Changes

We cannot assist in this step - Amazon has plenty of documentation.

We cannot assist in this step - Amazon has plenty of documentation.

Once you are at the AWS EC2 Console Dashboard, you're ready to run the pipeline.

Once you are at the AWS EC2 Console Dashboard, you're ready to run the pipeline.

'''Launch Your First Instance'''

'''Launch Your First Instance'''

* '''Instance size'''  (memory and number of processors). The pipeline software will require at least 8GB of memory (type m1.large) and can use as many processors as is available.

* '''Instance size'''  (memory and number of processors). The pipeline software will require at least 8GB of memory (type m1.large) and can use as many processors as is available.

* '''Storage''' is perhaps the most difficult detail as it is controlled completely by the size of your data. As a generate rule you will need three times the space required for your sequence data. For instance in the 1000 Genomes data, the data for one individual takes about 45G. If you have 1000 Genome data for nine individuals, you'll need about 1500GB of space

* '''Storage''' for the instance refers to the size for root (/) partition. This can be quite small, as little as 8GB should work. Of course if you intend to bring lots of other files/programs to the instance, you may want to increase this to something a bit larger (e.g. 30GB).

(9x450x3 plus a little extra space).

 

 

 

 

 

is perhaps the most difficult detail as it is controlled completely by the size of your data. As a generate rule you will need three times the space required for your sequence data. For instance in the 1000 Genomes data, the data for one individual takes about 45G. If you have 1000 Genome data for nine individuals, you'll need about 1500GB of space (9x450x3 plus a little extra space).