BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Bioinformatics Software | QIAGEN Digital Insights - ECPv6.15.20//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-ORIGINAL-URL:https://staging.digitalinsights.supremeclients.com
X-WR-CALDESC:Events for Bioinformatics Software | QIAGEN Digital Insights
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:UTC
BEGIN:STANDARD
TZOFFSETFROM:+0000
TZOFFSETTO:+0000
TZNAME:UTC
DTSTART:20230101T000000
END:STANDARD
END:VTIMEZONE
BEGIN:VTIMEZONE
TZID:America/New_York
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20230312T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20231105T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20240310T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20241103T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20250309T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20251102T060000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=UTC:20240215T080000
DTEND;TZID=UTC:20240215T170000
DTSTAMP:20260504T051924
CREATED:20260504T051924Z
LAST-MODIFIED:20241024T183022Z
UID:10000730-1707984000-1708016400@staging.digitalinsights.supremeclients.com
SUMMARY:Single Cell RNA-Seq\, Cell Hashing\, and Spatial Transcriptomics
DESCRIPTION:In this training\, you will learn how to analyze and interpret your own single-cell RNA-seq data using QIAGEN CLC Genomics Workbench starting with either FASTQ or matrix files. \nUsing CLC Genomics Workbench\, you will learn how to perform secondary analysis on your single-cell RNA-seq data. Specifically\, you will learn how to:\n• Import your raw FASTQ or processed cell-matrix files.\n• Use pre-configured but customizable pipelines/workflows for single-cell RNA-seq data.\n• Generate high-resolution visuals and other files from your analysis for publications and biopharmaceutical discoveries.\no Dimension reduction (UMAP\, t-SNE) plots\no Differential expression table for clusters\, cell types\, or a combination of both\no Heat map\no Dot plots\no Violin plots\n• Learn how to use “Create Cell Annotations from Hashtags” for cell hashing (i.e.\, CITE-seq).\n• Dive into spatial transcriptomic analysis\, the latest feature in the single cell RNA-seq module.
URL:https://staging.digitalinsights.supremeclients.com/webinars-and-events/single-cell-rna-seq-cell-hashing-and-spatial-transcriptomics/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240215T130000
DTEND;TZID=America/New_York:20240215T143000
DTSTAMP:20260504T051924
CREATED:20240215T173235Z
LAST-MODIFIED:20241024T183022Z
UID:10000729-1708002000-1708007400@staging.digitalinsights.supremeclients.com
SUMMARY:ATCC cell line data utilization for cell line selection\, validation and other applications
DESCRIPTION:Cancer cell line models have been a cornerstone of cancer research for decades. Profiling cancer cell lines can be a powerful tool to identify gene alterations or cancer-related pathways and aid in discovering putative drug targets. In this webinar\, we'll use QIAGEN OmicSoft Lands and QIAGEN Ingenuity Pathway Analysis (IPA) to help you select cell lines and translate insights from your cell line experiments for drug target discovery. \nDuring this 90-minute discussion\, we'll explore how you can use these software tools to:\n• Select appropriate cancer cell lines for a variety of applications such as drug discovery\, precision disease modeling\, understanding gene function in cancer\, immune-oncology research and more\n• Examine various 'omics data for genes of interest for expression\, mutation\, hotspots and gene dependency data\n• Generate networks for hypotheses and test them in silico to improve the translation of insights derived from cell line models to the drug target identification\n• Integrate analyses of public 'omics data and drug response phenotypes using cell line model systems by exploring data from the Library of Integrated Network-Based Cellular Signatures (LINCS)\n• Prioritize drug targets and profile phenotypic/downstream effects of drug action by overlaying public data on user-generated networks \nOur system uses millions of curated literature findings from QIAGEN Knowledge Base and the OmicSoft digital warehouse. This discussion is intended for both those familiar with QIAGEN IPA and newcomers interested in learning more.
URL:https://staging.digitalinsights.supremeclients.com/webinars-and-events/atcc-cell-line-data-utilization-for-cell-line-selection-validation-and-other-applications/
LOCATION:Virtual - Americas - EST\, United States
CATEGORIES:Discovery,Webinar
ATTACH;FMTTYPE=image/jpeg:https://staging.digitalinsights.supremeclients.com/wp-content/uploads/2024/05/S_1276_1_QDI_QDI_ATCC_Generic.jpg
END:VEVENT
END:VCALENDAR