{"_id":"57fd04b94002550e004c047d","githubsync":"","project":"5773dcfc255e820e00e1cd4d","__v":1,"parentDoc":null,"user":"5613e4f8fdd08f2b00437620","version":{"_id":"5773dcfc255e820e00e1cd50","__v":27,"project":"5773dcfc255e820e00e1cd4d","createdAt":"2016-06-29T14:36:44.812Z","releaseDate":"2016-06-29T14:36:44.812Z","categories":["5773dcfc255e820e00e1cd51","5773df36904b0c0e00ef05ff","577baf92451b1e0e006075ac","577bb183b7ee4a0e007c4e8d","577ce77a1cf3cb0e0048e5ea","577d11865fd4de0e00cc3dab","578e62792c3c790e00937597","578f4fd98335ca0e006d5c84","578f5e5c3d04570e00976ebb","57bc35f7531e000e0075d118","57f801b3760f3a1700219ebb","5804d55d1642890f00803623","581c8d55c0dc651900aa9350","589dcf8ba8c63b3b00c3704f","594cebadd8a2f7001b0b53b2","59a562f46a5d8c00238e309a","5a2aa096e25025003c582b58","5a2e79566c771d003ca0acd4","5a3a5166142db90026f24007","5a3a52b5bcc254001c4bf152","5a3a574a2be213002675c6d2","5a3a66bb2be213002675cb73","5a3a6e4854faf60030b63159","5c8a68278e883901341de571","5cb9971e57bf020024523c7b","5cbf1683e2a36d01d5012ecd","5dc15666a4f788004c5fd7d7"],"is_deprecated":false,"is_hidden":false,"is_beta":false,"is_stable":true,"codename":"","version_clean":"1.0.0","version":"1.0"},"category":{"_id":"57f801b3760f3a1700219ebb","version":"5773dcfc255e820e00e1cd50","__v":0,"project":"5773dcfc255e820e00e1cd4d","sync":{"url":"","isSync":false},"reference":false,"createdAt":"2016-10-07T20:12:35.170Z","from_sync":false,"order":7,"slug":"browse-datasets","title":"Browse public datasets"},"metadata":{"title":"","description":"","image":[]},"updates":[],"next":{"pages":[],"description":""},"createdAt":"2016-10-11T15:26:49.059Z","link_external":false,"link_url":"","sync_unique":"","hidden":false,"api":{"settings":"","results":{"codes":[]},"auth":"required","params":[],"url":""},"isReference":false,"order":12,"body":"[block:callout]\n{\n  \"type\": \"info\",\n  \"body\": \"Seven Bridges is committed to providing Cavatica users with up-to-date versions of the datasets that are available from the NCI Genomic Data Commons (GDC). The currently available version of GDC datasets corresponds to GDC Data Release 18. More information about the data in this release can be found in the [GDC Data Release Notes](https://docs.gdc.cancer.gov/Data/Release_Notes/Data_Release_Notes/#data-release-180). Learn more about our [policies](doc:introduction-to-datasets#section-gdc-datasets-update-policy) regarding updates to the GDC datasets.\"\n}\n[/block]\nThe Data Browser allows you to visually explore [TCGA](http://docs.cancergenomicscloud.org/docs/tcga-data), [Cancer Cell Line Encyclopedia (CCLE)](doc:ccle) data, [TARGET GRCh38 data](doc:target-data), [TCGA GRCh38 data](doc:tcga-grch38-data), and your [Cavatica datasets](doc:datasets-overview) in an interactive way. You can build queries to filter data using [various metadata attributes](http://docs.cancergenomicscloud.org/docs/tcga-metadata-on-the-cgc). You can then add these files to your projects for further analysis.\n[block:callout]\n{\n  \"type\": \"warning\",\n  \"title\": \"On this page:\",\n  \"body\": \"* [Access the Data Browser ](#section-access-the-data-browser) \\n* [The Data Browser features ](#section-the-data-browser-features)\\n * [Dataset name](#section-dataset-name)\\n * [Query name](#section-query-name) \\n * [Queries](#section-queries)\\n * [Save Query](#section-save-query)\\n * [The Search box](#section-the-search-box)\\n * [Count](#section-count)\\n * [Clear All](#section-clear-all)\\n * [Copy files to project](#section-copy-files-to-project)\"\n}\n[/block]\n\n[block:image]\n{\n  \"images\": [\n    {}\n  ]\n}\n[/block]\n##Access the Data Browser\n\nTo access the Data Browser , click **Data** on the top navigation bar. Then, select **Data Browser**.\n[block:image]\n{\n  \"images\": [\n    {\n      \"caption\": \"\",\n      \"image\": [\n        \"https://files.readme.io/78437ec-Screen_Shot_2016-09-29_at_11.45.40_AM.png\",\n        \"Screen Shot 2016-09-29 at 11.45.40 AM.png\",\n        216,\n        134,\n        \"#eef5f5\"\n      ],\n      \"sizing\": \"smart\",\n      \"border\": true\n    }\n  ]\n}\n[/block]\nYou'll be taken to the Data Browser, as shown below.