BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Institute for Quantitative and Computational Biosciences - ECPv6.15.20//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
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:20260428T090000
DTEND;TZID=America/Los_Angeles:20260430T120000
DTSTAMP:20260421T050751
CREATED:20230831T231651Z
LAST-MODIFIED:20260310T172629Z
UID:25316-1777366800-1777550400@qcb.ucla.edu
SUMMARY:W21: Image Processing for Microscopy
DESCRIPTION:The analysis of imaging datasets is both exciting and challenging. New and increasingly powerful techniques try to maximize the information derived from multi-dimensional imaging datasets. Yet\, every dataset can be a unique analysis challenge\, and packages may not always work out-of-the-box. In this workshop\, we will explore some popular computational tools to extract quantitative information from imaging data. Our focus will be to first grasp the principles underlying image analysis\, and see how they can be logically applied to different kinds of imaging datasets. We will cover image generation\, filtering\, object identification\, measurement of object properties\, and the basics of object tracking. Through a series of stepwise hands-on exercises for each concept\, we will build up to the goal of designing a full image analysis pipeline. Some programming experience in Python is highly recommended (but optional). Participants are also welcome to bring their own images and videos for discussion.
URL:https://qcb.ucla.edu/event/w21-image-processing-for-microscopy/
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:20260428T133000
DTEND;TZID=America/Los_Angeles:20260430T163000
DTSTAMP:20260421T050751
CREATED:20250318T222538Z
LAST-MODIFIED:20260310T172624Z
UID:27794-1777383000-1777566600@qcb.ucla.edu
SUMMARY:W26: Protein Structure with AlphaFold
DESCRIPTION:The goal of the workshop is to enable the participants to submit\nand rationally evaluate results of the AlphaFold protein structure\npredictions. The class will cover the basic principles of the\nstructural biology of proteins\, protein structure visualization\n(in pymol) and protein structure prediction. The participants will\nhave opportunity to generate AlphaFold predictions for a protein\nsequence/sequences of their choice and interpret the results\n(provided these will be meaningful) \nNote: Depending on interest\, there might be a limit on the number\nof predictions generated for workshop participants; Workshop\nparticipants interested in generating novel AlphaFold predictions\nare encouraged to provide the protein sequence(s) of interest\nand a short (on or two sentences) description of each protein.
URL:https://qcb.ucla.edu/event/w26-protein-structure-with-alphafold/
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