{"id":409,"date":"2025-04-22T08:35:44","date_gmt":"2025-04-22T08:35:44","guid":{"rendered":"https:\/\/www.msfteh.org\/nursinfor25\/?page_id=409"},"modified":"2025-04-22T09:14:05","modified_gmt":"2025-04-22T09:14:05","slug":"metagenomics-for-nursing","status":"publish","type":"page","link":"https:\/\/www.msfteh.org\/nursinfor25\/metagenomics-for-nursing\/","title":{"rendered":"Metagenomics for Nursing"},"content":{"rendered":"<h3><strong>Metagenomic Bioinformatics and 16S rRNA Analysis in Colorectal Cancer: Implications for Digital Nursing and Telenursing<\/strong><\/h3>\n<h6><\/h6>\n<h4>Facilitators:<\/h4>\n<ul>\n<li>Otmane EL BRINI<\/li>\n<li>Zakia Boudar<\/li>\n<li>Soumaya Jbara<\/li>\n<li>Sara Fadel<\/li>\n<\/ul>\n<h4>Target Audience\u00a0:<\/h4>\n<p>Healthcare professionals, nursing researchers, postgraduate students in life sciences or bioinformatics, and digital health practitioners interested in microbiome-based approaches to personalized care.<\/p>\n<h4>Objectives:<\/h4>\n<ul>\n<li>Introduce the fundamentals of microbiome science and metagenomic approaches using 16S rRNA sequencing.<\/li>\n<li>Present the structure and workflow of a typical microbiome bioinformatics pipeline (e.g., quality filtering, ASV inference, taxonomic assignment via DADA2 or Galaxy).<\/li>\n<li>Analyze public 16S rRNA sequencing datasets from colorectal cancer patients to extract microbial patterns.<\/li>\n<li>Understand how gut microbiota composition can influence cancer development, response to treatment, and patient outcomes.<\/li>\n<li>Explore how Telenursing can integrate microbiome data for remote monitoring, risk assessment, and personalized nursing care.<\/li>\n<\/ul>\n<h4>Description:<\/h4>\n<p>This masterclass introduces participants to microbiome analysis in the context of colorectal cancer, focusing on 16S rRNA-based sequencing data. Using bioinformatic tools like Galaxy, participants will learn how to process raw sequencing data, extract and interpret bacterial profiles, and visualize taxonomic differences between healthy and cancer-affected individuals. Special emphasis will be placed on how these insights can be applied in telenursing and digital nursing care models, enabling personalized follow-up, prevention strategies, and improved patient education through remote care platforms. This session bridges the gap between genomics, nursing, and digital innovation.<\/p>\n<h4>Maximum Number of Participants:<\/h4>\n<p>40 participants \u2013 registration on a first-come, first-served basis.<\/p>\n<p><a href=\"https:\/\/www.msfteh.org\/nursinfor25\/master-classes-registration-form\/\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-226\" src=\"https:\/\/www.msfteh.org\/nursinfor25\/wp-content\/uploads\/2025\/03\/registernow.jpg\" alt=\"\" width=\"289\" height=\"63\" srcset=\"https:\/\/www.msfteh.org\/nursinfor25\/wp-content\/uploads\/2025\/03\/registernow.jpg 367w, https:\/\/www.msfteh.org\/nursinfor25\/wp-content\/uploads\/2025\/03\/registernow-300x65.jpg 300w, https:\/\/www.msfteh.org\/nursinfor25\/wp-content\/uploads\/2025\/03\/registernow-275x60.jpg 275w\" sizes=\"auto, (max-width: 289px) 100vw, 289px\" \/><\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Metagenomic Bioinformatics and 16S rRNA Analysis in Colorectal Cancer: Implications for Digital Nursing and Telenursing Facilitators: Otmane EL BRINI Zakia Boudar Soumaya Jbara Sara Fadel Target Audience\u00a0: Healthcare professionals, nursing researchers, postgraduate students in life sciences or bioinformatics, and digital health practitioners interested in microbiome-based approaches to personalized care. Objectives: Introduce the fundamentals of microbiome &hellip; <\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-409","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/www.msfteh.org\/nursinfor25\/wp-json\/wp\/v2\/pages\/409","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.msfteh.org\/nursinfor25\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.msfteh.org\/nursinfor25\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.msfteh.org\/nursinfor25\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.msfteh.org\/nursinfor25\/wp-json\/wp\/v2\/comments?post=409"}],"version-history":[{"count":4,"href":"https:\/\/www.msfteh.org\/nursinfor25\/wp-json\/wp\/v2\/pages\/409\/revisions"}],"predecessor-version":[{"id":417,"href":"https:\/\/www.msfteh.org\/nursinfor25\/wp-json\/wp\/v2\/pages\/409\/revisions\/417"}],"wp:attachment":[{"href":"https:\/\/www.msfteh.org\/nursinfor25\/wp-json\/wp\/v2\/media?parent=409"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}