[{"data":1,"prerenderedAt":546},["ShallowReactive",2],{"navigation":3,"/visualization-community/proteinpaint/stratifying-mutations-by-cancer-subtype":421,"/visualization-community/proteinpaint/stratifying-mutations-by-cancer-subtype-surround":542},[4,19,25,131,197],{"title":5,"_path":6,"children":7,"icon":18},"Overview","/overview",[8,9,12,15],{"title":5,"_path":6},{"title":10,"_path":11},"About our Ecosystem","/overview/ecosystem",{"title":13,"_path":14},"Citing St. Jude Cloud","/overview/citing-stjude-cloud",{"title":16,"_path":17},"Frequently Asked Questions","/overview/faq","sjc-icon:child-logo",{"title":20,"_path":21,"children":22,"icon":24},"CC4K","/cc4k",[23],{"title":5,"_path":21},"sjc-icon:ontology-tree",{"title":26,"_path":27,"children":28,"icon":130},"Genomics Platform","/genomics-platform",[29,49,62,80,99],{"title":30,"_path":31,"children":32},"Getting Started","/genomics-platform/getting-started",[33,35,38,41,44,46],{"title":5,"_path":34},"/genomics-platform/getting-started/overview",{"title":36,"_path":37},"Accounts and Billing","/genomics-platform/getting-started/accounts-and-billing",{"title":39,"_path":40},"Making a Data Request","/genomics-platform/getting-started/making-a-data-request",{"title":42,"_path":43},"Filling Out the DAA","/genomics-platform/getting-started/filling-out-the-daa",{"title":16,"_path":45},"/genomics-platform/getting-started/faq",{"title":47,"_path":48},"Glossary","/genomics-platform/getting-started/glossary",{"title":50,"_path":51,"children":52},"About Our Data","/genomics-platform/about-our-data",[53,56,59],{"title":54,"_path":55},"Data Sets and Data Access Units","/genomics-platform/about-our-data/data-sets-and-data-access-units",{"title":57,"_path":58},"File Formats and Sequencing Information","/genomics-platform/about-our-data/file-formats-and-sequencing-information",{"title":60,"_path":61},"Metadata and Clinical Information","/genomics-platform/about-our-data/metadata-and-clinical-information",{"title":63,"_path":64,"children":65},"Managing Data","/genomics-platform/managing-data",[66,68,71,74,77],{"title":5,"_path":67},"/genomics-platform/managing-data/overview",{"title":69,"_path":70},"Upload/Download Data (Local)","/genomics-platform/managing-data/upload-download-data-local",{"title":72,"_path":73},"Upload/Download Data (Cluster)","/genomics-platform/managing-data/upload-download-data-cluster",{"title":75,"_path":76},"Upload/Download Data (DNAnexus)","/genomics-platform/managing-data/upload-download-data-dnanexus",{"title":78,"_path":79},"Renewing Your DAA","/genomics-platform/managing-data/renewing-your-daa",{"title":81,"_path":82,"children":83},"Analyzing Data","/genomics-platform/analyzing-data",[84,87,90,93,96],{"title":85,"_path":86},"Command Line Interaction","/genomics-platform/analyzing-data/command-line-interaction",{"title":88,"_path":89},"Running Our Workflows","/genomics-platform/analyzing-data/running-our-workflows",{"title":91,"_path":92},"Creating a Cloud Application","/genomics-platform/analyzing-data/creating-a-cloud-app",{"title":94,"_path":95},"Interactive Nodes","/genomics-platform/analyzing-data/interactive-nodes",{"title":97,"_path":98},"Visualizing NGS Data","/genomics-platform/analyzing-data/visualizing-ngs-data",{"title":100,"_path":101,"children":102},"Workflow Guides","/genomics-platform/workflow-guides",[103,106,109,112,115,118,121,124,127],{"title":104,"_path":105},"ChIP-Seq Peak Calling","/genomics-platform/workflow-guides/chipseq",{"title":107,"_path":108},"cis-X","/genomics-platform/workflow-guides/cisx",{"title":110,"_path":111},"MethylationToActivity","/genomics-platform/workflow-guides/methylation-to-activity",{"title":113,"_path":114},"Mutational Signatures","/genomics-platform/workflow-guides/mutational-signatures",{"title":116,"_path":117},"Rapid