{"id":6527,"date":"2020-01-29T17:11:15","date_gmt":"2020-01-29T16:11:15","guid":{"rendered":"http:\/\/semmelweis.hu\/bioinformatika\/?page_id=6527"},"modified":"2026-03-02T11:57:19","modified_gmt":"2026-03-02T10:57:19","slug":"fejlesztesek","status":"publish","type":"page","link":"https:\/\/semmelweis.hu\/bioinformatika\/fejlesztesek\/","title":{"rendered":"Fejleszt\u00e9sek"},"content":{"rendered":"<p>Kaplan-Meier Plotter: <a href=\"https:\/\/kmplot.com\/analysis\/\">https:\/\/kmplot.com\/analysis\/<\/a><\/p>\n<h2>What is the KM plotter?<img loading=\"lazy\" decoding=\"async\" class=\"alignright\" style=\"color: #1e2326;font-family: 'PT serif', serif;font-size: 1rem;font-weight: 400\" src=\"https:\/\/semmelweis.hu\/bioinformatika\/files\/2022\/02\/Kaplan_meier_v1.jpg\" alt=\"Kaplan_Meier_cancer_analyzer\" width=\"483\" height=\"204\" \/><\/h2>\n<p class=\"text\">The Kaplan Meier plotter is capable to assess the correlation between the expression of\u00a0<b>30k genes (mRNA, miRNA, protein)<\/b>\u00a0and survival in\u00a0<b>25k+ samples from 21 tumor types<\/b>\u00a0including breast, ovarian, lung, &amp; gastric cancer. Sources for the databases include GEO, EGA, and TCGA. Primary purpose of the tool is a meta-analysis based\u00a0<b>discovery and validation of survival biomarkers<\/b>.<\/p>\n<p>Click and link gene expression to meta-analysis based discovery and validation of su rvival biomarkers!<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>ROC Plotter &#8211; Online ROC analysis: <a href=\"http:\/\/www.rocplot.com\/\">http:\/\/www.rocplot.com\/<\/a><\/p>\n<h2>What is the ROC Plotter?\u00a0<strong><img loading=\"lazy\" decoding=\"async\" class=\"alignright\" src=\"https:\/\/semmelweis.hu\/bioinformatika\/files\/2022\/02\/roc_plotter_v2.jpg\" alt=\"Roc plotter analyzer\" width=\"446\" height=\"95\" \/><\/strong><\/h2>\n<p>The ROC plotter is capable to <strong>link gene expression and response to therapy\u00a0<\/strong>using transcriptome-level data of 3,104<strong>\u00a0breast cancer patients<\/strong>\u00a0and 2,369\u00a0<strong>ovarian cancer patients.<\/strong><\/p>\n<p>Click and link gene expression to therapy efficacy using Roc Plot cancer analysis!<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>Scientometrics of Hungarian researchers: <a href=\"https:\/\/scientometrics.org\/\">https:\/\/scientometrics.org\/<\/a><\/p>\n<h2>Why was scientometrics.org established?<\/h2>\n<div>According to the SCImago country rank index for publication output, Hungary has fallen from the 32nd position to the 50th position in twenty years. The primary reason for this is the low publication activity of Hungarian researchers.\u00a0<b>Scientometrics.org helps to increase transparency by establishing a national benchmark.\u00a0<\/b>SCImago country ranks between 1998 and 2020.<\/div>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>muTarget-connect mutation status to gene expression changes in solid tumours: <a href=\"https:\/\/www.mutarget.com\/\">https:\/\/www.mutarget.com\/<\/a><\/p>\n<h2>What is the muTarget?\u00a0<\/h2>\n<h5>muTarget is a cancer biomarker \/ target discovery tool with two major functions<\/h5>\n<p><a href=\"https:\/\/www.mutarget.com\/\" rel=\"https:\/\/www.mutarget.com\/\"><img loading=\"lazy\" decoding=\"async\" class=\"alignright\" src=\"https:\/\/semmelweis.hu\/bioinformatika\/files\/2022\/02\/Mutate_v2.jpg\" alt=\"\" width=\"433\" height=\"184\" \/><\/a><\/p>\n<h2><span style=\"color: #1e2326;font-family: 'PT serif', serif;font-size: 1rem;font-weight: 400\">1) With a &#8222;genotype<\/span><span style=\"color: #1e2326;font-family: 'PT serif', serif;font-size: 1rem;font-weight: 400\">&#8221; run one can identify gene(s) showing altered expression in samples harbouring a\u00a0<\/span><strong style=\"color: #1e2326;font-family: 'PT serif', serif;font-size: 1rem\">mutated input gene<\/strong><span style=\"color: #1e2326;font-family: 'PT serif', serif;font-size: 1rem;font-weight: 400\">. This option is useful in case one searches\u00a0<\/span><strong style=\"color: #1e2326;font-family: 'PT serif', serif;font-size: 1rem\">new drug targets\u00a0<\/strong><span style=\"color: #1e2326;font-family: 'PT serif', serif;font-size: 1rem;font-weight: 400\">in a cohort of patients with a given mutation.<\/span><\/h2>\n<div class=\"node__content clearfix\">\n<div class=\"clearfix text-formatted field field--name-body field--type-text-with-summary field--label-hidden field__item\">\n<p>2) With a &#8222;target&#8221; run one can identify mutations resulting in<strong>\u00a0expression change in the input gene<\/strong>. This option is useful in case one has a drug target gene, and\u00a0<strong>patient cohorts with enriched expression<\/strong>\u00a0is the question.<\/p>\n<p>Click to perform cancer analysis!