{"id":471,"date":"2020-10-23T10:21:34","date_gmt":"2020-10-23T10:21:34","guid":{"rendered":"http:\/\/139.91.162.68\/?page_id=471"},"modified":"2025-01-03T13:25:26","modified_gmt":"2025-01-03T13:25:26","slug":"online-services-2","status":"publish","type":"page","link":"https:\/\/dendrites.gr\/?page_id=471","title":{"rendered":"Bioinformatic Tools"},"content":{"rendered":"<section class=\"section section-software\">\n<article class=\"article-boxed article-desc\">\n<div class=\"row\">\n<div class=\"col-sm-9\">\n<div class=\"header-link\">\n<p>The online tools run on our dedicated server for bioinformatics tools:\u00a0<a href=\"https:\/\/mirna.imbb.forth.gr\" target=\"_blank\" rel=\"noopener\">mirna.imbb.forth.gr<\/a><\/p>\n<hr \/>\n<h3>MiRduplexSVM<\/h3>\n<h3><img loading=\"lazy\" decoding=\"async\" class=\"img-responsive center-block alignnone\" style=\"font-size: 16px;\" src=\"\/wp-content\/uploads\/2020\/10\/journal.pone_.0126151.g001.png\" alt=\"\" width=\"586\" height=\"411\" \/><\/h3>\n<p><a href=\"https:\/\/duplexsvm.dendrites.gr\" target=\"_blank\" rel=\"noopener\">Run the tool online<\/a><\/p>\n<p>Relevant publication:<\/p>\n<\/div>\n<div class=\"desc\">\n<p><strong>MiRduplexSVM: A High-Performing MiRNA-Duplex Prediction and Evaluation Methodology.<\/strong><br \/>\nKarathanasis N, Tsamardinos I, Poirazi P.<br \/>\n<strong>PLoS One.<\/strong> 2015 May 11;10(5):e0126151. doi: <a href=\"https:\/\/doi.org\/10.1371\/journal.pone.0126151\" target=\"_blank\" rel=\"noopener\">10.1371\/journal.pone.0126151<\/a>.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/article>\n<article class=\"article-boxed article-desc\">\n<div class=\"row\">\n<div>\n<hr \/>\n<\/div>\n<div>\n<h3>SSCprofiler: a Web-based tool for computational identification of novel miRNA precursors<\/h3>\n<\/div>\n<div class=\"col-sm-3\"><img loading=\"lazy\" decoding=\"async\" class=\"img-responsive center-block alignnone\" src=\"\/wp-content\/uploads\/2020\/10\/sscprofiler_logo.jpg\" alt=\"\" width=\"596\" height=\"265\" \/><\/div>\n<div class=\"col-sm-9\">\n<div class=\"header-link\">\n<p><a href=\"https:\/\/mirna.imbb.forth.gr\/SSCprofiler.html\" target=\"_blank\" rel=\"noopener\">Run the tool online<\/a><\/p>\n<\/div>\n<div class=\"desc\">\n<p>Relevant publication:<\/p>\n<p><strong>Prediction of novel microRNA genes in cancer-associated genomic regions\u2013a combined computational and experimental approach.<\/strong><br \/>\nOulas A, Boutla A, Gkirtzou K, Reczko M, Kalantidis K, Poirazi P.<br \/>\n<strong>Nucleic Acids Res.<\/strong>\u00a02009 Jun;37(10):3276-87. doi: <a href=\"https:\/\/doi.org\/10.1093\/nar\/gkp120\" target=\"_blank\" rel=\"noopener\">10.1093\/nar\/gkp120<\/a>.<\/p>\n<hr \/>\n<\/div>\n<\/div>\n<\/div>\n<\/article>\n<article class=\"article-boxed article-desc\">\n<div class=\"row\">\n<div>\n<div class=\"header-link\">\n<h3>Mature Bayes: a Web-based tool for the computational identification of mature miRNAs<\/h3>\n<\/div>\n<\/div>\n<div class=\"col-sm-3\"><img loading=\"lazy\" decoding=\"async\" class=\"img-responsive center-block alignnone\" src=\"\/wp-content\/uploads\/2020\/10\/maturebayes.png\" alt=\"\" width=\"568\" height=\"179\" \/><\/div>\n<div class=\"col-sm-9\">\n<div class=\"header-link\"><\/div>\n<div class=\"desc\">\n<p><a href=\"https:\/\/mirna.imbb.forth.gr\/MatureBayes.html\" target=\"_blank\" rel=\"noopener\">Run the tool online<\/a><\/p>\n<p>Relevant publication:<\/p>\n<p><strong>MatureBayes: a probabilistic algorithm for identifying the mature miRNA within novel precursors.