RNA-Seq","/genomics-platform/workflow-guides/rapid-rnaseq",{"title":119,"_path":120},"RNA-Seq Expression Classification","/genomics-platform/workflow-guides/rnaseq-expression-classification",{"title":122,"_path":123},"SEAseq","/genomics-platform/workflow-guides/seaseq",{"title":125,"_path":126},"SequencErr","/genomics-platform/workflow-guides/sequencerr",{"title":128,"_path":129},"WARDEN Differential Gene Expression","/genomics-platform/workflow-guides/warden","sjc-icon:genomics-platform",{"title":132,"_path":133,"children":134,"icon":196},"PeCan","/pecan",[135,149,156,174,181,190],{"title":5,"_path":136,"children":137},"/pecan/overview",[138,140,143,146],{"title":30,"_path":139},"/pecan/overview/getting-started",{"title":141,"_path":142},"Methods and Data","/pecan/overview/methods-and-data",{"title":144,"_path":145},"Videos","/pecan/overview/videos",{"title":147,"_path":148},"FAQ","/pecan/overview/faq",{"title":150,"_path":151,"children":152},"Cohort Building","/pecan/cohort-building",[153],{"title":154,"_path":155},"Create Custom Cohorts","/pecan/cohort-building/cohort-building",{"title":157,"_path":158,"children":159},"Data Facets","/pecan/data-facets",[160,163,165,168,171],{"title":161,"_path":162},"Variants","/pecan/data-facets/variants",{"title":113,"_path":164},"/pecan/data-facets/mutational-signatures",{"title":166,"_path":167},"Expression","/pecan/data-facets/expression",{"title":169,"_path":170},"Histology","/pecan/data-facets/histology",{"title":172,"_path":173},"Use Cases","/pecan/data-facets/use-cases",{"title":175,"_path":176,"children":177},"Accessibility","/pecan/accessibility",[178],{"title":179,"_path":180},"Keyboard Shortcuts","/pecan/accessibility/keyboard-shortcuts",{"title":182,"_path":183,"children":184},"PeCan PIE","/pecan/pecan-pie",[185,188],{"title":186,"_path":187},"What is PIE","/pecan/pecan-pie/what-is-pie",{"title":147,"_path":189},"/pecan/pecan-pie/faq",{"title":191,"_path":192,"children":193},"Release Notes","/pecan/release-notes",[194],{"title":195,"_path":192},"PeCan Release Notes","sjc-icon:pecan",{"title":198,"_path":199,"children":200,"icon":420},"Visualization Community","/visualization-community",[201,215,246,307,411],{"title":5,"_path":202,"children":203},"/visualization-community/overview",[204,207,210,213],{"title":205,"_path":206},"What is Visualization Community","/visualization-community/overview/what-is-visualization-community",{"title":208,"_path":209},"What are ProteinPaint and GenomePaint","/visualization-community/overview/what-are-proteinpaint-and-genome-paint",{"title":211,"_path":212},"Data Types","/visualization-community/overview/data-types-and-graphs",{"title":147,"_path":214},"/visualization-community/overview/faq",{"title":30,"_path":216,"children":217},"/visualization-community/getting-started",[218,220,223,226,229,232,235,238,241,243],{"title":5,"_path":219},"/visualization-community/getting-started/overview",{"title":221,"_path":222},"How to Sign-in","/visualization-community/getting-started/how-to-sign-in",{"title":224,"_path":225},"How to Use the VisEditor","/visualization-community/getting-started/how-to-use-the-viseditor",{"title":227,"_path":228},"Tracks and Apps","/visualization-community/getting-started/tracks-and-apps",{"title":230,"_path":231},"Manage Your Data","/visualization-community/getting-started/manage-your-data",{"title":233,"_path":234},"Collections & Communities","/visualization-community/getting-started/collections-and-communities",{"title":236,"_path":237},"Public vs. Private Visualizations","/visualization-community/getting-started/public-vs-private-visualizations",{"title":239,"_path":240},"Embedding","/visualization-community/getting-started/embedding",{"title":144,"_path":242},"/visualization-community/getting-started/videos",{"title":244,"_path":245},"NEW