
BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Institute for Quantitative and Computational Biosciences - ECPv6.15.20//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:Institute for Quantitative and Computational Biosciences
X-ORIGINAL-URL:https://qcb.ucla.edu
X-WR-CALDESC:Events for Institute for Quantitative and Computational Biosciences
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:America/Los_Angeles
BEGIN:DAYLIGHT
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
TZNAME:PDT
DTSTART:20250309T100000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
TZNAME:PST
DTSTART:20251102T090000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
TZNAME:PDT
DTSTART:20260308T100000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
TZNAME:PST
DTSTART:20261101T090000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
TZNAME:PDT
DTSTART:20270314T100000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
TZNAME:PST
DTSTART:20271107T090000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260601T120000
DTEND;TZID=America/Los_Angeles:20260601T130000
DTSTAMP:20260421T063520
CREATED:20260331T212816Z
LAST-MODIFIED:20260331T212816Z
UID:29083-1780315200-1780318800@qcb.ucla.edu
SUMMARY:Bianca Dumitrascu (Columbia University) - Frontiers in Computational Biosciences Seminar Series
DESCRIPTION:Bianca Dumitrascu\, Assistant Professor\, Columbia University \nSpatial technologies for deconvolving disease phenotypes \nWatch recording on YouTube: https://www.youtube.com/channel/UCokAYrjf_TaziPtmn6l4-5A
URL:https://qcb.ucla.edu/event/frontiers-in-computational-biosciences-seminar-series-1-2-2-2-2-2-2/
LOCATION:Boyer Hall 159
CATEGORIES:Research Seminars
ATTACH;FMTTYPE=image/png:https://wp-misc.lifesci.ucla.edu/qcb/wp-content/uploads/sites/14/2026/03/Dumitrascu.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260602T090000
DTEND;TZID=America/Los_Angeles:20260604T120000
DTSTAMP:20260421T063520
CREATED:20191212T194026Z
LAST-MODIFIED:20260310T175041Z
UID:10814-1780390800-1780574400@qcb.ucla.edu
SUMMARY:W20: Single-Cell RNA-Seq Analysis with R
DESCRIPTION:This workshop aims to introduce the basic concepts and algorithms for single-cell RNA-seq analysis. It will help participants obtain a better idea of how to use scRNA-seq technology\, from considerations in experimental design to data analysis and interpretation. This workshop can serve researchers who are interested in designing an scRNA-seq study or who have acquired scRNA-seq data and would like to learn about different analytical approaches. \n\n\n 
URL:https://qcb.ucla.edu/event/w20-single-cell-rna-seq-analysis-2/
LOCATION:529 Boyer Hall\, 611 Charles E Young Dr E\,\, Los Angeles\, CA\, 90095\, United States
CATEGORIES:Workshops,Interactive Workshop
ATTACH;FMTTYPE=image/png:https://wp-misc.lifesci.ucla.edu/qcb/wp-content/uploads/sites/14/2020/02/1dNLbh0n_400x400.png
ORGANIZER;CN="QCB Collaboratory":MAILTO:collaboratory@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260602T133000
DTEND;TZID=America/Los_Angeles:20260604T163000
DTSTAMP:20260421T063520
CREATED:20230831T233616Z
LAST-MODIFIED:20260310T183654Z
UID:25332-1780407000-1780590600@qcb.ucla.edu
SUMMARY:W33: Electronic Health Records Analysis
DESCRIPTION:UCLA Health serves well over half a million patients annually\, and as a result\, UCLA possesses a vast database of Electronic Health Records (EHR). The stemming Discovery Data Repository (DDR) serves as an invaluable resource for researchers. This introductory workshop will cover the basics of writing queries to extract the relevant datasets for EHR-related research projects – from a simple list of patient visits to generating feature sets for complex phenotypes. Topics covered include introductory SQL\, medical record concepts and organization\, and best practices. Additionally\, an entire day is dedicated for the UCLA ATLAS Precision Health Biobank which integrates genetic information and de-identified medical records to enable precision health research. No prior experience with SQL nor health records are assumed.
URL:https://qcb.ucla.edu/event/w33-analysis-of-electronic-health-records/
LOCATION:529 Boyer Hall\, 611 Charles E Young Dr E\,\, Los Angeles\, CA\, 90095\, United States
CATEGORIES:Workshops,Interactive Workshop
ATTACH;FMTTYPE=image/png:https://wp-misc.lifesci.ucla.edu/qcb/wp-content/uploads/sites/14/2020/02/1dNLbh0n_400x400.png
ORGANIZER;CN="QCB Collaboratory":MAILTO:collaboratory@ucla.edu
END:VEVENT
END:VCALENDAR