeq2.R > log_setting2_runDESeq2.txt |
330d6b599d5f46c8d0a0889c86cb321295ddc08f34fc32bfbd10d71fb784389d | Shell | 57 | 1 | Rscript setting3_runDESeq2.R > log_setting3_runDESeq2.txt |
5754461acfb2df6c464c9eb20610934f4d1273b7c8eaa4954b827c3b56a666b1 | Shell | 57 | 1 | Rscript setting1_runDESeq2.R > log_setting1_runDESeq2.txt |
0791459f53ded02902e91ebdf1893463b448d1a123a0fe18c7a0d64bb513e15f | Shell | 59 | 1 | ps aux | grep app.py | sed -E 's/^[^0-9]+([0-9]+).*$/\1/g'
|
2a8d80a983d40bfc60fa240f039c9898fa2a5a61d262ed4a5ed11e1b6066ec12 | Shell | 61 | 5 | #!/bin/bash
bsub -Is -q short -M 8 -W 2:00 -n 5 /bin/bash
|
5289eb720c563722cf9a7dc933b83bec9e0a5640a207ab7cec6766c7dbf34d28 | Shell | 61 | 4 | #!/bin/bash
make CXX=g++ CC=gcc
make plugins CXX=g++ CC=gcc
|
ade6fb2ff6b8d44f10852f09c2b7f5877ce57dfa98cb845de9fe6a9641fade35 | Shell | 62 | 1 | Rscript setting3_unLimmavoom.R > log_setting3_runLimmavoom.txt |
21b3c3ae5c71609c9feeb7c242cb4c928ea83b2beedfeec4eac3792d2c31ea60 | Shell | 63 | 5 | #!/bin/sh
find . -name \#*.* -delete
find . -name *~ -delete
|
399d488fdeb46af446558cb0575f095c17c0de55a8511f24efa822e6c7d49c7a | Shell | 63 | 1 | Rscript setting2_runLimmavoom.R > log_setting2_runLimmavoom.txt |
80ec5d0774699c1185541c6fadfda1ca0610733cca196f77f76cf4e77ebfba41 | Shell | 63 | 1 | Rscript setting3_runLimmavoom.R > log_setting3_runLimmavoom.txt |
d42cd7e303c5e44240cd3e57bdaa630375755b026249091a32b45dc787166bf6 | Shell | 63 | 1 | Rscript setting1_runLimmavoom.R > log_setting1_runLimmavoom.txt |
d1ae122787963e6a9972958292927c47b8172b9ef90496fd0fcbe0f73fecdc0b | Shell | 64 | 4 | #!/bin/bash
cd /data/client && \
npm install && \
grunt
|
c3b954e43d04ff95b9e6e06d29952d913fc3e474b4d045e244467217f5617bd2 | Shell | 65 | 2 | #!/bin/bash
python -m main_ec select_samples_for_ec_predict.fasta |
a7b96b2f933187271ea90b17c24f891cf21bc6487ecbe9bfdee4a5cfb7412bff | Shell | 67 | 5 | #!/bin/bash
bsub -Is -q gpu-medium -M 16 -W 3:00 -n 5 /bin/bash
|
00141f9a5f9fde867cca8e9085f7c907842a849ddbd12c652782538aee177fff | Shell | 69 | 2 | pip install -e ../convert_allen_space
pip install -e ../rpc_interface |
dbfe1aa5339824526fc8d6f48c1b32418a68fe6288025c3f4e713ca6381d32ee | Shell | 69 | 2 | #!/bin/bash
sed -i "s/doi = \"10/doi = \"https:\/\/doi.org\/10/g" $1
|
984ad7eab2347ccb797fdb959d5365734ebb1df9545e99e2cb1b3f6e77be713f | Shell | 73 | 1 | uglifyjs alphafold-viz.js -o min/alphafold-viz.min.js --compress --mangle |
9e9d2f89bd51e34754fe63031af5df1970c91620b3fd3685ae0aa16bf3d2caba | Shell | 75 | 5 | #!/bin/sh
mount -t debugfs none_debugs /sys/kernel/debug
modprobe usbmon
|
4900d5770ca1630a56f2ed2fdb7b6560a4b0e5f0d6ff0e6e479832fe0ba39b1c | Shell | 76 | 4 | #!/bin/bash
for x in ./*.tif; do