Data Download","/visualization-community/getting-started/new-data-download",{"title":247,"_path":248,"children":249},"Code Block Library","/visualization-community/code-block-library",[250,253,256,259,262,265,268,271,274,277,280,283,286,289,292,295,298,301,304],{"title":251,"_path":252},"Code Block Basics","/visualization-community/code-block-library/code-block-basics",{"title":254,"_path":255},"Allelic Imbalance","/visualization-community/code-block-library/allelic-imbalance",{"title":257,"_path":258},"Arc","/visualization-community/code-block-library/arc",{"title":260,"_path":261},"BAM","/visualization-community/code-block-library/bam",{"title":263,"_path":264},"BigWig","/visualization-community/code-block-library/bigwig",{"title":266,"_path":267},"BigWig Stranded","/visualization-community/code-block-library/bigwig-stranded",{"title":269,"_path":270},"Expression Rank","/visualization-community/code-block-library/expression-rank",{"title":272,"_path":273},"Hi-C","/visualization-community/code-block-library/hi-c",{"title":275,"_path":276},"Heatmap","/visualization-community/code-block-library/heatmap",{"title":278,"_path":279},"JSON BED","/visualization-community/code-block-library/json-bed",{"title":281,"_path":282},"Lollipop","/visualization-community/code-block-library/lollipop",{"title":284,"_path":285},"MA Volcano","/visualization-community/code-block-library/ma-volcano",{"title":287,"_path":288},"Profile Gene Value","/visualization-community/code-block-library/profile-gene-value",{"title":290,"_path":291},"RNA Splice Junction","/visualization-community/code-block-library/rna-splice-junction",{"title":293,"_path":294},"Single Cell","/visualization-community/code-block-library/single-cell",{"title":296,"_path":297},"Splice Junctions Cohort","/visualization-community/code-block-library/splice-junctions-cohort",{"title":299,"_path":300},"Track List and Facet Table","/visualization-community/code-block-library/track-list-and-facet-table",{"title":302,"_path":303},"t-SNE","/visualization-community/code-block-library/t-sne",{"title":305,"_path":306},"VCF","/visualization-community/code-block-library/vcf",{"title":308,"_path":309,"children":310},"ProteinPaint","/visualization-community/proteinpaint",[311,313,316,318,321,324,327,330,333,336,339,342,345,348,351,354,357,360,363,366,369,372,375,378,381,384,387,390,393,396,399,402,405,408],{"title":308,"_path":312},"/visualization-community/proteinpaint/proteinpaint",{"title":314,"_path":315},"Introduction","/visualization-community/proteinpaint/introduction",{"title":30,"_path":317},"/visualization-community/proteinpaint/getting-started",{"title":319,"_path":320},"Loading Datasets","/visualization-community/proteinpaint/loading-datasets",{"title":322,"_path":323},"Viewing SNV/Indel Mutations","/visualization-community/proteinpaint/viewing-snv-indel-mutations",{"title":325,"_path":326},"Viewing Gene Fusions","/visualization-community/proteinpaint/viewing-gene-fusions",{"title":328,"_path":329},"Viewing Expression Data","/visualization-community/proteinpaint/viewing-expression-data",{"title":331,"_path":332},"Filtering Mutations","/visualization-community/proteinpaint/filtering-mutations",{"title":334,"_path":335},"Exporting Figures and Data","/visualization-community/proteinpaint/exporting-figures-and-data",{"title":337,"_path":338},"Using the Gene Table","/visualization-community/proteinpaint/using-the-gene-table",{"title":340,"_path":341},"Using the Sample Table","/visualization-community/proteinpaint/using-the-sample-table",{"title":343,"_path":344},"Using the Heatmap","/visualization-community/proteinpaint/using-the-heatmap",{"title":346,"_path":347},"Using Disease Pie Charts","/visualization-community/proteinpaint/using-disease-pie-charts",{"title":349,"_path":350},"Stratifying