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:20230312T000000
DTEND;TZID=UTC:20230312T235900
DTSTAMP:20260504T051554
CREATED:20230301T075831Z
LAST-MODIFIED:20241024T182832Z
UID:10000596-1678579200-1678665540@staging.digitalinsights.supremeclients.com
SUMMARY:Authenticated and reproducible cell line 'omics data
DESCRIPTION:Have you ever tried to access the genomic profiles of cell lines before using them in your preclinical experiments just to come up empty-handed? Maybe you’ve scoured public databases for gene expression information on your cell line to find the reported genomic profile doesn't match the cell line data you recently purchased? \nWe understand that knowing the genomic identity of your cell lines is fundamental to the success of your preclinical experiments. Unfortunately\, most publicly available sources have little or no cell line' omics data\, leaving you to fend for yourself. \nThat's why we've teamed up with ATCC\, the market leader in global biological materials and authenticated cell lines\, to deliver you manually curated cell line ‘omics data from the most popular cell lines offered by ATCC. We've collected this data into ATCC Cell Line Land\, our continually growing database of cell line 'omics data from both common and novel human and mouse cell lines\, primary tissues and cells from ATCC. ATCC Cell Line Land gives you access to standardized\, authenticated and reproducible cell line 'omics data characterizations which can be traced back to physical lots of cells in ATCC's biorepository. \nAttend our joint webinar with ATCC to learn about and explore ATCC Cell Line Land\, including: \n\nThe key limitations of public cell line data that drove its development\nHow we curate our data in the QIAGEN OmicSoft Lands framework\nWhy you can depend on the provenance of the data\nThe different types of 'omics data and metadata available\nHow it empowers you to plan and design your preclinical experiments more precisely\nHow to identify specific cell lines that express your gene of interest and those that don't\nHow to validate specific mutations from the literature\n\nWho should attend? Biologists\, preclinical researchers\, bioinformaticians\, data scientists \nClick here to register.
URL:https://staging.digitalinsights.supremeclients.com/webinars-and-events/authenticated-and-reproducible-cell-line-omics-data/
LOCATION:Virtual - Americas - EST\, United States
CATEGORIES:Discovery,Webinar
ATTACH;FMTTYPE=image/jpeg:https://staging.digitalinsights.supremeclients.com/wp-content/uploads/2024/05/S_1108_8_QDI_CLC_Challenger_Or54963_16x9_56810_Large-1200px-2.jpg
ORGANIZER;CN="Test organizer 1":MAILTO:test@test.test
END:VEVENT
END:VCALENDAR