BEGIN:VCALENDAR VERSION:2.0 PRODID:-// - ECPv6.6.3//NONSGML v1.0//EN CALSCALE:GREGORIAN METHOD:PUBLISH X-ORIGINAL-URL:https://www.biomed.cas.cz X-WR-CALDESC:Akce na REFRESH-INTERVAL;VALUE=DURATION:PT1H X-Robots-Tag:noindex X-PUBLISHED-TTL:PT1H BEGIN:VTIMEZONE TZID:Europe/Prague BEGIN:DAYLIGHT TZOFFSETFROM:+0100 TZOFFSETTO:+0200 TZNAME:CEST DTSTART:20250330T010000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:+0200 TZOFFSETTO:+0100 TZNAME:CET DTSTART:20251026T010000 END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTART;VALUE=DATE:20251201 DTEND;VALUE=DATE:20251204 DTSTAMP:20260510T203615 CREATED:20251107T103704Z LAST-MODIFIED:20251107T103704Z UID:2438-1764547200-1764806399@www.biomed.cas.cz SUMMARY:Course on scRNA-seq Data Analysis - IMG DESCRIPTION:Single-cell RNA sequencing (scRNA-seq) allows researchers to study gene expression at the level of individual cells. This approach can\, for example\, help to identify different cell populations in a complex sample and describe their expression patterns. To generate and analyse scRNA-seq data\, several methods are available\, all with their strengths and weaknesses depending on the researchers’ needs. This 3-day course will cover the main technologies as well as the main aspects to consider while designing an scRNA-seq experiment. In particular\, it will combine the theoretical background of analytical methods with hands-on data analysis sessions focused on data generated by droplet-based platforms.\n\nBy the end of the course\, participants will possess the following abilities:\n • Distinguish advantages and pitfalls of scRNA-seq.\n • Design their own scRNA-seq experiment\, using common technologies like 10× Genomics.\n • Apply quality control (QC) measures and utilise analysis tools to preprocess scRNA-seq data.\n • Apply normalisation\, scaling\, dimensionality reduction\, integration and clustering on scRNA-seq data using R.\n • Differentiate between cell annotation techniques to identify and characterise cell populations.\n • Use differential gene expression analysis methods on scRNA-seq data to gain biological insights.\n • Select enrichment analysis methods appropriate to the biological question and data.\n • Develop an scRNA-seq data analysis workflow from raw count matrix to differential gene expression with peer support and light guidance.\n\nMore information and registration at https://www.elixir-czech.cz/events/course-on-scrna-seq-data-analysis-2025\n\nOn behalf of the organisers\,\n\nMichal Kolář\n\n—\nLaboratory of Genomics and Bioinformatics\nInstitute of Molecular Genetics of the Czech Academy of Sciences\nVidenska 1083\n142 20 Prague 4\nCzech Republic\n\nPhone +420 241 063 412\nEmail kolarmi@img.cas.cz URL:https://www.biomed.cas.cz/event/course-on-scrna-seq-data-analysis-img/ LOCATION:Posluchárna 0.195 / Lecture room 0.195 ORGANIZER;CN="%C3%9AMG":MAILTO:leona.krausova@img.cas.cz END:VEVENT END:VCALENDAR