[{"_1":2,"_3":-5,"_4":-5},"loaderData",{"_5":6,"_7":8,"_9":10},"actionData","errors","root",{"_272":273},"routes/_layout",{"_11":199},"routes/entity.$type.$id",{"_11":12,"_13":14,"_15":16,"_17":18,"_19":20,"_21":22,"_23":24,"_25":26,"_27":28},"dehydratedState",{"_73":74,"_75":76},"type","paper","id","paper_W2107940314","section","authors","entity",{"_15":16,"_29":30,"_31":-5,"_32":-5,"_33":-5,"_34":-5,"_35":36,"_37":38,"_39":-5,"_40":41,"_42":43,"_44":45,"_46":47,"_48":-5,"_49":50,"_51":30,"_52":53,"_54":55,"_56":57,"_58":59,"_60":61,"_18":-5,"_62":63,"_64":65,"_66":67,"_68":30,"_69":-5},"canonical","https://www.hugmap.com/entity/paper/paper_W2107940314/authors","siteBaseUrl","https://www.hugmap.com","sectionCount",5,"jsonLd","{\"@context\":\"https://schema.org\",\"@graph\":[{\"name\":\"circlizeimplements and enhances circular visualization in R\",\"url\":\"https://www.hugmap.com/entity/paper/paper_W2107940314/authors\",\"@type\":\"ScholarlyArticle\",\"headline\":\"circlizeimplements and enhances circular visualization in R\",\"datePublished\":\"2014-06-14\",\"isPartOf\":{\"@type\":\"Periodical\",\"name\":\"Bioinformatics\"}},{\"@type\":\"CollectionPage\",\"name\":\"circlizeimplements and enhances circular visualization in R 作者\",\"description\":\"circlizeimplements and enhances circular visualization in R 在 HugMap 中的作者，共 5 条，含结构化关联信息与详情链接。\",\"url\":\"https://www.hugmap.com/entity/paper/paper_W2107940314/authors\",\"inLanguage\":\"zh-CN\"},{\"@type\":\"BreadcrumbList\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"首页\",\"item\":\"https://www.hugmap.com/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"论文\",\"item\":\"https://www.hugmap.com/search?type=paper\"},{\"@type\":\"ListItem\",\"position\":3,\"name\":\"circlizeimplements and enhances circular visualization in R\",\"item\":\"https://www.hugmap.com/entity/paper/paper_W2107940314\"},{\"@type\":\"ListItem\",\"position\":4,\"name\":\"作者\",\"item\":\"https://www.hugmap.com/entity/paper/paper_W2107940314/authors\"}]}]}","name","circlizeimplements and enhances circular visualization in R","nameZh","aliases","description","descriptionZh","status","active","externalIds","{\"openalex\":\"W2107940314\",\"doi\":\"10.1093/bioinformatics/btu393\"}","properties","source","openalex","createdAt","2026-05-14T01:42:20.226743946","updatedAt","2026-05-21T03:23:22.195562777","doi","10.1093/bioinformatics/btu393","arxivId","openalexId","W2107940314","title","abstractText","SUMMARY: Circular layout is an efficient way for the visualization of huge amounts of genomic information. Here we present the circlize package, which provides an implementation of circular layout generation in R as well as an enhancement of available software. The flexibility of this package is based on the usage of low-level graphics functions such that self-defined high-level graphics can be easily implemented by users for specific purposes. Together with the seamless connection between the powerful computational and visual environment in R, circlize gives users more convenience and freedom to design figures for