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TZID:America/New_York
X-LIC-LOCATION:America/New_York
BEGIN:STANDARD
DTSTART:20241103T020000
RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11
TZNAME:EST
TZOFFSETFROM:-0400
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BEGIN:DAYLIGHT
DTSTART:20250309T020000
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DESCRIPTION:In-person  Registration required Description: Cytoscape is wid
 ely used open-source tools for the analysis and visualization of omics ne
 tworked data e.g.\, proteomics\, transcriptomics\, metabolomics. Its algo
 rithms and complementary apps allow for the exploration of complex intera
 ctions between experimentally generated molecules\, and the subsequent pr
 ediction of functions and pathways. This introductory session will provid
 e an overview on how to use Cytoscape and the STRING app to analyze and f
 unctionally annotate a protein-protein interaction network generated from
  differentially expressed genes or differentially abundant proteins. Duri
 ng thesession\, we will use a tutorial dataset that will be made availabl
 e to all the registrants. The goals of the session are: Learning how to l
 oad datasets and generate a protein interaction network using STRING. Und
 erstanding data visualization and learning how to navigate the network. U
 ploading molecule-associated data (e.g.\, fold changes\, p-values) and vi
 sualizing it and other data annotations. Learning how to identify cluster
 s and key nodes (hubs). Learning how to do pathway analysis of the result
 ing network and clusters. Requisite: Download and install Cytoscape Atten
 dees to this workshop may also be interested in attending the workshops: 
 Part 1 Overrepresentation Analysis \, and Part 2 Gene Set Enrichment Anal
 ysis\n\nSpeaker:\nRolando Garcia-Milian\n\nAdmission:\nFree\n\nDetails UR
 L:\nhttps://medicine.yale.edu/event/functional-analysis-of-omics-data-par
 t-3-protein-interaction-network-analysis-and-visualization/\n
DTEND;TZID=America/New_York:20250930T120000
DTSTAMP:20261021T062111Z
DTSTART;TZID=America/New_York:20250930T100000
GEO:41.303333;-72.933741
LOCATION:Harvey Cushing/John Hay Whitney Medical Library \, L111\, 333 Ced
 ar Street\, New Haven\, CT\, United States
SEQUENCE:0
STATUS:Confirmed
SUMMARY:Functional Analysis of Omics Data: Part 3
UID:05ba9053-3667-4a10-a468-972c6bc37ed0
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