Mutations by Cancer Subtype","/visualization-community/proteinpaint/stratifying-mutations-by-cancer-subtype",{"title":352,"_path":353},"SNV and Indel","/visualization-community/proteinpaint/snv-and-indel",{"title":355,"_path":356},"SV and fusion transcript","/visualization-community/proteinpaint/sv-and-fusion-transcript",{"title":358,"_path":359},"Copy Number Variants","/visualization-community/proteinpaint/copy-number-variants",{"title":361,"_path":362},"Internal tandem duplications","/visualization-community/proteinpaint/internal-tandem-duplications",{"title":364,"_path":365},"Intragenic deletion","/visualization-community/proteinpaint/intragenic-deletion",{"title":367,"_path":368},"Truncation, N-loss, or C-loss","/visualization-community/proteinpaint/truncation",{"title":370,"_path":371},"JSON-BED","/visualization-community/proteinpaint/json-bed",{"title":373,"_path":374},"Splice Junction","/visualization-community/proteinpaint/splice-junction",{"title":376,"_path":377},"Profile-Gene-Value","/visualization-community/proteinpaint/profile-gene-value",{"title":379,"_path":380},"Bampile","/visualization-community/proteinpaint/bampile",{"title":382,"_path":383},"Add Custom Protein Domains","/visualization-community/proteinpaint/add-custom-protein-domains",{"title":385,"_path":386},"Using Custom Tracks","/visualization-community/proteinpaint/using-custom-tracks",{"title":388,"_path":389},"Visualize Your Mutation Data","/visualization-community/proteinpaint/visualize-your-mutation-data",{"title":391,"_path":392},"Loading SNV/Indel Mutations from a File","/visualization-community/proteinpaint/loading-mutations-from-file",{"title":394,"_path":395},"Uploaded Mutation Data User Interface","/visualization-community/proteinpaint/uploaded-mutation-data",{"title":397,"_path":398},"Loading a TCGA MAF File","/visualization-community/proteinpaint/loading-tcga-maf-file",{"title":400,"_path":401},"Using a VCF File","/visualization-community/proteinpaint/using-vcf-file",{"title":403,"_path":404},"Embedding ProteinPaint","/visualization-community/proteinpaint/embedding-proteinpaint",{"title":406,"_path":407},"URL Parameters","/visualization-community/proteinpaint/url-parameters",{"title":409,"_path":410},"Organizing Data into a Study View","/visualization-community/proteinpaint/study-view",{"title":412,"_path":413,"children":414},"GenomePaint","/visualization-community/genomepaint",[415,417],{"title":412,"_path":416},"/visualization-community/genomepaint/genomepaint",{"title":418,"_path":419},"GenomePaint User Guide","/visualization-community/genomepaint/genomepaint-user-guide","sjc-icon:viz",{"_path":350,"_dir":422,"_draft":423,"_partial":423,"_locale":424,"title":349,"description":425,"body":426,"_type":536,"_id":537,"_source":538,"_file":539,"_stem":540,"_extension":541},"proteinpaint",false,"","In the header of the Pediatric data set graph, click on the third button labeled \"Cancer subtype\" to show a menu listing number of mutations in each cancer type and subtype:",{"type":427,"children":428,"toc":533},"root",[429,436,445,458,463,471,476,484,489,494,502,507,515,520,528],{"type":430,"tag":431,"props":432,"children":433},"element","p",{},[434],{"type":435,"value":425},"text",{"type":430,"tag":431,"props":437,"children":438},{},[439],{"type":430,"tag":440,"props":441,"children":444},"img",{"alt":442,"src":443},"image 4","/img/visualization-community/proteinpaint/stratifying-mutations-by-cancer-subtype/image4.png",[],{"type":430,"tag":431,"props":446,"children":447},{},[448,450,456],{"type":435,"value":449},"In above example, \"HGG\" is a type of cancer, with two subtypes named \"DIPG\" and \"Non-BS-HGG\" shown as indented rows.