{"id":18283,"date":"2014-12-19T10:15:19","date_gmt":"2014-12-19T10:15:19","guid":{"rendered":"https:\/\/www.editage.com\/insights\/research\/a-new-algorithm-identifies-mutation-patterns-across-coding-and-noncoding-dna\/"},"modified":"2025-09-19T16:03:45","modified_gmt":"2025-09-19T10:33:45","slug":"a-new-algorithm-identifies-mutation-patterns-across-coding-and-noncoding-dna","status":"publish","type":"research","link":"https:\/\/www.editage.com\/insights\/a-new-algorithm-identifies-mutation-patterns-across-coding-and-noncoding-dna","title":{"rendered":"A new algorithm identifies mutation patterns across coding and noncoding DNA"},"content":{"rendered":"<p style=\"text-align: justify;\"><span style=\"font-family: verdana,geneva,sans-serif;\"><span style=\"font-size: 14px;\">Researchers have been able to study 2 percent of the human genome in depth, which includes protein-coding <a href=\"https:\/\/www.kolabtree.com\/find-an-expert\/subject\/DNA-Sequencing-Data-Analysis\">DNA sequences<\/a>. While mutations in this area of the genome have led to the understanding of the nature of many diseases, several disease-related mutations also happen in noncoding regions of the genome that comprises the remaining 98 percent\u2014parts that do not directly make proteins but control genes\u2019 behavior. Professor Brendan Frey of the University of Toronto, who studies genetic networks, has developed a \u201cdeep-learning\u201d machine algorithm that can recognize patterns of mutation across coding and noncoding DNA. Frey\u2019s system predicts whether or not a mutation will cause a change in RNA splicing that could lead to a disease phenotype. The algorithm was tested on autism spectrum disorder and it not only confirmed the existing knowledge about autism genetics but also uncovered 17 new disease-causing genes. Frey\u2019s method combines whole-genome analysis and predictive models for RNA splicing, which can contribute significantly to the development of new treatment methods and diagnoses.<\/span><\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"font-family: verdana,geneva,sans-serif;\"><span style=\"font-size: 14px;\">Read more in <em><a href=\"http:\/\/www.scientificamerican.com\/article\/the-dark-corners-of-our-dna-hold-clues-about-disease\/\">Scientific American<\/a><\/em>. \u00a0<\/span><\/span><\/p>\n<p style=\"text-align: justify;\"><em><span style=\"font-family: verdana,geneva,sans-serif;\"><span style=\"font-size: 14px;\">Image: <a href=\"http:\/\/commons.wikimedia.org\/wiki\/File:DNA_double_helix_horizontal.png\">Wikimedia Commons<\/a><\/span><\/span><\/em><\/p>\n","protected":false},"author":8,"featured_media":33313,"template":"","meta":{"_acf_changed":false,"inline_featured_image":false},"new_tags":[],"series":[],"subject":[2976,2974,2975],"class_list":["post-18283","research","type-research","status-publish","has-post-thumbnail","hentry","subject-and-molecular-biology","subject-biochemistry","subject-genetics"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v25.0 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>A new algorithm identifies mutation patterns across coding and noncoding DNA | Editage Insights<\/title>\n<meta name=\"description\" content=\"Researchers have been able to study 2 percent of the human genome in depth, which includes protein-coding DNA sequences. Professor Brendan Frey of the University of Toronto,\u00a0has developed a \u201cdeep-learning\u201d machine algorithm that can recognize patterns of mutation across coding and noncoding DNA. Read on to find out more.\u00a0\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.editage.com\/insights\/a-new-algorithm-identifies-mutation-patterns-across-coding-and-noncoding-dna\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"A new algorithm identifies mutation patterns across coding and noncoding DNA | Editage Insights\" \/>\n<meta property=\"og:description\" content=\"Researchers have been able to study 2 percent of the human genome in depth, which includes protein-coding DNA sequences. Professor Brendan Frey of the University of Toronto,\u00a0has developed a \u201cdeep-learning\u201d machine algorithm that can recognize patterns of mutation across coding and noncoding DNA. 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