{"id":9007,"date":"2023-01-16T13:56:32","date_gmt":"2023-01-16T13:56:32","guid":{"rendered":"https:\/\/dev.sequentiabiotech.com\/publication\/a-new-bioinformatic-tool-to-interpret-metagenomics-metatranscriptomics-results-based-on-the-geometry-of-the-clustering-network-and-its-differentially-gene-ontologies-gango\/"},"modified":"2026-02-24T15:28:12","modified_gmt":"2026-02-24T15:28:12","slug":"a-new-bioinformatic-tool-to-interpret-metagenomics-metatranscriptomics-results-based-on-the-geometry-of-the-clustering-network-and-its-differentially-gene-ontologies-gango","status":"publish","type":"publication","link":"https:\/\/www.sequentiabiotech.com\/es\/publication\/a-new-bioinformatic-tool-to-interpret-metagenomics-metatranscriptomics-results-based-on-the-geometry-of-the-clustering-network-and-its-differentially-gene-ontologies-gango\/","title":{"rendered":"A new bioinformatic tool to interpret metagenomics \/ metatranscriptomics results based on the geometry of the clustering network and its differentially gene ontologies (GANGO)"},"content":{"rendered":"<p><strong>Authors:<\/strong> J. M\u00e9ndez, <span class=\"nlm-given-names\">A.<\/span>\u00a0<span class=\"nlm-surname\">Monleon-Getino, A. Paytuv\u00ed i Gallart, W. Sanseverino<\/span><\/p>\n<p><strong>Institutions:<\/strong><\/p>\n<ul>\n<li>Section of Statistics, Departament of Genetics, Microbiology and Statistics, Faculty of Biology, University of Barcelona, Barcelona, Spain<\/li>\n<li>Sequentia Biotech SL, Carrer Comte d\u2019Urgell 240, Barcelona, Spain<\/li>\n<li>Group of Research in Bioestatistics and Bioinformatics (GRBIO), Barcelona, Spain<\/li>\n<li>BIOST Group of Research in Clinical Bioestatistics, Bioinformatics and Data Science, Barcelona, Spain<\/li>\n<\/ul>\n<p><strong>Publication:<\/strong>\u00a0<em>bioRxiv<\/em><\/p>\n<p><strong>Date:<\/strong> June, 2020<\/p>\n<p><strong>Link:<\/strong> <a href=\"https:\/\/www.biorxiv.org\/content\/10.1101\/2020.06.10.140103v1.full\">A new bioinformatic tool to interpret metagenomics \/ metatranscriptomics results based on the geometry of the clustering network and its differentially gene ontologies (GANGO)<\/a><\/p>\n<p><strong>Abstract:<\/strong><\/p>\n<p>High-throughput experimental techniques, such as metagenomics or metatranscriptomics, produce large amounts of data, which interpretation and conversion into understandable knowledge can be challenging and out of reach. We present GANGO, a new algorithm based on the ecological concept of consortium (groups biologically connected) and by using clustering network analysis, gene ontologies and powerful hypothesis test allows the identification and interpretation of complex ecological networks, allowing the identification of the relationship between taxa\/genes, the number of groups, their relations and their functionalities using the annotated genes of an organism in a database (e.g. UniProt or Ensembl). Three examples of the use of GANGO are shown: a simulated mixture of fungi and bacteria, alterations in soil fungi communities after a diesel-oil spill and genomic changes in\u00a0<em>Saccharomyces cerevisae<\/em>\u00a0due to abiotic stress.<\/p>\n","protected":false},"featured_media":9495,"parent":0,"template":"","meta":{"_acf_changed":false},"omics-area":[39,88,40],"application-field":[35],"solution":[46],"publication-type":[49],"class_list":["post-9007","publication","type-publication","status-publish","has-post-thumbnail","hentry","omics-area-metagenomics","omics-area-multi-omics","omics-area-transcriptomics","application-field-basic-research","solution-air","publication-type-peer-reviewed-articles"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.9 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>A new bioinformatic tool to interpret metagenomics \/ metatranscriptomics results based on the geometry of the clustering network and its differentially gene ontologies (GANGO) - Sequentia<\/title>\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.sequentiabiotech.com\/es\/publication\/a-new-bioinformatic-tool-to-interpret-metagenomics-metatranscriptomics-results-based-on-the-geometry-of-the-clustering-network-and-its-differentially-gene-ontologies-gango\/\" \/>\n<meta property=\"og:locale\" content=\"es_ES\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"A new bioinformatic tool to interpret metagenomics \/ metatranscriptomics results based on the geometry of the clustering network and its differentially gene ontologies (GANGO) - Sequentia\" \/>\n<meta property=\"og:description\" content=\"Authors: J. M\u00e9ndez, A.\u00a0Monleon-Getino, A. Paytuv\u00ed i Gallart, W. Sanseverino Institutions: Section of Statistics, Departament of Genetics, Microbiology and Statistics, Faculty of Biology, University of Barcelona, Barcelona, Spain Sequentia Biotech SL, Carrer Comte d\u2019Urgell 240, Barcelona, Spain Group of Research in Bioestatistics and Bioinformatics (GRBIO), Barcelona, Spain BIOST Group of Research in Clinical Bioestatistics, Bioinformatics [&hellip;]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.sequentiabiotech.com\/es\/publication\/a-new-bioinformatic-tool-to-interpret-metagenomics-metatranscriptomics-results-based-on-the-geometry-of-the-clustering-network-and-its-differentially-gene-ontologies-gango\/\" \/>\n<meta property=\"og:site_name\" content=\"Sequentia\" \/>\n<meta property=\"article:modified_time\" content=\"2026-02-24T15:28:12+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.sequentiabiotech.com\/wp-content\/uploads\/2025\/06\/44-e1770713850300.png\" \/>\n\t<meta property=\"og:image:width\" content=\"1080\" \/>\n\t<meta property=\"og:image:height\" content=\"605\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Tiempo de lectura\" \/>\n\t<meta name=\"twitter:data1\" content=\"2 minutos\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/www.sequentiabiotech.com\\\/es\\\/publication\\\/a-new-bioinformatic-tool-to-interpret-metagenomics-metatranscriptomics-results-based-on-the-geometry-of-the-clustering-network-and-its-differentially-gene-ontologies-gango\\\/\",\"url\":\"https:\\\/\\\/www.sequentiabiotech.com\\\/es\\\/publication\\\/a-new-bioinformatic-tool-to-interpret-metagenomics-metatranscriptomics-results-based-on-the-geometry-of-the-clustering-network-and-its-differentially-gene-ontologies-gango\\\/\",\"name\":\"A new bioinformatic tool to interpret metagenomics \\\/ metatranscriptomics results based on the geometry of the clustering network and its differentially gene ontologies (GANGO) - 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