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## **Getting Started** <a name="gs"></a>
You can learn a lot of what is possible on AWS in the AWS Getting Started [Tutorials Page](https://aws.amazon.com/getting-started/hands-on/?getting-started-all.sort-by=item.additionalFields.sortOrder&getting-started-all.sort-order=asc&awsf.getting-started-category=*all&awsf.getting-started-level=*all&awsf.getting-started-content-type=*all&awsm.page-getting-started-all=2) and we recommend you go there and explore some of the tutorials on offer. Nonetheless, it can be hard to know where to start if you are new to the cloud. To help you, we thought through some of the most common tasks you will encounter doing cloud-enabled research and gathered tutorials and guides specific to those topics. We hope the following materials are helpful as you explore cloud-based research. For an alternative perspective, you can also check out Lynn Langit's [AWS for Bioinformatics repo](https://github.com/lynnlangit/aws-for-bioinformatics).
You can learn a lot of what is possible on AWS in the AWS Getting Started [Tutorials Page](https://aws.amazon.com/getting-started/hands-on/?getting-started-all.sort-by=item.additionalFields.sortOrder&getting-started-all.sort-order=asc&awsf.getting-started-category=*all&awsf.getting-started-level=*all&awsf.getting-started-content-type=*all&awsm.page-getting-started-all=2) and we recommend you go there and explore some of the tutorials on offer. Nonetheless, it can be hard to know where to start if you are new to the cloud. To help you, we thought through some of the most common tasks you will encounter doing cloud-enabled research and gathered tutorials and guides specific to those topics. We hope the following materials are helpful as you explore cloud-based research. For an alternative perspective, you can also check out Lynn Langit's [AWS for Bioinformatics repo](https://github.com/lynnlangit/aws-for-bioinformatics).

## **Overview** <a name="ov"></a>
There are three primary ways you can run analyses using AWS: using **Virtual Machines**, **Jupyter Notebook instances**, and **Serverless services**. We give a brief overview of each of these here and go into more detail in the sections below. [Virtual machines](https://aws.amazon.com/getting-started/launch-a-virtual-machine-B-0/) are like desktop computers, but you access them through the cloud console and you get to pick the operating system and the specs such as CPU and memory. In AWS, these virtual machines are called Elastic Compute Cloud or EC2 for short. Jupyter Notebook instances are virtual machines with preconfigured with Jupyter Lab. On AWS these are run through [SageMaker](https://aws.amazon.com/pm/sagemaker/?trk=8987dd52-6f33-407a-b89b-a7ba025c913c&sc_channel=ps&sc_campaign=acquisition&sc_medium=ACQ-P|PS-GO|Brand|Desktop|SU|Machine%20Learning|Sagemaker|US|EN|Text&s_kwcid=AL!4422!3!532502995192!e!!g!!aws%20sagemaker&ef_id=CjwKCAjw7IeUBhBbEiwADhiEMfXNyIY5DZB4FG17gZcXYycBpN1lNPRNfXdxWP9NhTY_t_IrAmEiIhoCIqwQAvD_BwE:G:s&s_kwcid=AL!4422!3!532502995192!e!!g!!aws%20sagemaker), which is also AWS's ML/AI platform. You decide what kind of virtual machine you want to 'spin up' and then you can run Juptyer notebooks on that virtual machine. Finally, Serverless services are services that allow you to run things, an analysis, an app, a website, and not have to deal with your own servers (VMs). There are still servers running somewhere, you just don't have to manage them. All you have to do is call a command that runs your analysis in the background, and then see the outputs usually in a storage bucket.
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![initial nih login page](/docs/images/1_NIH_login.png)

3. Search for and select your University. If you University is listed, continue to `Registering with your University Account`. If your University is not listed, skip ahead to `Login with Login.gov`.
3. Search for and select your University. If you University is listed, continue to `Registering with your University Account`. If your University is not listed, skip ahead to ![Login with Login.gov](#Option-2–Registering-with-Login.gov).

Option 1 – Registering with a University Account

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![Grant Access](/docs/images/3_grant_access.png)

7. Fill out the form. Enter your name, email address, a description of how you plan to use NIH Cloud Lab, and your NIH program officer’s name. Click **Submit** and you are finished. You will receive an email from [email protected] when your credits are ready – typically within a few days.
7. Fill out the form. Enter your name, university email address, a description of how you plan to use NIH Cloud Lab, and your NIH program officer’s name. Click **Submit** and you are finished. You will receive an email from [email protected] when your credits are ready – typically within a few days.

![Final Form](/docs/images/4_final_formv2.png)

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![initial nih login page](/docs/images/1_NIH_login.png)

3. Type in **Login.gov** or **National Science Foundation** (if you have an account with NSF) and follow the prompts to sign in to your account. The images shown here are only for the *login.gov* authentication. If you do not have a Login.gov account, you can create one following [these instructions](https://login.gov/help/get-started/create-your-account/) or the instructions attached to the registration email.
3. Type in **Login.gov** or **National Science Foundation** (if you have an account with NSF) and follow the prompts to sign in to your account. The images shown here are only for the *login.gov* authentication. If you do not have a Login.gov account, you can create one following [these instructions](https://login.gov/help/get-started/create-your-account/) or the instructions attached to the registration email. **Please register using your university email address**

![Sign In Login.gov](/docs/images/6_signin_logingov.png)

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![Grant Access](/docs/images/3_grant_access.png)

7. Fill out the form. You won't be able to enter your name, and your email will be pre-populated. Enter a description of how you plan to use NIH Cloud Lab and your NIH program officer’s name. Click **Submit** and you are finished. You will receive an email from [email protected] when your credits are ready – typically within a few days.
7. Fill out the form. You won't be able to enter your name, and your university email will be pre-populated. Enter a description of how you plan to use NIH Cloud Lab and your NIH program officer’s name. Click **Submit** and you are finished. You will receive an email from [email protected] when your credits are ready – typically within a few days.

![Final Form](/docs/images/4_final_formv2.png)

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