\n[block:image]\n{\n  \"images\": [\n    {\n      \"image\": [\n        \"https://files.readme.io/443f90a-cavatica-data-browser.png\",\n        \"cavatica-data-browser.png\",\n        1094,\n        898,\n        \"#f0f0f1\"\n      ],\n      \"border\": true\n    }\n  ]\n}\n[/block]\nOnce you select your dataset, you will see the following screen, which displays the entities from which you can start your query. Learn more about [metadata for datasets on Cavatica](Introduction to datasets).\n\nIf you select TCGA GRCh38, you'll see the screen below. Note that while all users can query TCGA data via the Data Browser, Cavatica must first authenticate your TCGA access permissions with dbGaP before you can use or download TCGA data. The banner above the Data Browser links to your **Account Settings**, where you can learn more about [registering for an account to access TCGA data](tcga-data-access#section-authenticate).\n[block:image]\n{\n  \"images\": [\n    {\n      \"image\": [\n        \"https://files.readme.io/e61efe5-the-data-browser.png\",\n        \"the-data-browser.png\",\n        1286,\n        732,\n        \"#fafafa\"\n      ]\n    }\n  ]\n}\n[/block]\nNote that you can check which dataset you're querying by looking for the dataset's name in the upper left corner.\n\nYou can always choose to clear the canvas and start a new query in the alternate dataset by clicking on the dataset's name. Learn more about [switching between datasets](#section-dataset-name) below.\n\n<div align=\"right\"><a href=\"#top\">top</a></div>\n\n##The Data Browser Features \n\nBefore diving into building queries, let's take a look at the** top navigation bar**. \n[block:image]\n{\n  \"images\": [\n    {\n      \"image\": [\n        \"https://files.readme.io/605ac18-cavatica-top-nav-bar.png\",\n        \"cavatica-top-nav-bar.png\",\n        1231,\n        195,\n        \"#2f4555\"\n      ],\n      \"caption\": \"\",\n      \"border\": true\n    }\n  ]\n}\n[/block]\n###Dataset name\n\nYou will see the name of the dataset you are querying on the left side of the top navigation bar. In the image above, you are currently querying the TCGA GRCh38 dataset.\n\nTo clear your canvas and switch to the other dataset, simply click on the visible dataset name. This opens a dialog in which you can select the alternate dataset.\n\n<div align=\"right\"><a href=\"#top\">top</a></div>\n\n###Query name\n\nYou will see your name of your query on the left side of the top navigation bar. This defaults to **New query** if your query is unsaved.\n\n<div align=\"right\"><a href=\"#top\">top</a></div>\n\n###Queries\n\nClick on **Queries** to reveal different actions relating to queries, as shown below.\n[block:image]\n{\n  \"images\": [\n    {\n      \"image\": [\n        \"https://files.readme.io/e888843-cavatica-queries.png\",\n        \"cavatica-queries.png\",\n        584,\n        244,\n        \"#0f3656\"\n      ]\n    }\n  ]\n}\n[/block]\nYou can choose to create a new query by clicking **Create new query**. Or, you can open a previously saved query by clicking** Open existing**. You can also build a query from examples provided by the CGC team by clicking **Examples and templates**. Lastly, you can **Save** new queries or overwrite existing queries.\n\nPlease see below to learn more about [building queries in the Data Browser](#section-queries-on-the-data-browser).\n\n<div align=\"right\"><a href=\"#top\">top</a></div>\n\n###Save Query\n\nYou can save any query you build on the Data Browser. These can be queries you've built using [**Example Queries**](#section-example-queries) or [from scratch](#section-start-from-scratch). Note that empty canvases cannot be saved as queries.\n[block:callout]\n{\n  \"type\": \"success\",\n  \"body\": \"Note that this feature is still in BETA, and we will continue to make improvements.\"\n}\n[/block]\nTo save a query:\n1. Click **Queries** on the top of the Data Browser canvas.\n2. Select **Save** from the drop-down menu.\n3. In the pop-up window which appears, you can name your query, as shown below. Click **Add description** to add a brief description of your query.\n[block:image]\n{\n  \"images\": [\n    {\n      \"image\": [\n        \"https://files.readme.io/6996457-save-a-query.png\",\n        \"save-a-query.png\",\n        480,\n        231,\n        \"#e9ebeb\"\n      ]\n    }\n  ]\n}\n[/block]\n4. Then, click **Save Query**.\n[block:callout]\n{\n  \"type\": \"info\",\n  \"body\": \"If you are saving a previously saved query, you'll see a checkbox giving you the option to save as a new query.