better understanding genomic patterns behind multi-dimensional data. AVAILABILITY AND IMPLEMENTATION: circlize is available at the Comprehensive R Archive Network (CRAN): http://cran.r-project.org/web/packages/circlize/","publishedDate","2014-06-14","publishedYear",2014,"venue","Bioinformatics","citationCount",4485,"keywords",[70,71,72],"pdfUrl","https://academic.oup.com/bioinformatics/article-pdf/30/19/2811/49872421/bioinformatics_30_19_2811.pdf","topVenue",true,"displayName","displayDescription","Genomics and Phylogenetic Studies","Data Analysis with R","Scientific Computing and Data Management","mutations",[],"queries",[77],{"_78":79,"_80":81,"_82":83,"_84":85},"dehydratedAt",1780578673739,"state",{"_87":88,"_89":90,"_91":79,"_92":-5,"_93":94,"_95":94,"_96":94,"_97":-5,"_98":-5,"_99":100,"_35":101,"_102":103},"queryKey",[86,19,14,16],"queryHash","[\"portal\",\"entity\",\"paper\",\"paper_W2107940314\"]","portal","data",{"_19":20,"_104":105,"_106":107,"_108":109,"_110":111,"_112":113,"_18":114},"dataUpdateCount",1,"dataUpdatedAt","error","errorUpdateCount",0,"errorUpdatedAt","fetchFailureCount","fetchFailureReason","fetchMeta","isInvalidated",false,"success","fetchStatus","idle","entityType","Paper","taxonomies",[159,160,161,162],"events",[],"articles",[],"technologies",[],[115,116,117,118,119],{"_15":153,"_29":154,"_31":-5,"_32":-5,"_33":-5,"_34":-5,"_35":36,"_37":155,"_39":-5,"_40":41,"_42":156,"_44":157,"_125":158,"_51":-5,"_127":-5,"_128":-5,"_129":-5,"_60":-5,"_130":-5,"_131":-5,"_132":-5,"_133":-5,"_134":-5,"_68":154,"_69":-5},{"_15":147,"_29":148,"_31":-5,"_32":-5,"_33":-5,"_34":-5,"_35":36,"_37":149,"_39":-5,"_40":41,"_42":150,"_44":151,"_125":152,"_51":-5,"_127":-5,"_128":-5,"_129":-5,"_60":-5,"_130":-5,"_131":-5,"_132":-5,"_133":-5,"_134":-5,"_68":148,"_69":-5},{"_15":141,"_29":142,"_31":-5,"_32":-5,"_33":-5,"_34":-5,"_35":36,"_37":143,"_39":-5,"_40":41,"_42":144,"_44":145,"_125":146,"_51":-5,"_127":-5,"_128":-5,"_129":-5,"_60":-5,"_130":-5,"_131":-5,"_132":-5,"_133":-5,"_134":-5,"_68":142,"_69":-5},{"_15":135,"_29":136,"_31":-5,"_32":-5,"_33":-5,"_34":-5,"_35":36,"_37":137,"_39":-5,"_40":41,"_42":138,"_44":139,"_125":140,"_51":-5,"_127":-5,"_128":-5,"_129":-5,"_60":-5,"_130":-5,"_131":-5,"_132":-5,"_133":-5,"_134":-5,"_68":136,"_69":-5},{"_15":120,"_29":121,"_31":-5,"_32":-5,"_33":-5,"_34":-5,"_35":36,"_37":122,"_39":-5,"_40":41,"_42":123,"_44":124,"_125":126,"_51":-5,"_127":-5,"_128":-5,"_129":-5,"_60":-5,"_130":-5,"_131":-5,"_132":-5,"_133":-5,"_134":-5,"_68":121,"_69":-5},"person_A5046801770","Zuguang Gu","{\"openalex\":\"A5046801770\",\"orcid\":\"0000-0002-7395-8709\"}","2026-05-14T01:42:20.246711899","2026-05-21T03:23:22.229415744","orcid","0000-0002-7395-8709","affiliation","researchArea","paperCount","homepage","linkedin","twitter","github","hindex","person_A5102884265","Lei Gu","{\"openalex\":\"A5102884265\",\"orcid\":\"0000-0001-6469-9568\"}","2026-05-14T01:42:20.285744749","2026-05-21T03:23:22.327210405","0000-0001-6469-9568","person_A5044191947","Roland