\nThe right-side numbers are the number of ",{"type":430,"tag":451,"props":452,"children":453},"em",{},[454],{"type":435,"value":455},"TP53",{"type":435,"value":457}," mutations in each category.\nFollowing the total number is a breakdown by mutation classes, beginning with the largest class.\nNote that this list of options is generated based on the data for specific protein, and will have different content for another protein.",{"type":430,"tag":431,"props":459,"children":460},{},[461],{"type":435,"value":462},"Choose the option \"HGG\" from above example to show high-grade glioma mutations in a separate graph below the protein:",{"type":430,"tag":431,"props":464,"children":465},{},[466],{"type":430,"tag":440,"props":467,"children":470},{"alt":468,"src":469},"image 6","/img/visualization-community/proteinpaint/stratifying-mutations-by-cancer-subtype/image6.png",[],{"type":430,"tag":431,"props":472,"children":473},{},[474],{"type":435,"value":475},"On the top, a new handle is created for \"Pediatric, HGG\", which can be used to toggle or delete this subset of data:",{"type":430,"tag":431,"props":477,"children":478},{},[479],{"type":430,"tag":440,"props":480,"children":483},{"alt":481,"src":482},"image 5","/img/visualization-community/proteinpaint/stratifying-mutations-by-cancer-subtype/image5.png",[],{"type":430,"tag":431,"props":485,"children":486},{},[487],{"type":435,"value":488},"Click \"X\" on the right of this handle to remove this subset.",{"type":430,"tag":431,"props":490,"children":491},{},[492],{"type":435,"value":493},"A button on the top of cancer subtype list allows creating a sunburst chart for all mutations from the current data set:",{"type":430,"tag":431,"props":495,"children":496},{},[497],{"type":430,"tag":440,"props":498,"children":501},{"alt":499,"src":500},"image 1","/img/visualization-community/proteinpaint/stratifying-mutations-by-cancer-subtype/image1.png",[],{"type":430,"tag":431,"props":503,"children":504},{},[505],{"type":435,"value":506},"COSMIC data can also be stratified in a similar way, but according to tissue types.\nOn the header of COSMIC graph, click the button labeled \"Tissue\" to get a list of tissue types.\nChoose a tissue type and a new graph will be created showing COSMIC mutations for only this tissue type:",{"type":430,"tag":431,"props":508,"children":509},{},[510],{"type":430,"tag":440,"props":511,"children":514},{"alt":512,"src":513},"image 3","/img/visualization-community/proteinpaint/stratifying-mutations-by-cancer-subtype/image3.png",[],{"type":430,"tag":431,"props":516,"children":517},{},[518],{"type":435,"value":519},"Note the new button \"15 not in list\" on the top, as a way to indicate some mutations are not identified by tissue type.\nClick this button to show these mutations:",{"type":430,"tag":431,"props":521,"children":522},{},[523],{"type":430,"tag":440,"props":524,"children":527},{"alt":525,"src":526},"image 2","/img/visualization-community/proteinpaint/stratifying-mutations-by-cancer-subtype/image2.png",[],{"type":430,"tag":431,"props":529,"children":530},{},[531],{"type":435,"value":532},"Note that the \"Primary site\" fields are blank for all these mutations, the reason why they are excluded from the stratification menu.",{"title":424,"searchDepth":534,"depth":534,"links":535},2,[],"markdown","content:5.visualization-community:4.proteinpaint:14.stratifying-mutations-by-cancer-subtype.md","content","5.visualization-community/4.proteinpaint/14.stratifying-mutations-by-cancer-subtype.md","5.visualization-community/4.proteinpaint/14.stratifying-mutations-by-cancer-subtype","md",[543,545],{"_path":347,"title":346,"description":544},"When the uploaded data set stratify samples based on disease categories, pie charts can be made to visualize mutation to a gene or gene set in each disease category.",{"_path":353,"title":352,"description":424},1791243636179]