BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//NUS CSI - ECPv6.11.0.1//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:NUS CSI
X-ORIGINAL-URL:https://csi.nus.edu.sg
X-WR-CALDESC:Events for NUS CSI
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:20190101T000000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=UTC:20190527T060000
DTEND;TZID=UTC:20190527T090000
DTSTAMP:20260408T111405
CREATED:20230120T001758Z
LAST-MODIFIED:20230120T001758Z
UID:47872-1558936800-1558947600@csi.nus.edu.sg
SUMMARY:Bioinformatics Club
DESCRIPTION:Title: Increase efficiency of OMICs data analysis and interpretation with MetaCoreSpeaker:  Sonya Novikova\, Solutions Scientist from Clarivate Analytics \nAbstract: \nMetaCore is a systems biology database with in-build tools and workflows for OMICs data analysis and biological interpretation. Data contained within MetaCore is industry leading in accuracy\, reliability\, and comprehensiveness\, manually curated by PhD and MD level research professionals and updated quarterly. Key Pathway Advisor (KPA)\, a MetaCore’s complementary solution\, enhances MetaCore’s data analysis workflows by using MetaCore’s content and state-of-the-art algorithms\, causal reasoning and Signaling Pathway Impact Anlaysis (SPIA)\, to predict key protein activity changes that could be the root cause for the changes observed in your data and shows how biological pathways are impacted by your data. Integrate your experimental research with manually-curated molecular interactions and pathways for pivotal insights and decision making\, particularly in \n\nIdentifying signaling pathways and processes affected by your gene lists or expression data Understand molecular mechanisms of disease and/or drug action\nOverlaying and visualize your gene lists or expression data on pathways and networks Enhance results interpretation and accuracy – find drug targets and/or biomarkers\nDiscovering key hubs overconnected to your genes (e.g. key transcription factors that potentially drive observed gene expression changes) Look beyond your gene list/ expression data – use network of interaction to find “hidden nodes”\nConnecting your molecules of interest to reveal hidden relationships Understand molecular mechanisms of disease and/or drug action\n\nAll are welcome. Bring your gene lists which you want to find out the pathways or interaction networks. The online access to the pathway/network analysis suites will be provided. However\, you will need to bring your own laptop for online trial analyses; Tea/Coffee and few snacks will be provided \nVenue: Conference room at Level 12\, MD6\nTime: May 27\, 2019\, 2.00-5.00pm (including 2+hr for online trial analyses with your own gene sets) \n 
URL:https://csi.nus.edu.sg/event/bioinformatics-club-2/
END:VEVENT
END:VCALENDAR