Eils","{\"openalex\":\"A5044191947\",\"orcid\":\"0000-0002-0034-4036\"}","2026-05-14T01:42:20.317090872","2026-05-21T03:23:22.35984268","0000-0002-0034-4036","person_A5071523423","Matthias Schlesner","{\"openalex\":\"A5071523423\",\"orcid\":\"0000-0002-5896-4086\"}","2026-05-14T01:42:20.343571121","2026-05-21T03:23:23.223116292","0000-0002-5896-4086","person_A5057450854","Benedikt Brors","{\"openalex\":\"A5057450854\",\"orcid\":\"0000-0001-5940-3101\"}","2026-05-14T01:42:20.369556159","2026-05-21T03:23:23.27748028","0000-0001-5940-3101",{"_15":192,"_29":193,"_31":-5,"_32":-5,"_33":194,"_34":-5,"_35":36,"_37":-5,"_39":-5,"_40":195,"_42":-5,"_44":-5,"_167":196,"_169":-5,"_170":90,"_172":197,"_174":198,"_176":94,"_177":100,"_178":94,"_179":-5,"_68":193,"_69":194},{"_15":186,"_29":71,"_31":-5,"_32":-5,"_33":-5,"_34":-5,"_35":36,"_37":187,"_39":-5,"_40":41,"_42":188,"_44":189,"_167":168,"_169":-5,"_170":171,"_172":190,"_174":191,"_176":94,"_177":67,"_178":94,"_179":-5,"_68":71,"_69":-5},{"_15":180,"_29":70,"_31":-5,"_32":-5,"_33":-5,"_34":-5,"_35":36,"_37":181,"_39":-5,"_40":41,"_42":182,"_44":183,"_167":168,"_169":-5,"_170":171,"_172":184,"_174":185,"_176":94,"_177":67,"_178":94,"_179":-5,"_68":70,"_69":-5},{"_15":163,"_29":72,"_31":-5,"_32":-5,"_33":-5,"_34":-5,"_35":36,"_37":164,"_39":-5,"_40":41,"_42":165,"_44":166,"_167":168,"_169":-5,"_170":171,"_172":173,"_174":175,"_176":94,"_177":67,"_178":94,"_179":-5,"_68":72,"_69":-5},"tax_rd_T11986","{\"openalex_topic\":\"T11986\"}","2026-05-14T00:29:03.345489766","2026-05-23T12:35:41.272774743","taxonomyType","RESEARCH_DOMAIN","code","level",3,"parentId","tax_rd_1802","path","Social Sciences/Decision Sciences/Information Systems and Management/Scientific Computing and Data Management","sortOrder","isLeaf","entityCount","children","tax_rd_T10015","{\"openalex_topic\":\"T10015\"}","2026-05-14T00:27:39.470917453","2026-05-23T12:19:36.228027873","tax_rd_1312","Life Sciences/Biochemistry, Genetics and Molecular Biology/Molecular Biology/Genomics and Phylogenetic Studies","tax_rd_T13398","{\"openalex_topic\":\"T13398\"}","2026-05-14T00:27:24.221735622","2026-05-23T11:42:18.18392018","tax_rd_1702","Physical Sciences/Computer Science/Artificial Intelligence/Data Analysis with R","tax_ind_biotech","生物科技","Biotech","manual","INDUSTRY","tax_ind_root","科技行业/生物科技",{"_73":200,"_75":201},[],[202],{"_78":203,"_80":204,"_82":205,"_84":206},1780578671013,{"_87":208,"_89":90,"_91":203,"_92":-5,"_93":94,"_95":94,"_96":94,"_97":-5,"_98":-5,"_99":100,"_35":101,"_102":103},[86,207],"[\"portal\",\"industries\"]","industries",[209,210,211,212,213,214,215,216,217,218,219,220],{"_15":265,"_29":266,"_31":-5,"_32":267,"_33":268,"_34":-5,"_35":36,"_37":-5,"_39":-5,"_40":195,"_42":-5,"_44":-5,"_167":196,"_169":-5,"_170":90,"_172":197,"_174":269,"_176":94,"_177":100,"_178":94,"_179":-5,"_68":266,"_69":268},{"_15":261,"_29":262,"_31":-5,"_32":-5,"_33":263,"_34":-5,"_35":36,"_37":-5,"_39":-5,"_40":195,"_42":-5,"_44":-5,"_167":196,"_169":-5,"_170":90,"_172":197,"_174":264,"_176":94,"_177":100,"_178":94,"_179":-5,"_68":262,"_69":263},{"_15":255,"_29":256,"_31":-5,"_32":