<\/p>\n<\/div>\n<p><\/p>\n<p>&nbsp;<\/p>\n<p>TNMplot: differential gene expression analysis in Tumor, Normal and Metastatic tissues:\u00a0<a href=\"https:\/\/tnmplot.com\/\">https:\/\/tnmplot.com\/<\/a><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignright\" src=\"https:\/\/semmelweis.hu\/bioinformatika\/files\/2022\/02\/tnm_v2.jpg\" alt=\"TNM plot\" width=\"415\" height=\"175\" \/><\/p>\n<h2>What is the TNMplot?\u00a0<\/h2>\n<p>TNMplot.com: A Web Tool for the Comparison of Gene Expression in Normal, Tumor and Metastatic Tissues. TNMplot is a registration-free online analysis portal which enables the mining of RNA-seq and gene chip data for any gene to assess expression differences in normal, malignant and metastatic samples.<\/p>\n<p>Click to differential gene expression analysis in Tumor, Normal and Metastatic tissues!<\/p>\n<p><\/p>\n<p>&nbsp;<\/p>\n<\/div>\n<p>&nbsp;<\/p>\n<p>Recurrence Online-Transcriptome Based Breast Cancer Diagnostics: <a href=\"http:\/\/genearray.recurrenceonline.com\/\">genearray.recurrenceonline.com<\/a><\/p>\n<h2 id=\"page-title\" class=\"title\">What is Recurrence Online?<\/h2>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignright\" src=\"https:\/\/semmelweis.hu\/bioinformatika\/files\/2022\/02\/recurrence_v2.jpg\" alt=\"\" width=\"450\" height=\"115\" \/><\/p>\n<p>&nbsp;<\/p>\n<div class=\"region region-content\">\n<div id=\"block-system-main\" class=\"block block-system\">\n<div class=\"content\">\n<div id=\"node-6\" class=\"node node-page node-promoted node-sticky\">\n<div class=\"content\">\n<div class=\"field field-name-body field-type-text-with-summary field-label-hidden\">\n<div class=\"field-items\">\n<div class=\"field-item even\">\n<p>Recurrence Online is capable to predict response to hormonal treatment<strong>\u00a0[ER status],<\/strong>\u00a0response to targeted therapy<strong>\u00a0[HER2 status]\u00a0<\/strong>and survival\u00a0<strong>[recurrence score]\u00a0<\/strong>for breast cancer patients using gene expression data obtained by Affymetrix microarrays. <strong>Quality control\u00a0<\/strong>algorithms are implemented to exclude biases related to sample processing, hybridization and scanning.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<p>&nbsp;<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<p>&nbsp;<\/p>\n<p>Multiple Testing Correction: <a href=\"https:\/\/multipletesting.com\/\">https:\/\/multipletesting.com\/<\/a><\/p>\n<p><a href=\"https:\/\/multipletesting.com\/\" rel=\"https:\/\/www.multipletesting.com\/\"><img loading=\"lazy\" decoding=\"async\" class=\"alignright\" src=\"https:\/\/semmelweis.hu\/bioinformatika\/files\/2022\/02\/multiple_v2.jpg\" alt=\"\" width=\"229\" height=\"173\" \/><\/a><\/p>\n<h2 id=\"page-title\" class=\"title\">What is Multipletesting?<\/h2>\n<p>A tool for life science researchers for multiple hypothesis testing correction.<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>COVIDOUTCOME &#8211; Estimating COVID Severity Based on Mutations in the SARS-CoV-2 Genome:\u00a0<a href=\"https:\/\/covidoutcome.com\/\">https:\/\/covidoutcome.com\/<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Kaplan-Meier Plotter: <a href=\"https:\/\/kmplot.com\/analysis\/\">https:\/\/kmplot.com\/analysis\/<\/a> What is the KM plotter? The Kaplan Meier plotter is capable to assess the correlation between the expression of\u00a030k genes (mRNA, miRNA, protein)\u00a0and survival in\u00a025k+ samples from 21 tumor types\u00a0including breast, ovarian, lung, &amp; gastric cancer. Sources for the databases include GEO, EGA, and TCGA. Primary purpose of the tool is a meta-analysis &hellip;<\/p>\n","protected":false},"author":101688,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"categories":[],"tags":[],"class_list":["post-6527","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/semmelweis.hu\/bioinformatika\/wp-json\/wp\/v2\/pages\/6527","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/semmelweis.hu\/bioinformatika\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/semmelweis.hu\/bioinformatika\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/semmelweis.hu\/bioinformatika\/wp-json\/wp\/v2\/users\/101688"}],"replies":[{"embeddable":true,"href":"https:\/\/semmelweis.hu\/bioinformatika\/wp-json\/wp\/v2\/comments?post=6527"}],"version-history":[{"count":11,"href":"https:\/\/semmelweis.hu\/bioinformatika\/wp-json\/wp\/v2\/pages\/6527\/revisions"}],"predecessor-version":[{"id":11436,"href":"https:\/\/semmelweis.hu\/bioinformatika\/wp-json\/wp\/v2\/pages\/6527\/revisions\/11436"}],"wp:attachment":[{"href":"https:\/\/semmelweis.hu\/bioinformatika\/wp-json\/wp\/v2\/media?parent=6527"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/semmelweis.hu\/bioinformatika\/wp-json\/wp\/v2\/categories?post=6527"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/semmelweis.hu\/bioinformatika\/wp-json\/wp\/v2\/tags?post=6527"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}