{"id":333,"date":"2018-01-16T02:26:07","date_gmt":"2018-01-16T02:26:07","guid":{"rendered":"https:\/\/pgx.zju.edu.cn\/tsnadb1\/?page_id=333"},"modified":"2018-09-01T07:32:33","modified_gmt":"2018-09-01T07:32:33","slug":"search","status":"publish","type":"page","link":"https:\/\/pgx.zju.edu.cn\/tsnadb1\/search\/","title":{"rendered":"Search"},"content":{"rendered":"<div id=\"pl-333\"  class=\"panel-layout\" ><div id=\"pg-333-0\"  class=\"panel-grid panel-no-style\" ><div id=\"pgc-333-0-0\"  class=\"panel-grid-cell\" ><div id=\"panel-333-0-0-0\" class=\"so-panel widget widget_sow-editor panel-first-child panel-last-child\" data-index=\"0\" ><div class=\"so-widget-sow-editor so-widget-sow-editor-base\">\n<div class=\"siteorigin-widget-tinymce textwidget\">\n\t<p>For the data of\u00a0 7748 tumor samples from TCGA, we selected\u00a0<strong>18,897 missense mutations<\/strong> (at least three occurrences in all tumor samples) and the <strong>top 100 HLA alleles (0.5%)<\/strong>\u00a0 to predict neoantigens. <strong>898,753 (277,559) neoantigens<\/strong> were predicted by NetMCHpan 2.8 (4.0).<\/p>\n<\/div>\n<\/div><\/div><\/div><div id=\"pgc-333-0-1\"  class=\"panel-grid-cell\" ><div id=\"panel-333-0-1-0\" class=\"so-panel widget widget_sow-editor panel-first-child panel-last-child\" data-index=\"1\" ><div class=\"so-widget-sow-editor so-widget-sow-editor-base\">\n<div class=\"siteorigin-widget-tinymce textwidget\">\n\t<p>For the data of 9155 tumor samples from ICGC, we selected <strong>13,459\u00a0missense mutations<\/strong> (at least three occurrences in all tumor samples) and the <strong>16 HLA alleles (&gt;5% in the 1000 Genome Project)<\/strong>\u00a0to predict neoantigens.\u00a0<strong> 88,808 (30,175) neoantigens<\/strong> were predicted by NetMHCpan 2.8 (4.0).<\/p>\n<\/div>\n<\/div><\/div><\/div><\/div><\/div>","protected":false},"excerpt":{"rendered":"<p>For the data of\u00a0 7748 tumor samples from TCGA, we selected\u00a018,897 missense mutations (at least three occurrences in all tumor samples) and the top 100 HLA alleles (0.5%)\u00a0 to predict&#8230;<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"analyse.php","meta":{"footnotes":""},"class_list":["post-333","page","type-page","status-publish","hentry","entry","simple"],"_links":{"self":[{"href":"https:\/\/pgx.zju.edu.cn\/tsnadb1\/wp-json\/wp\/v2\/pages\/333","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/pgx.zju.edu.cn\/tsnadb1\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/pgx.zju.edu.cn\/tsnadb1\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/pgx.zju.edu.cn\/tsnadb1\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/pgx.zju.edu.cn\/tsnadb1\/wp-json\/wp\/v2\/comments?post=333"}],"version-history":[{"count":49,"href":"https:\/\/pgx.zju.edu.cn\/tsnadb1\/wp-json\/wp\/v2\/pages\/333\/revisions"}],"predecessor-version":[{"id":666,"href":"https:\/\/pgx.zju.edu.cn\/tsnadb1\/wp-json\/wp\/v2\/pages\/333\/revisions\/666"}],"wp:attachment":[{"href":"https:\/\/pgx.zju.edu.cn\/tsnadb1\/wp-json\/wp\/v2\/media?parent=333"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}