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:20220101T000000
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BEGIN:VEVENT
DTSTART;TZID=UTC:20230725T130000
DTEND;TZID=UTC:20230725T143000
DTSTAMP:20260505T081932
CREATED:20230614T132014Z
LAST-MODIFIED:20241024T182916Z
UID:10000650-1690290000-1690295400@staging.digitalinsights.supremeclients.com
SUMMARY:Delving into public single-cell RNA-seq data using QIAGEN OmicSoft and Ingenuity Pathway Analysis (IPA)
DESCRIPTION:Single-cell RNA-sequencing (scRNA-seq) is widely used to study tissue heterogeneity\, identify novel cell types\, study pathogenic mechanisms\, develop targeted therapies (including immunotherapy) and more. Accordingly\, scientists have deposited a tremendous amount of scRNA-seq data into public domains like GEO. \nIn this training\, you will learn how to: \n· Locate public single-cell studies of interest to you using QIAGEN Omicsoft Single Cell Lands \n· Study different cell types by dimension reduction plots (for example\, t-SNE\, UMAP) \n· Investigate expression of genes of interest across different cell types (Violin plots\, overlay expression on cluster) \n· Identify key pathways and regulators from scRNA-seq data using QIAGEN IPA
URL:https://staging.digitalinsights.supremeclients.com/webinars-and-events/delving-into-public-single-cell-rna-seq-data-using-qiagen-omicsoft-and-ingenuity-pathway-analysis-ipa/
LOCATION:Virtual - Americas - EST\, United States
CATEGORIES:Discovery,Training
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