2. Configure Environment for Full Profiling Pipeline¶

This workflow assumes you have already set up an AWS account with an S3 bucket and EFS, and created a VM per the instructions in the link below.

2.1. Launch an AWS Virtual Machine for making CSVs and running Distributed-CellProfiler¶

Launch an EC2 node using AMI cytomining/images/hvm-ssd/cytominer-bionic-trusty-18.04-amd64-server-*, created using cytominer-vm.

You will need to create an AMI for your own infrastructure because the provisioning includes mounting S3 and EFS, which is account specific. We recommend using an m4.xlarge instance, with an 8Gb EBS volume.

Note: Proper configuration is essential to mount the S3 bucket. The following configuration provides an example, named imaging-platform (modifications will be necessary).

Launch an ec2 instance on AWS
AMI: cytomining/images/hvm-ssd/cytominer-ubuntu-trusty-18.04-amd64-server-1529668435
Instance Type: m4.xlarge
Network: vpc-35149752
Subnet: Default (imaging platform terraform)
IAM role: s3-imaging-platform-role
No Tags
Select Existing Security Group: SSH_HTTP
Review and Launch
ssh -i <USER>.pem ubuntu@<Public DNS IPv4>

After starting the instance, ensure that the S3 bucket is mounted on ~/bucket. If not, run sudo mount -a.

Log in to the EC2 instance.

Enter your AWS credentials

aws configure

The infrastructure is configured with one S3 bucket. Mount this S3 bucket (if it is not automatically mounted)

sudo mount -a

Check that the bucket was was mounted. This path should exist:

ls ~/bucket/projects

2.2. Create a tmux session¶

You will want to retain environment variables once defined, and for processes to run when you are not connected, so you should create a tmux session to work in

tmux new -s sessionname

You can detach from this session at any time by typing Ctl+b, then d. To reattach to an existing session, type tmux a -t sessionname

You can list existing sessions with tmux list-sessions and kill any poorly-behaving session with tmux kill-session -t sessionname

2.3. Define Environment Variables¶

These variables will be used throughout the project to tag instances, logs etc so that you know which machines are working on what, which files to operate on, where your logs are, etc.

PROJECT_NAME=2015_10_05_DrugRepurposing_AravindSubramanian_GolubLab_Broad

BATCH_ID=2016_04_01_a549_48hr_batch1

BUCKET=imaging-platform

MAXPROCS=3 # m4.xlarge has 4 cores; this should be # of cores on your instance - 1

2.4. Create Directories¶

mkdir -p ~/efs/${PROJECT_NAME}/workspace/

cd ~/efs/${PROJECT_NAME}/workspace/

mkdir -p log/${BATCH_ID}

2.5. Download Software¶

cd ~/efs/${PROJECT_NAME}/workspace/
mkdir software
cd software
git clone https://github.com/broadinstitute/pe2loaddata.git
git clone https://github.com/CellProfiler/Distributed-CellProfiler.git

cd ..

If these repos have already been cloned, git pull to make sure they are up to date.

This is the resulting structure of software on EFS (one level below workspace):

└── software
    ├── Distributed-CellProfiler
    └── pe2loaddata

Image-based Profiling Handbook

Configure Environment for Full Profiling Pipeline

Contents