2. FTP FASTQ files to EFS storage
> sftp -i userName.pem username@10.65.122.170
> cd /mnt/efs mkdir myDirectoryName
> cd myDirectoryName
> put *.fq.gz
3. connect to frontend machine
> ssh -i userName.pem username@10.65.122.170
4. create temporary AWS CLI credentials
> tki
Username: emoryUserName
Password: emoryPassword
Available Duo Authentication Methods: 1. auto
Available Regions: 2. us-east-2
Accept the push/sms/phone call.
This will create AWS CLI credentials valid for 12h (in $HOME/.aws/credentials).
5. change permission of the log file to allow subsequent tki calls
> chmod g+w /mnt/efs/bin/emory-tki/logs/tkiclient.log3. connect to frontend machine
> ssh -i userName.pem username@10.65.122.170
4. create temporary AWS CLI credentials
> tki
Username: emoryUserName
Password: emoryPassword
Available Duo Authentication Methods: 1. auto
Available Regions: 2. us-east-2
Accept the push/sms/phone call.
This will create AWS CLI credentials valid for 12h (in $HOME/.aws/credentials).
5. change permission of the log file to allow subsequent tki calls
6. clone the mRNAseq pipeline
> git clone --branch aws https://github.com/sekalylab/mRNASeq.git
> git clone --branch aws https://github.com/sekalylab/mRNASeq.git
7. launch the mRNASeq pipeline
> bash mRNA.preprocess_master.sh -d /mnt/efs/myDirectoryName
8. download the output files on local machines
> sftp -i userName.pem username@10.65.122.170
> cd /mnt/efs/myDirectoryName
> get *_genecounts
9. empty the EFS storage
> rm -r /mnt/efs/myDirectoryName
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