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:20260419T072453 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 BEGIN:VEVENT DTSTART;TZID=Europe/Prague:20251201T150000 DTEND;TZID=Europe/Prague:20251201T150000 DTSTAMP:20260419T072453 CREATED:20251020T111027Z LAST-MODIFIED:20251020T111314Z UID:2429-1764601200-1764601200@www.biomed.cas.cz SUMMARY:Metabolomics and lipidomics: platforms\, pitfalls\, and practical tips DESCRIPTION:Doc. Ing. Tomáš Čajka Ph.D.\, Fyziologický ústav AV ČR\, bude zajišťovat  21 th Metodologický seminář Krč – Biocev na téma: \n„Metabolomics and lipidomics: platforms\, pitfalls\, and practical tips“\, který se bude konat 1.12.2025 od 15\,00 hodin v Kinosále FGÚ. \nAnotace: \nMetabolomics and lipidomics are rapidly advancing fields that have transformed our understanding of biological processes at the molecular level. Yet\, designing an appropriate workflow and selecting from the many available analytical options can be challenging [1]. Since 2018\, the Metabolomics Core Facility at the Institute of Physiology CAS (https://metabolomics.fgu.cas.cz) has offered fee-based services for analyzing polar metabolites\, complex lipids\, and exposome compounds (including drugs) in biological materials [2]. The scope of these services has steadily expanded\, with approximately 5\,000 samples analyzed annually using a multiplatform liquid chromatography–mass spectrometry (LC–MS) approach. This lecture will present the current untargeted LC–MS platforms (LIMeX workflow) and introduce upcoming platforms. We will also discuss common pitfalls related to study design\, metabolome coverage\, and statistical analysis. \n[1] Rakusanova & Cajka\, Trends Anal Chem 180 (2024) 117940 (doi: 10.1016/j.trac.2024.117940) \n[2] Cajka et al.\, Int J Mol Sci 324 (2023) 1987 (doi: 10.3390/ijms24031987) URL:https://www.biomed.cas.cz/event/metabolomics-and-lipidomics-platforms-pitfalls-and-practical-tips/ LOCATION:Kinosal\, Vídeňská 1083\, Praha ORGANIZER;CN="FGU":MAILTO:Olga.Zimmermannova@fgu.cas.cz END:VEVENT END:VCALENDAR