BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Bioinformatics Software | QIAGEN Digital Insights - ECPv6.15.20//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:Bioinformatics Software | QIAGEN Digital Insights
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
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=UTC:20230516T100000
DTEND;TZID=UTC:20230516T113000
DTSTAMP:20260504T073935
CREATED:20230418T123846Z
LAST-MODIFIED:20241024T182856Z
UID:10000633-1684231200-1684236600@staging.digitalinsights.supremeclients.com
SUMMARY:How to improve your existing pipeline for somatic mutation analysis\, interpretation and reporting: Part 2
DESCRIPTION:We are excited to bring thought leaders\, NGS experts\, lab directors\, variant scientists\, clinicians\, and oncologists under one virtual roof at our second annual Clinical Oncology Summit hosted on April 27 and May 18\, 2023. \nThe two-part\, content-rich event will feature invited lectures from lab directors and clinical geneticists\, thought-provoking discussions on the future of comprehensive genomic profiling\, and educational presentations on the latest databases\, software\, and services for somatic secondary and tertiary analysis. Designed to help clinical diagnostic labs understand how they can optimize their current pipelines for somatic NGS analysis\, interpretation and reporting\, the Clinical Oncology Summit is a must-attend event for labs who need to reduce turnaround time\, improve operational costs\, and scale for higher throughput. \nMeet the speakers and view the full agenda here.
URL:https://staging.digitalinsights.supremeclients.com/webinars-and-events/how-to-improve-your-existing-pipeline-for-somatic-mutation-analysis-interpretation-and-reporting-part-2-2/
LOCATION:Virtual - EMEA - CET
CATEGORIES:Clinical,Webinar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20230516T130000
DTEND;TZID=UTC:20230516T143000
DTSTAMP:20260504T073935
CREATED:20230418T124321Z
LAST-MODIFIED:20241024T182856Z
UID:10000634-1684242000-1684247400@staging.digitalinsights.supremeclients.com
SUMMARY:Pathway and network analysis on different types of lists with QIAGEN IPA
DESCRIPTION:You may not have a typical transcriptomics dataset (i.e.\, a list of genes with differential expression)\, yet\, you’d like to analyze a list of IDs. In this training\, we will explore how to perform pathway and network analysis for lists of IDs in QIAGEN IPA.\nExamples of lists that we’ll explore include:\n• A gene/protein/metabolite list coming from a paper\, generated in a lab or from a collaborator without differential expression\n• A list of RS IDs for variants with or without numerical values such as p-values\n• A list of proteins with Z-score (or other numerical value) calculated outside of IPA\n• Other lists where you have mainly IDs and but no differential expression data \nIn this IPA training\, you’ll learn how to:\n• Upload and perform a pathway analysis (also known as core analysis) on a list of genes\, proteins\, metabolites or other types of IDs\n• Open and investigate pathways and networks for understanding biological mechanisms\n• Compare between analyses to identify similarities and differences for applications such as biomarker discovery\n• Generate a custom network and contextualize it using public data
URL:https://staging.digitalinsights.supremeclients.com/webinars-and-events/pathway-and-network-analysis-on-different-types-of-lists-with-qiagen-ipa/
LOCATION:Virtual - Americas - EST\, United States
CATEGORIES:Discovery,Webinar
END:VEVENT
END:VCALENDAR