mkdir "${x%.*}" && mv "$x" "${x%.*}"
done
|
d82f1f7579b739679a6349c9f5f66548e42b387e6be5a8ee4e8e6be711cffdb9 | Shell | 77 | 1 | Rscript setting4_all_markers_runScDD.R > log_setting4_all_markers_runScDD.txt |
0d33bd12b464986d853a216373f09fb3c8b8876c271afb49eba3e78900602b95 | Shell | 81 | 1 | Rscript setting4_all_markers_runDESeq2.R > log_setting4_all_markers_runDESeq2.txt |
1a9cd23c21801907f3444726e4ce54681af2a41b0b6994bac972ed243961e31d | Shell | 81 | 2 | #!/bin/bash
# TODO : Run a Python code to use codecarbon package and call the API |
211707540803d134fb87100316245f3d2d735d5894e49bb7c666091e1987e550 | Shell | 81 | 2 | #!/bin/bash
rm -rf {lm,util,util/double-conversion}/*.o bin/{query,build_binary}
|
00deff6881222eff0eef5c5c3495c2da11a4cbf50f48d9f9c11fe4ea3274151d | Shell | 83 | 4 | #!/bin/sh
cmake ../../ -DCMAKE_CXX_FLAGS=-pg -DCMAKE_BUILD_TYPE=Release && make
|
9a97d598e0c19ebd84421367bdc27d3b39eb1c55fc93b3e83ef1c27986924db0 | Shell | 84 | 4 | #calculate q value
species=$1
R CMD BATCH {file_pathway}/$species/Rscript/qvalue.R
|
2f4b8e0797b721b201ae16ea5d3b1b2fa55147c0bf31f813f9ba14684218e0e0 | Shell | 87 | 9 | #!/bin/bash
set -xe
THIS=$(dirname "$0")
pushd ${THIS}/../
make -C doc/ dist
popd
|
794d8f8c20239c45f1441970d198912730f89f7a9540ab8e6e87cac6b84a8f73 | Shell | 87 | 1 | Rscript setting4_all_markers_runLimmavoom.R > log_setting4_all_markers_runLimmavoom.txt |
20c1d2065e8067083fe7d5a9a89b9f20bd46766719827016987b11196618674d | Shell | 88 | 2 | cp -r ./template cTBS_30nA_10pc_9000p_seed1
cp -r ./template cTBS_30nA_10pc_3000p_seed1
|
35108f3dd349f5f318d9037ce570e8a1e1468aa5591f9b09d736cb43dad26a59 | Shell | 91 | 1 | $PYTHON setup.py install --single-version-externally-managed --record=record.txt # Python
|
6dcc21dbca72f55920324955d1f5dda906285ca841abede20c567dc52401f140 | Shell | 91 | 3 | #!/usr/bin/env sh
./build/tools/caffe train --solver=examples/mnist/lenet_solver.prototxt
|
d0d771a9f344abce1b151b039979276c20d1075abba0aba65f0f66f0f81aac50 | Shell | 91 | 7 | #!/bin/bash
# compile custom operators
cd pointnet2
python setup.py install --user
cd ..
|
7d16c8d22e3a23a5cd73ead87608187906f6ae6fa0133c0991a7e9770a5e8f62 | Shell | 92 | 6 | #!/bin/sh
# Run COBA tests
cd coba_test
./run_coba_test.sh && ./run_coba_parallel_test.sh
|
901106631dd997220426dc12bcc7b7841a1a70328c891b9489efd88575f300ce | Shell | 92 | 4 | set -ex
sudo -H pip install visdom
sudo -H pip install dominate
sudo -H pip install moviepy
|
3158099ffbfcc56ce52a4d9eff15cc4d765859b3439b9408318119659f3a810c | Shell | 94 | 3 | #!/usr/bin/env bash
python -m pyinotify -c 'make html' -r -e IN_CLOSE_WRITE source ../csbdeep |
55ffdc39c78058b4164c218fa021885f0304e63ef8b722b4d86bdfe1558bfcf0 | Shell | 94 | 3 | #!/usr/bin/env bash