<\/strong><br \/>\nGkirtzou K, Tsamardinos I, Tsakalides P, Poirazi P.<br \/>\n<strong>PLoS One.<\/strong> 2010 Aug 6; 5(8):e11843. doi: <a href=\"https:\/\/doi.org\/10.1371\/journal.pone.0011843\" target=\"_blank\" rel=\"noopener\">10.1371\/journal.pone.0011843<\/a><\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/article>\n<article class=\"article-boxed article-desc\">\n<div class=\"row\">\n<div>\n<hr \/>\n<\/div>\n<div>\n<h3 class=\"header-link\">TargetProfiler: a Web-based tool for the computational identification of miRNA: mRNA interactions<\/h3>\n<\/div>\n<div class=\"col-sm-3\"><img loading=\"lazy\" decoding=\"async\" class=\"img-responsive center-block alignnone\" src=\"\/wp-content\/uploads\/2020\/10\/targetprofiler2_logo_final.jpg\" alt=\"\" width=\"544\" height=\"314\" \/><\/div>\n<div class=\"col-sm-9\">\n<p><a href=\"https:\/\/mirna.imbb.forth.gr\/Targetprofiler.html\" target=\"_blank\" rel=\"noopener\">Run the tool online<\/a><\/p>\n<div class=\"desc\">\n<p>Relevant publication:<\/p>\n<p><strong>A new microRNA target prediction tool identifies a novel interaction of a putative miRNA with CCND2.<\/strong><br \/>\nOulas A, Karathanasis N, Louloupi A, Iliopoulos I, Kalantidis K, Poirazi P.<br \/>\n<strong>RNA Biol.<\/strong> 2012 Sep; 9(9):1196-207. doi: <a href=\"https:\/\/doi.org\/10.4161\/rna.21725\" target=\"_blank\" rel=\"noopener\">10.4161\/rna.21725<\/a><\/p>\n<hr \/>\n<h3>Expression Profiling Suite 2.1: Compilation of Methods for Microarray Data Analysis<\/h3>\n<\/div>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-2190 alignnone\" src=\"https:\/\/dendrites.gr\/wp-content\/uploads\/2022\/09\/ExpressionProfiling-e1664525990144.jpg\" alt=\"\" width=\"466\" height=\"274\" srcset=\"https:\/\/dendrites.gr\/wp-content\/uploads\/2022\/09\/ExpressionProfiling-e1664525990144.jpg 1536w, https:\/\/dendrites.gr\/wp-content\/uploads\/2022\/09\/ExpressionProfiling-e1664525990144-300x176.jpg 300w, https:\/\/dendrites.gr\/wp-content\/uploads\/2022\/09\/ExpressionProfiling-e1664525990144-1024x601.jpg 1024w, https:\/\/dendrites.gr\/wp-content\/uploads\/2022\/09\/ExpressionProfiling-e1664525990144-768x451.jpg 768w\" sizes=\"auto, (max-width: 466px) 100vw, 466px\" \/><\/p>\n<p><a href=\"https:\/\/mirna.imbb.forth.gr\/EPS_version2_1.jar\" target=\"_blank\" rel=\"noopener\">Download the code<\/a><\/p>\n<p>Relevant publication:<\/p>\n<p><strong>Grading of human astrocytic brain tumors by artificial neural network analysis of gene expression microarray data.<\/strong><br \/>\nPetalidis LP, Oulas A, Wayland MT, Liu L, Plant K, Happerfield L, Renault-Mihara F, Freeman TC, Poirazi P,\u00a0 Collins PV.<br \/>\n<strong>Molecular Cancer Therapeutics<\/strong>, 2008 May; 7(5):1013-24. doi: <a href=\"https:\/\/doi.org\/10.1158\/1535-7163.mct-07-0177\" target=\"_blank\" rel=\"noopener\">10.1158\/1535-7163.mct-07-0177<\/a><\/p>\n<div class=\"desc\">\n<hr \/>\n<h3>ANN models for Growth Rate Prediction of Streptococcus macedonicus ACA-DC 198<\/h3>\n<\/div>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-2188 alignnone\" src=\"https:\/\/dendrites.gr\/wp-content\/uploads\/2022\/09\/ANN_bioinf.png\" alt=\"\" width=\"317\" height=\"301\" srcset=\"https:\/\/dendrites.gr\/wp-content\/uploads\/2022\/09\/ANN_bioinf.png 1034w, https:\/\/dendrites.gr\/wp-content\/uploads\/2022\/09\/ANN_bioinf-300x285.png 300w, https:\/\/dendrites.gr\/wp-content\/uploads\/2022\/09\/ANN_bioinf-1024x972.png 1024w, https:\/\/dendrites.gr\/wp-content\/uploads\/2022\/09\/ANN_bioinf-768x729.png 768w\" sizes=\"auto, (max-width: 317px) 100vw, 317px\" \/><\/p>\n<p><a href=\"https:\/\/mirna.imbb.forth.gr\/ANN-AEM07.zip\" target=\"_blank\" rel=\"noopener\">Download the code<\/a><\/p>\n<p>Relevant publication:<\/p>\n<p><strong>Use of artificial neural networks and a gamma-concept-based approach to model growth of and bacteriocin production by Streptococcus macedonicus ACA-DC 198 under conditions simulating Kasseri cheese technology.