BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Institute for Quantitative and Computational Biosciences - ECPv6.17.1//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:20180311T100000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
TZNAME:PST
DTSTART:20181104T090000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
TZNAME:PDT
DTSTART:20190310T100000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
TZNAME:PST
DTSTART:20191103T090000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
TZNAME:PDT
DTSTART:20200308T100000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
TZNAME:PST
DTSTART:20201101T090000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190425T093000
DTEND;TZID=America/Los_Angeles:20190425T123000
DTSTAMP:20190226T201343Z
CREATED:20190226T194844Z
LAST-MODIFIED:20190226T201343Z
UID:8903-1556184600-1556195400@qcb.ucla.edu
SUMMARY:Using NGS Analysis Tools - Day Three
DESCRIPTION:High-throughput sequencing technology involves a number of concepts and techniques that shape a project before application-specific processes are utilized. First\, this workshop introduces the more ÒuniversalÓ aspects of high-throughput sequence analysisÑfrom experimental design to sequencing and alignment methods. Next\, this workshop covers common file formats for sequence data and limitations of sequencing technologies. We will explore a hands-on exercise using the Hoffman2 cluster and will use programs designed to analyze read data\, clean artifact and low-quality sequences\, and align short reads to a reference genome. At the end of this workshop\, students will better understand the logic behind how many of these steps work. Students who are comfortable working with the command line will find this course significantly easier than those who are inexperienced in command-line interface. While Workshop 1 is not an absolute requirement\, it is highly recommended for any student who is not already experienced working in a command line environment. A student who takes this workshop at the same time as Workshop 1 should not find any problems with timing of material between these two classes.
URL:https://qcb.ucla.edu/event/using-ngs-analysis-tools-day-three-3/
LOCATION:The Collaboratory\, 610 Charles E Young Drive East - BOYER HALL ROOM 529\, Los Angeles\, CA\, 90095\, United States
CATEGORIES:Interactive Workshop
ATTACH;FMTTYPE=image/png:https://qcb.ucla.edu/wp-content/uploads/sites/14/2019/02/S19-07-W2-Using-NGS-Analysis-Tools.png
ORGANIZER;CN="QCB Collaboratory":MAILTO:collaboratory@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190425T133000
DTEND;TZID=America/Los_Angeles:20190425T163000
DTSTAMP:20190226T203338Z
CREATED:20190226T194844Z
LAST-MODIFIED:20190226T203338Z
UID:8906-1556199000-1556209800@qcb.ucla.edu
SUMMARY:Advanced Python - Day Three
DESCRIPTION:Python can be used to handle large datasets\, and is useful in manipulating data and plotting data trends for visual presentation. First\, this workshop introduces several more advanced topics in Python\, such as a brief overview of object-oriented Python\, use of the numpy and pandas libraries (Python libraries for efficient handling of large numeric and heterogenous datasets)\, and matplotlib for plotting results. At the end of this workshop\, students will better understand the python data structures for handling large datasets and will have some knowledge of how to manipulate these data and plot them for presentation.
URL:https://qcb.ucla.edu/event/advanced-python-day-three-3/
LOCATION:The Collaboratory\, 610 Charles E Young Drive East - BOYER HALL ROOM 529\, Los Angeles\, CA\, 90095\, United States
CATEGORIES:Interactive Workshop
ATTACH;FMTTYPE=image/png:https://qcb.ucla.edu/wp-content/uploads/sites/14/2019/02/S19-08-W18-Advanced-Python.png
ORGANIZER;CN="QCB Collaboratory":MAILTO:collaboratory@ucla.edu
END:VEVENT
END:VCALENDAR