# Starts the bisweb MCP server.
exec node "$(dirname "$0")/bisweb_mcp.js"
|
22862ceaaff1db88630b6e83039aa4cdfeaafbe349f5fdd91e30684088ee24d8 | Shell | 95 | 5 | #!/bin/bash
cd ~/nf/nf-rtime
. /opt/miniconda3/etc/profile.d/conda.sh
conda activate rt
spyder
|
d72a9e94e1ef5c31d107b1d2beaaba8dd3def2a5834aac77c11f8f20b8ef9846 | Shell | 95 | 3 | #! /bin/bash
find /project_cephfs/3022051.01/sessions/ -type d -mtime +30 -exec rm -rf {} \;
|
dfa9be37d26d5f29180e4509da5c2ad080438299332b480e4307bbfca0968bb1 | Shell | 96 | 3 | #!/bin/bash
$TRINITY_HOME/Analysis/FL_reconstruction_analysis/FL_trans_analysis_pipeline.pl $*
|
a13433092fbb96b1229c36dd92dbb78370bbccfd735a6f9c25cde40630455731 | Shell | 97 | 7 | #!/usr/bin/env bash
set -exu
exp_dir=$1
CUDA_VISIBLE_DEVICES=1 python -m src.test -e $exp_dir
|
7f53dfc7a3faec6c9e1d3a91f0c75bd2fbc751eca21e3aa0448b5f1268cffe84 | Shell | 99 | 8 | #!/usr/bin/env bash
set -exu
exp_dir=$1
CUDA_VISIBLE_DEVICES=0,3 python -m src.dev -e $exp_dir
|
43df03451599d1c11d22fc5e219cbbab1bd28938e45b837a30089565f037b08b | Shell | 100 | 1 | R CMD BATCH /dcs04/lieber/lcolladotor/pilotLC_LIBD001/locus-c/code/analyses_sn/05_markerDetection.R
|
b5ffa105d208b199ba44a3673f38a6efd397f2372ffbed5c16a0b1ead5ed96a3 | Shell | 100 | 5 | #!/bin/bash
cd ~/nf/nf-rtime
. /opt/miniconda3/etc/profile.d/conda.sh
conda activate rt
jupyter lab
|
75fe048d2f8c87e09e4551ed078a970e788491e11f85a1a79efea6f2641bce73 | Shell | 101 | 8 | #!/bin/bash
FILENAME=$1
RBP=$2
awk -v r=$RBP '{print $1"\t"$2"\t"$3"\t"r"\t"$5"\t"$6}' $FILENAME
|
a37c31fca77578f10f76dd0117e1cdfe080fd6a9e52ae00fe8c56104aa3520ab | Shell | 101 | 3 | #!/bin/bash
wget https://github.com/jsbroks/dextr-keras/releases/download/v1.0.0/dextr_pascal-sbd.h5 |
562b5096b9d11c0f57a21cafd9f81e85ce297bd37aba8f57b9aa4636f5660a5b | Shell | 105 | 5 | #!/bin/bash
# TODO: Error check
matlab -nodisplay -nodesktop -nosplash -r "runExpt('${1}', ${2});exit"
|
c8c98472adee68d1f7800e4f5b0f87ef7972ad3d0ab8a553fb18c8cb17ff605b | Shell | 105 | 3 |
echo 'export BASALGANGLIADATA=~/Documents/Repositories/BasalGangliaData/' >> ~/.bashrc
source ~/.bashrc
|
d726326fe504802859b6621961de7889c3d8c22d89324042bbcf599dd161fdeb | Shell | 105 | 4 | #!/bin/sh
./sim_isp_orig --out /tmp/out --simtime 10
./sim_background --dir /tmp/ --tau 10 --simtime 10
|
da9a790b8ff55d76bee02d2d44a36463aa3a043d565d49492daf6728409b5edc | Shell | 106 | 2 | cd /home/knight/hoycw/PRJ_Error/scripts/
matlab -nosplash -nojvm -nodisplay -r cleaning_preproc_bob_error
|
0179b7b4fcd320319ab7cc943712d61332819e257da9d05d3057163a0fb48fe4 | Shell | 107 | 6 | #!/bin/bash
docker run \
--rm -it \
-v $PWD:/dtox_robustness \
ghcr.io/csbg/dtox-container:1.0.0 $@
|
2b814b86fbc90384f6d822f1dec148fc5c6648d21dbfb8fbea0dcbe8336201ce | Shell | 107 | 4 | #!/usr/bin/env sh
./build/tools/caffe train \
--solver=models/bvlc_reference_caffenet/solver.prototxt
|
ac2e476c936ba5d410082e3ea3d238ae1d1f596e2632bad645f1214da09f1485 | Shell | 107 | 4 | #!/usr/bin/env sh