<\/strong><br \/>\nPoirazi P, Leroy F, Georgalaki MD, Aktypis A, De Vuyst L, Tsakalidou E.<br \/>\n<strong>Applied and Environmental Biology<\/strong>, 2007 Frb; 73(3):768-76. doi: <a href=\"https:\/\/doi.org\/10.1128\/AEM.01721-06\" target=\"_blank\" rel=\"noopener\">10.1128\/AEM.01721-06<\/a><\/p>\n<div class=\"desc\">\n<hr \/>\n<h3>The CER classifier: a Feature Selection\/Classification Tool<\/h3>\n<\/div>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-2189 alignnone\" src=\"https:\/\/dendrites.gr\/wp-content\/uploads\/2022\/09\/CER_classifier.png\" alt=\"\" width=\"350\" height=\"314\" srcset=\"https:\/\/dendrites.gr\/wp-content\/uploads\/2022\/09\/CER_classifier.png 953w, https:\/\/dendrites.gr\/wp-content\/uploads\/2022\/09\/CER_classifier-300x269.png 300w, https:\/\/dendrites.gr\/wp-content\/uploads\/2022\/09\/CER_classifier-768x689.png 768w\" sizes=\"auto, (max-width: 350px) 100vw, 350px\" \/><\/p>\n<p><a href=\"https:\/\/mirna.imbb.forth.gr\/ANN-AEM07.zip\" target=\"_blank\" rel=\"noopener\">Download the code<\/a><\/p>\n<p>Relevant publication:<\/p>\n<p><strong>Individualized markers optimize class prediction of microarray data.<\/strong><br \/>\nPavlidis P, Poirazi P.<br \/>\n<strong>BMC Bioinformatics<\/strong>, 2006 Jul; 7:345. doi: <a href=\"https:\/\/doi.org\/10.1186\/1471-2105-7-345\" target=\"_blank\" rel=\"noopener\">10.1186\/1471-2105-7-345<\/a><\/p>\n<\/div>\n<\/div>\n<\/article>\n<\/section>\n","protected":false},"excerpt":{"rendered":"<p>The online tools run on our dedicated server for bioinformatics tools:\u00a0mirna.imbb.forth.gr MiRduplexSVM Run the tool online Relevant publication: MiRduplexSVM: A High-Performing MiRNA-Duplex Prediction and Evaluation Methodology. Karathanasis N, Tsamardinos I, Poirazi P. PLoS One. 2015 May 11;10(5):e0126151. doi: 10.1371\/journal.pone.0126151. SSCprofiler: a Web-based tool for computational identification of novel miRNA precursors Run the tool online Relevant [&hellip;]<\/p>\n","protected":false},"author":5,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"class_list":["post-471","page","type-page","status-publish","hentry","post"],"_links":{"self":[{"href":"https:\/\/dendrites.gr\/index.php?rest_route=\/wp\/v2\/pages\/471","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/dendrites.gr\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/dendrites.gr\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/dendrites.gr\/index.php?rest_route=\/wp\/v2\/users\/5"}],"replies":[{"embeddable":true,"href":"https:\/\/dendrites.gr\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=471"}],"version-history":[{"count":24,"href":"https:\/\/dendrites.gr\/index.php?rest_route=\/wp\/v2\/pages\/471\/revisions"}],"predecessor-version":[{"id":2697,"href":"https:\/\/dendrites.gr\/index.php?rest_route=\/wp\/v2\/pages\/471\/revisions\/2697"}],"wp:attachment":[{"href":"https:\/\/dendrites.gr\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=471"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}