257,"_33":258,"_34":-5,"_35":36,"_37":-5,"_39":-5,"_40":195,"_42":-5,"_44":-5,"_167":196,"_169":-5,"_170":90,"_172":197,"_174":259,"_176":94,"_177":100,"_178":94,"_179":-5,"_68":256,"_69":258},{"_15":251,"_29":252,"_31":-5,"_32":-5,"_33":253,"_34":-5,"_35":36,"_37":-5,"_39":-5,"_40":195,"_42":-5,"_44":-5,"_167":196,"_169":-5,"_170":90,"_172":197,"_174":254,"_176":94,"_177":100,"_178":94,"_179":-5,"_68":252,"_69":253},{"_15":247,"_29":248,"_31":-5,"_32":-5,"_33":249,"_34":-5,"_35":36,"_37":-5,"_39":-5,"_40":195,"_42":-5,"_44":-5,"_167":196,"_169":-5,"_170":90,"_172":197,"_174":250,"_176":94,"_177":100,"_178":94,"_179":-5,"_68":248,"_69":249},{"_15":241,"_29":242,"_31":-5,"_32":243,"_33":244,"_34":-5,"_35":36,"_37":-5,"_39":-5,"_40":195,"_42":-5,"_44":-5,"_167":196,"_169":-5,"_170":90,"_172":197,"_174":245,"_176":94,"_177":100,"_178":94,"_179":-5,"_68":242,"_69":244},{"_15":237,"_29":238,"_31":-5,"_32":-5,"_33":239,"_34":-5,"_35":36,"_37":-5,"_39":-5,"_40":195,"_42":-5,"_44":-5,"_167":196,"_169":-5,"_170":90,"_172":197,"_174":240,"_176":94,"_177":67,"_178":94,"_179":-5,"_68":238,"_69":239},{"_15":192,"_29":193,"_31":-5,"_32":-5,"_33":194,"_34":-5,"_35":36,"_37":-5,"_39":-5,"_40":195,"_42":-5,"_44":-5,"_167":196,"_169":-5,"_170":90,"_172":197,"_174":198,"_176":94,"_177":100,"_178":94,"_179":-5,"_68":193,"_69":194},{"_15":233,"_29":234,"_31":-5,"_32":-5,"_33":235,"_34":-5,"_35":36,"_37":-5,"_39":-5,"_40":195,"_42":-5,"_44":-5,"_167":196,"_169":-5,"_170":90,"_172":197,"_174":236,"_176":94,"_177":100,"_178":94,"_179":-5,"_68":234,"_69":235},{"_15":229,"_29":230,"_31":-5,"_32":-5,"_33":231,"_34":-5,"_35":36,"_37":-5,"_39":-5,"_40":195,"_42":-5,"_44":-5,"_167":196,"_169":-5,"_170":90,"_172":197,"_174":232,"_176":94,"_177":100,"_178":94,"_179":-5,"_68":230,"_69":231},{"_15":225,"_29":226,"_31":-5,"_32":-5,"_33":227,"_34":-5,"_35":36,"_37":-5,"_39":-5,"_40":195,"_42":-5,"_44":-5,"_167":196,"_169":-5,"_170":90,"_172":197,"_174":228,"_176":94,"_177":100,"_178":94,"_179":-5,"_68":226,"_69":227},{"_15":221,"_29":222,"_31":-5,"_32":-5,"_33":223,"_34":-5,"_35":36,"_37":-5,"_39":-5,"_40":195,"_42":-5,"_44":-5,"_167":196,"_169":-5,"_170":90,"_172":197,"_174":224,"_176":94,"_177":100,"_178":94,"_179":-5,"_68":222,"_69":223},"tax_ind_smartphone","智能手机","Smartphone","科技行业/智能手机","tax_ind_robot","机器人","Robotics","科技行业/机器人","tax_ind_wearable","智能穿戴","Smart Wearables","科技行业/智能穿戴","tax_ind_energy","新能源与智能制造","New Energy & Smart Manufacturing","科技行业/新能源与智能制造","tax_ind_quantum","量子计算","Quantum Computing","科技行业/量子计算","tax_ind_blockchain","区块链",[246],"Blockchain","科技行业/区块链","Web3","tax_ind_enterprise","企业软件","Enterprise Software","科技行业/企业软件","tax_ind_security","网络安全","Cybersecurity","科技行业/网络安全","tax_ind_semi","半导体",[260],"Semiconductor","科技行业/半导体","芯片","tax_ind_cloud","云计算","Cloud Computing","科技行业/云计算","tax_ind_ai","人工智能",[270,271],"Artificial Intelligence","科技行业/人工智能","AI","AI 技术","env",{"_274":24},"SITE_BASE_URL"]

<i>circlize</i>implements and enhances circular visualization in R 论文

<i>circlize</i>implements and enhances circular visualization in R · 作者