./build/tools/caffe train \
--solver=examples/mnist/mnist_autoencoder_solver.prototxt
|
0243d8f0d765ac74d7258d3645cde0cd98346453ec74e9c4a534dfaf81919957 | Shell | 108 | 2 | # run from base protein_generator directory
python inference.py --input_json examples/reduced_aa_args.json
|
05c55a1f4c71351c330261a4b142c4c063692af93e2c216602a7ef07eb2b55ed | Shell | 108 | 4 | #!/usr/bin/env sh
./build/tools/caffe train \
--solver=examples/mnist/lenet_consolidated_solver.prototxt
|
f686ce4fbc9494db8ee0ed581a39201d6a587995ca56e7229d0e83669baff1fb | Shell | 108 | 2 | #source activate TDNODE
python src/analysis/compound.py --config experiments/analysis/compound/compound.yaml |
45e26aa475e717614b3649f9213bebd5de5cc1d7075496a508c12fb5c817dfb1 | Shell | 109 | 3 | python ./inference.py \
--sampler cleavage_foldswitch \
--input_json ./examples/multistate_args.json
|
e630abe570e8d41ca5cd10495a84427b9a088c86ed7ac30ab560a90988e1ab94 | Shell | 109 | 4 | #!/bin/bash
./build/tools/caffe train \
--solver=examples/mnist/mnist_autoencoder_solver_adagrad.prototxt
|
5e0e132088aeba88874a04b7380f33700c080194bbb27988baf0eefb90ac1338 | Shell | 110 | 6 | #!/bin/bash
docker run \
--rm -it \
-v $PWD:/pnet_robustness \
ghcr.io/csbg/r_pnet_robustness:1.0.0 $@
|
7362d3e87406eab07b06bf38b8d1f14231522e749f27a4c6163bcde28c8ba8b4 | Shell | 110 | 2 | #!/bin/bash
grep -L "Finished prediction" *.out | awk -F. '{print "sbatch " $1".slurm"}' > resubmit_failed.sh
|
86def51687273c9d9c863de7d3ccba3b0a047dc1e049378d6cfbc21198bfc283 | Shell | 110 | 4 | #!/bin/bash
./build/tools/caffe train \
--solver=examples/mnist/mnist_autoencoder_solver_nesterov.prototxt
|
1d7c1e7adec30375efc0b87c83832be60476ba432976f54719098a32fbd12304 | Shell | 111 | 7 | #!/bin/bash
set -ve
git submodule init trinity_ext_sample_data
git submodule update trinity_ext_sample_data
|
707c245fc556b113f3a9ea32fd3ba854cbcb8828dd85538c09c4a55d7acd69c7 | Shell | 111 | 3 | #!/bin/sh
wget http://ai.stanford.edu/~acoates/stl10/stl10_binary.tar.gz
tar -xf --strip=1 stl10_binary.tar.gz
|
7dbb8fefe847adb7101834e0cc28f61e58f11ca44ef75a829e87d6d103ab3d35 | Shell | 111 | 4 | ./emsdk activate clang-e1.38.31-64bit
./emsdk activate emscripten-1.38.31
./emsdk activate sdk-e1.38.31-64bit
|
0020ff1bc3df90d253cbbab1cdc3fa7297d1977c2d620281ba8ab1eb3259895b | Shell | 114 | 11 | #!/bin/bash
. ./globalvars.sh
SRC_DIR=$OUT_DIR/src
mkdir -p $SRC_DIR
echo src_dir: $SRC_DIR
cp -r * $SRC_DIR
|
560bdf093ef42e5f586e5e3a66541a703f27ae9ad184c854f73351c94f7d2cef | Shell | 114 | 3 | # Environment Variables - change python path such that tf_spiking is recognized as module
export PYTHONPATH=$PWD
|
2f3773ac977e7b1ea256d9a4f46f3ee6c815997c065034d026274256f09b6756 | Shell | 115 | 5 | #!/usr/bin/env sh
TOOLS=./build/tools
$TOOLS/caffe train --solver=examples/siamese/mnist_siamese_solver.prototxt
|
35dfc6943c80c965a548146be1d0337dc73d898403eaf092715b8d42674d6ee2 | Shell | 115 | 5 | #!/bin/bash
PREMAKE_EXE=./3rdParty/premake/premake5