\"\n}\n[/block]\nAll saved queries can be accessed by selecting **Existing queries** from the **Queries** drop-down menu. Learn more about [accessing Existing queries](#section-existing-queries).\n\n<div align=\"right\"><a href=\"#top\">top</a></div>\n\n###The Search Box \n\nClick on **Search by ID** to reveal the search box. The search box allows you to search by UUID, ID (TCGA Barcodes), or file name.\n[block:image]\n{\n  \"images\": [\n    {\n      \"image\": [\n        \"https://files.readme.io/f5bdcc1-search-by-id.png\",\n        \"search-by-id.png\",\n        478,\n        271,\n        \"#e7e7e7\"\n      ],\n      \"caption\": \"\",\n      \"sizing\": \"80\",\n      \"border\": true\n    }\n  ]\n}\n[/block]\nYou can enter more than one UUID, ID (TCGA Barcode), or file name (separated by commas) into the search box and click **Search**. This populates the Data Browser with a query. For instance, you can search for **TCGA-OR-A5JW-01A-11D-A29I-10_Illumina.bam.bai**.\n\nThis populates the Data Browser with a query starting from a **File** node containing **TCGA-OR-A5JW-01A-11D-A29I-10_Illumina.bam.bai**. You can use this as the starting point of your query.\n[block:image]\n{\n  \"images\": [\n    {\n      \"image\": [\n        \"https://files.readme.io/MUrAQGY2QdiUSIXMNaou_Screen%20Shot%202016-05-25%20at%205.07.40%20PM.jpeg\",\n        \"Screen Shot 2016-05-25 at 5.07.40 PM.jpeg\",\n        \"2686\",\n        \"1456\",\n        \"#307950\",\n        \"\"\n      ]\n    }\n  ]\n}\n[/block]\nNote: if you mix two types of search terms (such a UUID and file name), you will be asked to choose one, as shown below.\n[block:image]\n{\n  \"images\": [\n    {\n      \"image\": [\n        \"https://files.readme.io/vpyEY0rcRNThLeYFc9el_Screen%20Shot%202016-05-10%20at%204.38.56%20PM.jpeg\",\n        \"Screen Shot 2016-05-10 at 4.38.56 PM.jpeg\",\n        \"1078\",\n        \"548\",\n        \"#28a366\",\n        \"\"\n      ]\n    }\n  ]\n}\n[/block]\n<div align=\"right\"><a href=\"#top\">top</a></div>\n\n###Count\n\nThe Count feature allows you to see the scope of the data returned by your query.\n\nWhen you create a node, a count card displaying the entity name and number of instances for that entity appears at the bottom of the page. For example, the count card for the **Case** node shows how many cases are returned by your query.\n[block:image]\n{\n  \"images\": [\n    {\n      \"image\": [\n        \"https://files.readme.io/LVkmi6mFTf3ZLkRDDRnG_Screen%20Shot%202016-05-25%20at%205.11.34%20PM.jpeg\",\n        \"Screen Shot 2016-05-25 at 5.11.34 PM.jpeg\",\n        \"338\",\n        \"176\",\n        \"#e35453\",\n        \"\"\n      ],\n      \"caption\": \"\",\n      \"border\": true,\n      \"sizing\": \"80\"\n    }\n  ]\n}\n[/block]\nThe number of entities returned will change as you add further filters to your query. The count cards at the bottom of the page will gray out to let you know the represented quantities need to be refreshed. \n\nClick the refresh button next to the count cards to refresh the number of items returned by your query.\n\n<div align=\"right\"><a href=\"#top\">top</a></div>\n\n###Clear All\nThe trash can icon on the canvas acts a the \"clear all\" button. It allows you to delete all previous queries and opens a new query canvas. \n\n<div align=\"right\"><a href=\"#top\">top</a></div>\n\n###Copy files to project\nThe **+Copy files to project** button allows you to copy files from your query to your desired project.\n\nTo copy files to a project:\n1. First, [populate the Data Browser with a query](#section-queries-on-the-data-browser), as shown below.\n[block:image]\n{\n  \"images\": [\n    {\n      \"image\": [\n        \"https://files.readme.io/MrpTLeLRYatcIvrLkMCR_Screen%20Shot%202016-06-10%20at%203.46.44%20PM.jpeg\",\n        \"Screen Shot 2016-06-10 at 3.46.44 PM.jpeg\",\n        \"1460\",\n        \"873\",\n        \"#9b51b1\",\n        \"\"\n      ]\n    }\n  ]\n}\n[/block]\n2. Click on the **File** node, as shown above, to select the associated files. In the example above, clicking on the node labelled **File** selects files for cases with a **Disease Type** of Prostate Adenocarcinoma, an **Access Level** of TCGA Controlled Data, an **Experimental Strategy** of WXS, and a **Data Format** of BAM.