During the Beta release of the service, each user is granted a quota of 2500 samples for array imputation at no cost, thanks to funding from the NIH. This quota may change in the future. After the Beta release, access to the service will transition to a paid model, with pricing based on the number of samples processed.
To control costs, the imputation service leverages a quota system that manages the the amount a single user can submit per submission. The unit of quota for a pipeline can be samples, variants, bases, etc. You cannot submit data with more quota usage than the quota you have been granted.
For example, the quota unit for Array Imputation is samples. This means if you only have 1000 quota left, you can only do a submission with a maximum of 1000 samples.
Calculating quota for a job
Each submitted job will run a quota check that counts the number of quota unit in the input data. The number of quota units in the input data will be the amount of quota charged for the successful job.
Please be aware: To keep the cost per quota unit consistent, each pipeline has a minimum quota charged per job, even if your input contains fewer quota units than that minimum. The service won't stop you from running fewer quota units, but you'll be charged for whatever the pipeline's minimum quota is.
If a job fails, it does not count against your quota; the service returns your quota to you.
How much quota do you have?
You can check your remaining quota with either the web portal or the CLI:
Web Portal
You can view how much quota you have available in below places after logging into the web portal:
- Navigate to the "Run Job" tab. With a pipeline selected, the "Quota Remaining" widget on the right side of the screen will show you how much quota you've used and how much is left.
- You can also navigate to the Quotas page from the hamburger menu. This will show you how much quota you have available for all pipelines
CLI
Once you have installed the terralab-cli tool, use the terralab quota PIPELINE_NAME command for detailed information about how much quota you’ve used and how much is left. For example:
terralab quota array_imputation |
Purchasing Quota
If you need more quota, there are two ways to purchase it depending on your preferred payment method: you can request a custom quote and pay later, or purchase it directly via self-service.
Requesting a Custom Quote (HubSpot Form)
If you would like to receive a quote or if you plan to pay using a Purchase Order (PO), please complete this HubSpot form. The form will ask for a few basic details, including your name, company or institute, Data Sciences Service account email, the number of samples requested, and whether the quota is for academic or non-profit use, along with a few other standard questions.
This form is also available right inside the web portal. On the Quotas page, simply click Purchase Quota for the pipeline you want, and follow the instructions in the Get Quote First & Pay Later box.
What to expect:
- Once you submit the form, our team will review it within 1-2 business days.
- We will send you a custom quote and you can either pay through Purchase Order or using credit card (through Stripe).
- Once your payment is successful, your quota will be added to your account within 1 business day, and you will receive an email confirmation as soon as it's available.
Self-Service Payment (Stripe)
For a faster, self-service option, you can purchase quota directly using a credit card. Go to the Quotas page in the web portal. Simply click Purchase Quota for the pipeline you want, and follow the instructions in the Get Quote Now & Pay with Credit Card box.
What to expect:
- You will be able to select the quantity of quota you want to purchase in the Stripe form
- You can complete the payment securely through Stripe using a credit card.
- Once your payment is successful, your quota will be added to your account within 1 business day, and you will receive an email confirmation as soon as it's available.
Questions or Refunds?
If you run into any issues during the purchase process, or if you would like to request a refund after a successful payment, please reach out to us at data-science-services-support@broadinstitute.org.
Our team will review your situation and evaluate all refund requests on a case-by-case basis.
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