$PREMAKE_EXE --verbose --file=./premake/workspace.lua gmake2
|
440abe82a7dd7d344c3766c8a78135f489e08e48c9d0533a786b22de0db4c8fb | Shell | 115 | 4 | #!/bin/bash
isort --sl gradient_accumulator
black --line-length 80 gradient_accumulator
flake8 gradient_accumulator |
598f4674c4077a33c20600fc730b5d6de9599875d1804232a9eec69d9b94bcce | Shell | 116 | 3 | python validate.py \
--model simple_pose_resnet18_v1b --num-joints 17 \
--batch-size 128 --num-gpus 8 -j 60
|
4d72e3f67a33cb4b3cb0a7dd8535b26c807596c06eb709f48e76d0c85b918e96 | Shell | 117 | 3 | #!/bin/bash
echo "[INFO]: Begin training of TDNODE\n"
python src/train.py --config experiments/SLD/configs/train.yaml |
4b4aba9b97f0a16113db729c55bf6b6ddc02329f476c0208b3a18ac520482e43 | Shell | 118 | 4 | #!/usr/bin/env bash
make html
aws s3 sync _build/html/ s3://doc.bdd100k.com/ --exclude ".DS_Store" --acl public-read
|
6641037eaee62fb8d3a78e6526b59bd1da36442188fe92bff28c86312cb5c2f1 | Shell | 118 | 2 | #!/usr/bin/bash
python3 main.py train -m attnresunet -dr dataset_fake/ -w temp.h5 -c 3 -is 64 -b 2 -tl freeze_decoder
|
eb19286c2b06840c007de770397235809931372dc561ed1a5e447cd143171cf1 | Shell | 118 | 6 | #!/bin/bash
singularity run \
--writable-tmpfs \
--bind $PWD:/pnet_robustness \
r_pnet_robustness_1.0.0.sif $@
|
899733f042f657456745e742d3dfee49c9f7718a5ce64266fb2d1d960ebb926e | Shell | 119 | 4 | #source env/bin/activate
export ADAPET_ROOT=`pwd`
export PYTHONPATH=$ADAPET_ROOT:$PYTHONPATH
export PYTHON_EXEC=python
|
bbe276e773ba80752904b069cff97e974dd2e7d7afdc35d93c4c3fd4304e95a1 | Shell | 119 | 4 | set -ex
conda install -c conda-forge visdom
conda install -c conda-forge dominate
conda install -c conda-forge moviepy
|
79cc653df7b53da66ab196b9b07fd8da98fe5b2db7c58f1edd11c1312be77f96 | Shell | 125 | 4 | # package as source and binary
python3 setup.py sdist bdist_wheel
# load package to test pypi
python3 -m twine upload dist/*
|
41796aa2a23f405ab9b1a54462f89a7fd8e4626047e978958794e84a5ca6fd47 | Shell | 127 | 4 | #PBS -l walltime=7:59:00
#PBS -l select=1:ncpus=1:mem=16gb
module load anaconda3/personal
python bootstrap_rfmix_maxanc.py PUR
|
69862f8f8b888785b2abc5a3077873a4de4b0ea4a00d1810df30233402b7b007 | Shell | 127 | 4 | #PBS -l walltime=7:59:00
#PBS -l select=1:ncpus=1:mem=16gb
module load anaconda3/personal
python bootstrap_rfmix_maxanc.py PEL
|
876564973061ada8e3806e26b0ff546e109c8b4c1151686f9d1caf7103290d2e | Shell | 127 | 7 | #!/usr/bin/env bash
set -exu
config_file=$1
echo "$config_file"
CUDA_VISIBLE_DEVICES=0,3 python -m src.train -c $config_file
|
8ba1e26c9b3795fc9155a5e1cf0dff32add51ba0295460f2fbd8ef5deb52da47 | Shell | 127 | 7 | #!/bin/bash
if [ ! -d "env" ] ; then
python -m venv env
source env/bin/activate
pip install -r requirements.txt
fi |
90408b0ee3d1923baa6c1aeed1d416c8948859c0ad085fe03ab108469a17045c | Shell | 127 | 4 | #PBS -l walltime=7:59:00
#PBS -l select=1:ncpus=1:mem=16gb
module load anaconda3/personal
python bootstrap_rfmix_maxanc.py MXL
|
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