\n\n3. Once you've selected your desired files, click **+Copy files to project**. \n[block:callout]\n{\n  \"type\": \"info\",\n  \"body\": \"If you have nothing selected on the canvas, the **File** node with the lowest number will be automatically selected. For example, if you have three file nodes, named **File**, **File1**, and **File2**, the node named **File** will be automatically selected.\"\n}\n[/block]\n4. At this point, you will either be able access the data right away, or you'll be redirected for further authentication based on the type of data you are trying to access. While you can access CCLE data via the Data Browser right away, you will [need to be authenticated](tcga-data-access#section-authenticate) before you can access TCGA data.\n5. A pop-up will appear to confirm the **File** node you selected (or, the node automatically chosen if you have no selected nodes). \n6. Select a project to import your files from the drop-down menu.\n7. Once the files are imported, you will get a message on how many files have been successfully imported.\n[block:callout]\n{\n  \"type\": \"success\",\n  \"title\": \"Copy files from more than one File node\",\n  \"body\": \"You can only copy files from one **File** node at a time. To copy files from more than one **File** node, you have to perform steps 2 through 4 once for each node.  \\n\\nFor instance, if you wanted to copy files from both the **File** node and the **File1** node in the query used for this example, you have to go through steps 2 through 4 twice. First, select the **File** node, check the table, and click **+Copy files to project**. Then, select the **File1** node, check the table, and click **+Copy files to project**.\"\n}\n[/block]\n\n<div align=\"right\"><a href=\"#top\">top</a></div>","excerpt":"","slug":"the-data-browser","type":"basic","title":"The Data Browser"}
[block:callout] { "type": "info", "body": "Seven Bridges is committed to providing Cavatica users with up-to-date versions of the datasets that are available from the NCI Genomic Data Commons (GDC). The currently available version of GDC datasets corresponds to GDC Data Release 18. More information about the data in this release can be found in the [GDC Data Release Notes](https://docs.gdc.cancer.gov/Data/Release_Notes/Data_Release_Notes/#data-release-180). Learn more about our [policies](doc:introduction-to-datasets#section-gdc-datasets-update-policy) regarding updates to the GDC datasets." } [/block] The Data Browser allows you to visually explore [TCGA](http://docs.cancergenomicscloud.org/docs/tcga-data), [Cancer Cell Line Encyclopedia (CCLE)](doc:ccle) data, [TARGET GRCh38 data](doc:target-data), [TCGA GRCh38 data](doc:tcga-grch38-data), and your [Cavatica datasets](doc:datasets-overview) in an interactive way. You can build queries to filter data using [various metadata attributes](http://docs.cancergenomicscloud.org/docs/tcga-metadata-on-the-cgc). You can then add these files to your projects for further analysis. [block:callout] { "type": "warning", "title": "On this page:", "body": "* [Access the Data Browser ](#section-access-the-data-browser) \n* [The Data Browser features ](#section-the-data-browser-features)\n * [Dataset name](#section-dataset-name)\n * [Query name](#section-query-name) \n * [Queries](#section-queries)\n * [Save Query](#section-save-query)\n * [The Search box](#section-the-search-box)\n * [Count](#section-count)\n * [Clear All](#section-clear-all)\n * [Copy files to project](#section-copy-files-to-project)" } [/block] [block:image] { "images": [ {} ] } [/block] ##Access the Data Browser To access the Data Browser , click **Data** on the top navigation bar. Then, select **Data Browser**. [block:image] { "images": [ { "caption": "", "image": [ "https://files.readme.io/78437ec-Screen_Shot_2016-09-29_at_11.45.40_AM.png", "Screen Shot 2016-09-29 at 11.45.40 AM.png", 216, 134, "#eef5f5" ], "sizing": "smart", "border": true } ] } [/block] You'll be taken to the Data Browser, as shown below. [block:image] { "images": [ { "image": [ "https://files.readme.io/443f90a-cavatica-data-browser.png", "cavatica-data-browser.png", 1094, 898, "#f0f0f1" ], "border": true } ] } [/block] Once you select your dataset, you will see the following screen, which displays the entities from which you can start your query. Learn more about [metadata for datasets on Cavatica](Introduction to datasets). If you select TCGA GRCh38, you'll see the screen below. Note that while all users can query TCGA data via the Data Browser, Cavatica must first authenticate your TCGA