{"id":14488,"date":"2026-07-14T07:15:36","date_gmt":"2026-07-14T07:15:36","guid":{"rendered":"https:\/\/www.sequentiabiotech.com\/?post_type=new-and-event&#038;p=14488"},"modified":"2026-07-15T13:04:42","modified_gmt":"2026-07-15T13:04:42","slug":"building-shiny-applications-with-artificial-intelligence-integrating-llms-for-biological-data-analysis","status":"publish","type":"new-and-event","link":"https:\/\/www.sequentiabiotech.com\/it\/new-and-event\/building-shiny-applications-with-artificial-intelligence-integrating-llms-for-biological-data-analysis\/","title":{"rendered":"Building Shiny Applications with Artificial Intelligence: Integrating LLMs for biological Data Analysis"},"content":{"rendered":"<h3><b>What is this course about?<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">This 3-day hands-on workshop (12 hours total) will teach you how to integrate Large Language Models (LLMs) into Shiny applications focused on biological data exploration.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">We won&#8217;t just stop at theory: you will build a functional Shiny app step-by-step that not only displays biological datasets but also allows users to interact with them through an AI chat, connecting results with external scientific literature and controlling key risks such as hallucinations and API costs.<\/span><\/p>\n<h3><b>Who is this course for?<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">This course is specifically designed for researchers, bioinformaticians, data analysts, and technical staff who already work with R and want to explore the potential of AI applied to interactive environments.<\/span><\/p>\n<h3><b>Prerequisites:<\/b><\/h3>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Basic R programming and plotting.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Experience working with data frames or tibbles.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><i><span style=\"font-weight: 400;\">Note: Previous experience with Shiny is not essential (we will do an initial review), but a fluent command of R is required.<br \/>\n<\/span><\/i><\/li>\n<\/ul>\n<h3><b>Course Blueprint<\/b><\/h3>\n<table style=\"height: 282px;\" width=\"694\">\n<tbody>\n<tr>\n<td>\n<h4><b>Day<\/b><\/h4>\n<\/td>\n<td>\n<h4><b>Main Focus<\/b><\/h4>\n<\/td>\n<td>\n<h4><b>What will you have programmed?<\/b><\/h4>\n<\/td>\n<\/tr>\n<tr>\n<td>\n<h4><b>1)<\/b><\/h4>\n<\/td>\n<td>\n<h4><span style=\"font-weight: 400;\">Shiny Structure &amp; API Connection<\/span><\/h4>\n<\/td>\n<td>\n<h4><span style=\"font-weight: 400;\">Your base app with biological data and your first integrated AI chat.<\/span><\/h4>\n<\/td>\n<\/tr>\n<tr>\n<td>\n<h4><b>2)<\/b><\/h4>\n<\/td>\n<td>\n<h4><span style=\"font-weight: 400;\">Context &amp; Scientific Literature<\/span><\/h4>\n<\/td>\n<td>\n<h4><span style=\"font-weight: 400;\">An assistant that answers questions about your local data and searches for real papers.<\/span><\/h4>\n<\/td>\n<\/tr>\n<tr>\n<td>\n<h4>3)<\/h4>\n<\/td>\n<td>\n<h4><span style=\"font-weight: 400;\">Automated Analysis &amp; Deployment<\/span><\/h4>\n<\/td>\n<td>\n<h4><span style=\"font-weight: 400;\">AI-assisted plots and the key steps to securely deploy your app to production.<\/span><\/h4>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>&nbsp;<\/p>\n<h3><b>What you will be able to do by the end of the course:<\/b><\/h3>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Connect any LLM with Shiny&#8217;s reactive interface.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Guide prompts so that the AI responds strictly based on your data (stopping hallucinations).<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Automate literature searches based on omics results.<\/span><\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h3><b>Registration &amp; Seat Reservation<\/b><\/h3>\n<p>To secure your place in this hands-on workshop, <b data-path-to-node=\"5,0\" data-index-in-node=\"48\">please use the option that best suits your needs below:<\/b><\/p>\n<h4><b>Paying by credit card? <\/b><\/h4>\n<p><b>Price: \u20ac350 (VAT included)<\/b><span style=\"font-weight: 400;\"> [\u00a0 <a href=\"https:\/\/checkout.revolut.com\/payment-link\/f2152c51-e4b6-4e5c-ad4c-230889658a86\"><b>\u00a0<\/b><\/a><b><a href=\"https:\/\/checkout.revolut.com\/payment-link\/f2152c51-e4b6-4e5c-ad4c-230889658a86\">Pay Here<\/a><\/b><\/span><span style=\"font-weight: 400;\">\u00a0]\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Click the button below to go to our secure gateway and pay directly with your credit or debit card.<\/span><\/p>\n<h4><b>Do you need a Purchase Order (PO)?<\/b><\/h4>\n<p><span style=\"font-weight: 400;\">If you need to process this course through a Purchase Order (PO) or need us to issue a proforma invoice for payment via bank transfer<\/span><\/p>\n<p><span style=\"font-weight: 400;\">\ud83d\udce9 Email us directly at <\/span><b>admin@sequentiabiotech.com<\/b><span style=\"font-weight: 400;\"> with your entity&#8217;s tax details and the number of seats required.<\/span><\/p>\n<p>&nbsp;<\/p>\n<p><span style=\"font-weight: 400;\">Have other questions? <\/span><a href=\"https:\/\/www.sequentiabiotech.com\/contact-sequentia-biotech\/\"><span style=\"font-weight: 400;\">Contact<\/span><\/a> <a href=\"https:\/\/www.sequentiabiotech.com\/contact-sequentia-biotech\/\"><span style=\"font-weight: 400;\">us<\/span><\/a><span style=\"font-weight: 400;\"> and we will help you<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Please note that the course is subject to a minimum number of participants. Sequentia reserves the right to postpone the course if this minimum is not reached, in which case a full refund of any paid amounts will be issued<\/span><\/p>\n","protected":false},"featured_media":9778,"parent":0,"template":"","meta":{"_acf_changed":false},"area-of-interest":[17],"news-events-category":[],"omic":[95],"content-type":[132],"class_list":["post-14488","new-and-event","type-new-and-event","status-publish","has-post-thumbnail","hentry","area-of-interest-basic-research","omic-multi-omics","content-type-training"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.9 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Building Shiny Applications with Artificial Intelligence: Integrating LLMs for biological Data Analysis - 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\/it\/new-and-event\/building-shiny-applications-with-artificial-intelligence-integrating-llms-for-biological-data-analysis\/\" \/>\n<meta property=\"og:locale\" content=\"it_IT\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Building Shiny Applications with Artificial Intelligence: Integrating LLMs for biological Data Analysis - Sequentia\" \/>\n<meta property=\"og:description\" content=\"What is this course about? 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