Oleg Shpynov olegs

## analysis.ipynb

      
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                olegs
                / analysis.ipynb
            
            
              Created
              January 12, 2024 11:07
            
              
                Rapid unleashing of macrophage efferocytic capacity via transcriptional pause/release (commands.sh)
              
          
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## batch-fast-style-transfer.sh
# This is a bash script for batch images processing using https://github.com/lengstrom/fast-style-transfer code.
# Used in udacity Deep Learning Nanodegree https://www.udacity.com/course/deep-learning-nanodegree--nd101
# Step 1. Configure environment
#   conda create -n style-transfer python=3
#   activate style-transfer
#   conda install tensorflow scipy pillow
#   pip install moviepy
#   python -c "import imageio; imageio.plugins.ffmpeg.download()"
#
# Step 2. Close source code and have fun

## tdf.rst

      
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                olegs
                / tdf.rst
            
            
              Created
              March 30, 2018 18:56
                — forked from superbobry/tdf.rst
            
              
                TDF format spec
              
          
    TDF

TDF is a binary format developed by the IGV team at Broad Institute.
Overview

Concepts

  
## wait.sh
# Small procedure to wait until all the tasks are finished on the qsub cluster
# Example of usage: wait_complete $TASKS, where $TASKS is a task ids returned by qsub.
wait_complete()
{
    echo "Waiting for tasks..."
    for TASK in $@
    do :
        echo -n "TASK: $TASK"
        # The task id is actually the first numbers in the string
        TASK_ID=$(echo ${TASK} | sed -e "s/\([0-9]*\).*/\1/")
	# This is a bash script for batch images processing using https://github.com/lengstrom/fast-style-transfer code.
	# Used in udacity Deep Learning Nanodegree https://www.udacity.com/course/deep-learning-nanodegree--nd101
	# Step 1. Configure environment
	# conda create -n style-transfer python=3
	# activate style-transfer
	# conda install tensorflow scipy pillow
	# pip install moviepy
	# python -c "import imageio; imageio.plugins.ffmpeg.download()"
	#
	# Step 2. Close source code and have fun
	# Small procedure to wait until all the tasks are finished on the qsub cluster
	# Example of usage: wait_complete $TASKS, where $TASKS is a task ids returned by qsub.
	wait_complete()
	{
	echo "Waiting for tasks..."
	for TASK in $@
	do :
	echo -n "TASK: $TASK"
	# The task id is actually the first numbers in the string
	TASK_ID=$(echo ${TASK} \| sed -e "s/\([0-9]\)./\1/")