access permissions with dbGaP before you can use or download TCGA data. The banner above the Data Browser links to your **Account Settings**, where you can learn more about [registering for an account to access TCGA data](tcga-data-access#section-authenticate). [block:image] { "images": [ { "image": [ "https://files.readme.io/e61efe5-the-data-browser.png", "the-data-browser.png", 1286, 732, "#fafafa" ] } ] } [/block] Note that you can check which dataset you're querying by looking for the dataset's name in the upper left corner. You can always choose to clear the canvas and start a new query in the alternate dataset by clicking on the dataset's name. Learn more about [switching between datasets](#section-dataset-name) below. <div align="right"><a href="#top">top</a></div> ##The Data Browser Features Before diving into building queries, let's take a look at the** top navigation bar**. [block:image] { "images": [ { "image": [ "https://files.readme.io/605ac18-cavatica-top-nav-bar.png", "cavatica-top-nav-bar.png", 1231, 195, "#2f4555" ], "caption": "", "border": true } ] } [/block] ###Dataset name You will see the name of the dataset you are querying on the left side of the top navigation bar. In the image above, you are currently querying the TCGA GRCh38 dataset. To clear your canvas and switch to the other dataset, simply click on the visible dataset name. This opens a dialog in which you can select the alternate dataset. <div align="right"><a href="#top">top</a></div> ###Query name You will see your name of your query on the left side of the top navigation bar. This defaults to **New query** if your query is unsaved. <div align="right"><a href="#top">top</a></div> ###Queries Click on **Queries** to reveal different actions relating to queries, as shown below. [block:image] { "images": [ { "image": [ "https://files.readme.io/e888843-cavatica-queries.png", "cavatica-queries.png", 584, 244, "#0f3656" ] } ] } [/block] You can choose to create a new query by clicking **Create new query**. Or, you can open a previously saved query by clicking** Open existing**. You can also build a query from examples provided by the CGC team by clicking **Examples and templates**. Lastly, you can **Save** new queries or overwrite existing queries. Please see below to learn more about [building queries in the Data Browser](#section-queries-on-the-data-browser). <div align="right"><a href="#top">top</a></div> ###Save Query You can save any query you build on the Data Browser. These can be queries you've built using [**Example Queries**](#section-example-queries) or [from scratch](#section-start-from-scratch). Note that empty canvases cannot be saved as queries. [block:callout] { "type": "success", "body": "Note that this feature is still in BETA, and we will continue to make improvements." } [/block] To save a query: 1. Click **Queries** on the top of the Data Browser canvas. 2. Select **Save** from the drop-down menu. 3. In the pop-up window which appears, you can name your query, as shown below. Click **Add description** to add a brief description of your query. [block:image] { "images": [ { "image": [ "https://files.readme.io/6996457-save-a-query.png", "save-a-query.png", 480, 231, "#e9ebeb" ] } ] } [/block] 4. Then, click **Save Query**. [block:callout] { "type": "info", "body": "If you are saving a previously saved query, you'll see a checkbox giving you the option to save as a new query." } [/block] All saved queries can be accessed by selecting **Existing queries** from the **Queries** drop-down menu. Learn more about [accessing Existing queries](#section-existing-queries). <div align="right"><a href="#top">top</a></div> ###The Search Box Click on **Search by ID** to reveal the search box. The search box allows you to search by UUID, ID (TCGA Barcodes), or file name. [block:image] { "images": [ { "image": [ "https://files.readme.io/f5bdcc1-search-by-id.png", "search-by-id.png", 478, 271, "#e7e7e7" ], "caption": "", "sizing": "80", "border": true } ] } [/block] You can enter more than one UUID, ID (TCGA Barcode), or file name (separated by commas) into the search box and click **Search**. This populates the Data Browser with a query. For instance, you can search for **TCGA-OR-A5JW-01A-11D-A29I-10_Illumina.bam.bai**. This populates the Data Browser with a query starting from a **File** node containing **TCGA-OR-A5JW-01A-11D-A29I-10_Illumina.bam.bai**. You