BEGIN:VCALENDAR VERSION:2.0 PRODID:-//PR Statistics - ECPv6.10.0//NONSGML v1.0//EN CALSCALE:GREGORIAN METHOD:PUBLISH X-WR-CALNAME:PR Statistics X-ORIGINAL-URL:https://prstats.preprodw.com X-WR-CALDESC:Events for PR Statistics REFRESH-INTERVAL;VALUE=DURATION:PT1H X-Robots-Tag:noindex X-PUBLISHED-TTL:PT1H BEGIN:VTIMEZONE TZID:Europe/London BEGIN:DAYLIGHT TZOFFSETFROM:+0000 TZOFFSETTO:+0100 TZNAME:BST DTSTART:20230326T010000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:+0100 TZOFFSETTO:+0000 TZNAME:GMT DTSTART:20231029T010000 END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTART;VALUE=DATE:20230310 DTEND;VALUE=DATE:20230311 DTSTAMP:20260419T070021 CREATED:20230118T151219Z LAST-MODIFIED:20230301T114349Z UID:10000423-1678406400-1678492799@prstats.preprodw.com SUMMARY:ONLINE COURSE - Introduction to Multi’omics Data Analysis from Microbial Communities (MOMC01) This course will be delivered live DESCRIPTION:Delivered remotely (USA east)\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Event Date \nFriday\, March 10th\, 2023\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Course Format\nThis is a ‘LIVE COURSE’ – the instructor will be delivering lectures and coaching attendees through the accompanying computer practical’s via video link\, a good internet connection is essential. \nCourse Program\nTIME ZONE – UTC+2 \n \n \n \n \n \n \n \n \n \n \n Course Details\n The aim of this one-day workshop is to provide a thorough introduction to computational\napproaches for the analysis of microbial community profiles with a focus on metagenomic\nsequencing data. We will explain how taxonomic and functional profiles are generated from\nraw sequencing data\, introduce different bioinformatic approaches to process sequencing\ndata\, followed by multivariate statistical analysis and different visualization techniques. The\ncourse will consist of a mixture of lectures and hands-on tutorials. The practical part of the\ncourse will focus on the analysis of publicly available multi-omics profiles. \nBy the end of the course participants should:\n1. Be familiar with different workflows involved in the analysis of large-scale multi-\nomics studies.\n2. Understand how to generate taxonomic\, functional and strain profiles from\nmetagenomic sequencing data.\n3. Be familiar with applying a multivariate statistical framework to generate hypotheses\nand account for confounding covariates.\n4. Be able to use exploratory data visualizations techniques and visualize results from\nthe statistical analysis using R.\n \n \n \n \n \n Intended Audiences\n Academics\, post-graduate students and researchers working on projects related to microbial community studies\, who want to learn computational approaches for the analysis of high-dimensional sequencing data.\n \n \n \n \n \n Venue\n Venue –  Delivered remotely\n \n \n \n \n \n Course Information\n \nTime zone – GMT \nAvailability – 20 places \nDuration – 1 day \nContact hours – Approx. 7 hours \nECT’s – Equal to 1 ECT \nLanguage – English \n\n\n\n\n\n\n\n\n \n \n \n \n \n Teaching Format\n \n\n\nThe course will be held virtually and consists of a mixture of theoretical and practical\nsessions. The concepts and tools will be first described and explained\, followed by a lab\nsession with hands-on experience of applying the tool to provided data sets. At the end of\nthe day there will be additional time for questions. \n\n\n\n \n \n \n \n \n Assumed quantitative knowledge\n Attendees are assumed to have a basic understanding of microbial community studies. The\ncourse will not cover data generation aspects (sample collection\, library preparation etc) but\nfocus on how to analyse sequencing data and taxonomic/functional microbial community\nprofiles.\n \n \n \n \n \n Assumed computer background\n Familiarity with the command line interface (bash/shell) and R is an advantage. We will offer\nshort introductory labs for both to make the course more accessible to a wider audience.\nWe also encourage attendees to get familiar with zoom prior to the course.\n \n \n \n \n \n Equipment and software requirements\n Attendees are expected to have their own laptop with a microphone and ideally a camera.\nWe encourage all attendees to keep their camera on during the lectures and tutorials. Zoom\nshould be installed prior to the course. For the tutorials will use R Studio Cloud which you\ncan access through your browser. The setup instructions for R Studio Cloud will be sent prior\nto the course start. \nRStudio – https://www.rstudio.com/products/rstudio/download/\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n PLEASE READ – CANCELLATION POLICY \nCancellations are accepted up to 28 days before the course start date subject to a 25% cancellation fee. Cancellations later than this may be considered\, contact oliverhooker@prstatistics.com. Failure to attend will result in the full cost of the course being charged. In the unfortunate event that a course is cancelled due to unforeseen circumstances a full refund of the course fees will be credited.\n \n \n \n \n \n If you are unsure about course suitability\, please get in touch by email to find out more \noliverhooker@prstatistics.com\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n COURSE PROGRAMME\n\nFriday 10th – Classes from 09:00 to 18:00 \nLecture 1 – general Introduction \nLecture 2 – Introduction to microbial community analysis \nPractical 1 – Introduction to R and R notebook \nLecture 3 – Metagenomic data visualisation and exploratory analysis with cMD \nPractical 2 – Metagenomic data visualisation \nLecture 4 – Statistics for microbial multi-comics data\, methods for multi-comics integration \nPractical 3 – Multivariate analysis (Linear models and/or MaAsLin2 \nLecture 5 – Large-scale multi-omics studies \nConclusions – Discussion\, questions\, wrap up! \n\n \n \n \n \n \n Course Instructor\n  \nDr. Melanie Schirmer\nMelanie is a computational biologist studying the human microbiome and its role in health and disease as an Emmy Noether Group leader at the Technical University in Munich\, Germany. In many diseases\, such as chronic inflammatory bowel diseases and immune-related diseases\, an imbalance of the microbial communities\, that live in and on our bodies\, has been observed. The underlying reasons and consequences of this imbalance are largely unknown though. Previous studies have identified taxonomic changes of the microbiome and disease-associated bacterial species. However\, different strains of the same species can substantially differ in their functional capacities. Therefore\, it is crucial to investigate functional and metabolic differences of microbial strains\, in order to develop effective therapies and strategies to prevent these diseases. We are addressing these questions with computational analyses of multi-omics data in combination with experimental validation of the immunogenicity and inflammatory activity of the identified strains. Our research provides insights into the potential mechanisms of the human microbiome in autoimmune and inflammatory diseases. \nWorks at – Technical University of Munich \nTeaches – Introduction to Multi’omics Data Analysis of Microbial Communities (MOMC) URL:https://prstats.preprodw.com/course/introduction-to-multiomics-data-analysis-from-microbial-communities-momc01/ LOCATION:Delivered remotely (USA east)\, Eastern Daylight Time\, MD\, United States CATEGORIES:All Live Courses,Home Courses,Live Online Courses ATTACH;FMTTYPE=image/jpeg:https://prstats.preprodw.com/wp-content/uploads/2020/11/MOMC01.jpg GEO:56.4906712;-4.2026458 END:VEVENT END:VCALENDAR