can use this as the starting point of your query. [block:image] { "images": [ { "image": [ "https://files.readme.io/MUrAQGY2QdiUSIXMNaou_Screen%20Shot%202016-05-25%20at%205.07.40%20PM.jpeg", "Screen Shot 2016-05-25 at 5.07.40 PM.jpeg", "2686", "1456", "#307950", "" ] } ] } [/block] Note: if you mix two types of search terms (such a UUID and file name), you will be asked to choose one, as shown below. [block:image] { "images": [ { "image": [ "https://files.readme.io/vpyEY0rcRNThLeYFc9el_Screen%20Shot%202016-05-10%20at%204.38.56%20PM.jpeg", "Screen Shot 2016-05-10 at 4.38.56 PM.jpeg", "1078", "548", "#28a366", "" ] } ] } [/block] <div align="right"><a href="#top">top</a></div> ###Count The Count feature allows you to see the scope of the data returned by your query. When you create a node, a count card displaying the entity name and number of instances for that entity appears at the bottom of the page. For example, the count card for the **Case** node shows how many cases are returned by your query. [block:image] { "images": [ { "image": [ "https://files.readme.io/LVkmi6mFTf3ZLkRDDRnG_Screen%20Shot%202016-05-25%20at%205.11.34%20PM.jpeg", "Screen Shot 2016-05-25 at 5.11.34 PM.jpeg", "338", "176", "#e35453", "" ], "caption": "", "border": true, "sizing": "80" } ] } [/block] The number of entities returned will change as you add further filters to your query. The count cards at the bottom of the page will gray out to let you know the represented quantities need to be refreshed. Click the refresh button next to the count cards to refresh the number of items returned by your query. <div align="right"><a href="#top">top</a></div> ###Clear All The trash can icon on the canvas acts a the "clear all" button. It allows you to delete all previous queries and opens a new query canvas. <div align="right"><a href="#top">top</a></div> ###Copy files to project The **+Copy files to project** button allows you to copy files from your query to your desired project. To copy files to a project: 1. First, [populate the Data Browser with a query](#section-queries-on-the-data-browser), as shown below. [block:image] { "images": [ { "image": [ "https://files.readme.io/MrpTLeLRYatcIvrLkMCR_Screen%20Shot%202016-06-10%20at%203.46.44%20PM.jpeg", "Screen Shot 2016-06-10 at 3.46.44 PM.jpeg", "1460", "873", "#9b51b1", "" ] } ] } [/block] 2. Click on the **File** node, as shown above, to select the associated files. In the example above, clicking on the node labelled **File** selects files for cases with a **Disease Type** of Prostate Adenocarcinoma, an **Access Level** of TCGA Controlled Data, an **Experimental Strategy** of WXS, and a **Data Format** of BAM. 3. Once you've selected your desired files, click **+Copy files to project**. [block:callout] { "type": "info", "body": "If you have nothing selected on the canvas, the **File** node with the lowest number will be automatically selected. For example, if you have three file nodes, named **File**, **File1**, and **File2**, the node named **File** will be automatically selected." } [/block] 4. At this point, you will either be able access the data right away, or you'll be redirected for further authentication based on the type of data you are trying to access. While you can access CCLE data via the Data Browser right away, you will [need to be authenticated](tcga-data-access#section-authenticate) before you can access TCGA data. 5. A pop-up will appear to confirm the **File** node you selected (or, the node automatically chosen if you have no selected nodes). 6. Select a project to import your files from the drop-down menu. 7. Once the files are imported, you will get a message on how many files have been successfully imported. [block:callout] { "type": "success", "title": "Copy files from more than one File node", "body": "You can only copy files from one **File** node at a time. To copy files from more than one **File** node, you have to perform steps 2 through 4 once for each node. \n\nFor instance, if you wanted to copy files from both the **File** node and the **File1** node in the query used for this example, you have to go through steps 2 through 4 twice. First, select the **File** node, check the table, and click **+Copy files to project**. Then, select the **File1** node, check the table, and click **+Copy files to project**." } [/block] <div align="right"><a href="#top">top</a></div>