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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
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190424T133000
DTEND;TZID=America/Los_Angeles:20190424T163000
DTSTAMP:20260618T164307
CREATED:20190226T194844Z
LAST-MODIFIED:20190226T201319Z
UID:8905-1556112600-1556123400@qcb.ucla.edu
SUMMARY:Advanced Python - Day Two
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-two-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://wp-misc.lifesci.ucla.edu/qcb/wp-content/uploads/sites/14/2019/02/S19-08-W18-Advanced-Python.png
ORGANIZER;CN="QCB Collaboratory":MAILTO:collaboratory@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190424T093000
DTEND;TZID=America/Los_Angeles:20190424T123000
DTSTAMP:20260618T164307
CREATED:20190226T194843Z
LAST-MODIFIED:20190226T201239Z
UID:8902-1556098200-1556109000@qcb.ucla.edu
SUMMARY:Using NGS Analysis Tools - Day Two
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-two-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://wp-misc.lifesci.ucla.edu/qcb/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:20190423T133000
DTEND;TZID=America/Los_Angeles:20190423T163000
DTSTAMP:20260618T164307
CREATED:20190226T194844Z
LAST-MODIFIED:20190226T201111Z
UID:8904-1556026200-1556037000@qcb.ucla.edu
SUMMARY:Advanced Python - Day One
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-one-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://wp-misc.lifesci.ucla.edu/qcb/wp-content/uploads/sites/14/2019/02/S19-08-W18-Advanced-Python.png
ORGANIZER;CN="QCB Collaboratory":MAILTO:collaboratory@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190423T093000
DTEND;TZID=America/Los_Angeles:20190423T123000
DTSTAMP:20260618T164307
CREATED:20190226T194843Z
LAST-MODIFIED:20190226T201047Z
UID:8901-1556011800-1556022600@qcb.ucla.edu
SUMMARY:Using NGS Analysis Tools - Day One
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-one-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://wp-misc.lifesci.ucla.edu/qcb/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:20190419T120000
DTEND;TZID=America/Los_Angeles:20190419T130000
DTSTAMP:20260618T164307
CREATED:20190419T155936Z
LAST-MODIFIED:20190419T155936Z
UID:9337-1555675200-1555678800@qcb.ucla.edu
SUMMARY:Michael Mina\, MD\, PhD - "Interpreting the human antibody repertoire: Elucidating measles immune consequences & building the foundations of a Global Immunological Observatory”
DESCRIPTION:The UCLA Institute for Quantitative and Computational Biosciences and the Department of Computational Medicine is co-sponsoring an event on April 19\, 2019 in Boyer Hall\, Room 159 at 12:00pm. Michael Mina\, MD\, PhD is a resident physician from Brigham & Women’s Hospital/Harvard Medical School\, and he will be visiting to speak for this research lunch event. This event is hosted by Dr. Jamie Lloyd-Smith.   \n*Lunch will be provided*
URL:https://qcb.ucla.edu/event/michael-mina-md-phd-interpreting-the-human-antibody-repertoire-elucidating-measles-immune-consequences-building-the-foundations-of-a-global-immunological-observatory/
LOCATION:Boyer 159
CATEGORIES:Research Meetings
ATTACH;FMTTYPE=image/png:https://wp-misc.lifesci.ucla.edu/qcb/wp-content/uploads/sites/14/2019/04/MichaelMinaMDPhDEvent.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190418T133000
DTEND;TZID=America/Los_Angeles:20190418T153000
DTSTAMP:20260618T164307
CREATED:20190226T194842Z
LAST-MODIFIED:20190226T200947Z
UID:8900-1555594200-1555601400@qcb.ucla.edu
SUMMARY:Introduction to Modern Statistics - Day Three
DESCRIPTION:Workshop attendees will walk away knowing when and how to run modern versions of traditional statistical analysis. First\, this workshop introduces tests and underlying bioinformatical lessons about resampling which are useful to most scientific disciplines. This workshop makes no assumptions about familiarity with traditional statistics; we will simply go through relatable experimental examples and ask how to test various hypotheses\, introducing the relevant methods along the way. Next\, this workshop covers how to best deal with common questions in experimental analysis: What tests can be applied to small sample sizes? When can one assume linearity in the data? What to do with non-Gaussian data / residuals? How does one best detect and justify removing outliers? Which estimators are appropriate with highly non-continuous samples?
URL:https://qcb.ucla.edu/event/introduction-to-modern-statistics-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://wp-misc.lifesci.ucla.edu/qcb/wp-content/uploads/sites/14/2019/02/S19-06-W14-Intro-to-Modern-Stats.png
ORGANIZER;CN="QCB Collaboratory":MAILTO:collaboratory@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190418T093000
DTEND;TZID=America/Los_Angeles:20190418T123000
DTSTAMP:20260618T164307
CREATED:20190226T194841Z
LAST-MODIFIED:20190226T200913Z
UID:8897-1555579800-1555590600@qcb.ucla.edu
SUMMARY:Machine Learning in Python - Day Three
DESCRIPTION:Applications of Machine Learning can be used to analyze biological data without the need of advanced programming skills. For example\, Machine Learning techniques can be used to construct predictive models based on a set of training examples\, to remove noise and spurious artifacts from data (e.g. photobleaching)\, or to help visualize trends within high dimensional datasets\, etc. First\, this workshop introduces the basic principles involved in the applications mentioned above\, such as pattern recognition\, linear and non-linear regression\, and cluster analysis. This workshop will be oriented towards hands-on activities\, starting from the basics of how to load and prepare biological datasets in a Python environment. By the end of this workshop\, students will be able to use Scikit-Learn’s documentation (and other libraries) to build models based on their own data\, assess their performance\, and make new predictions. Although no advanced knowledge will be assumed\, students are encouraged to attend to the Advanced Python and Modern Statistics workshops.
URL:https://qcb.ucla.edu/event/machine-learning-in-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://wp-misc.lifesci.ucla.edu/qcb/wp-content/uploads/sites/14/2019/02/S19-05-W17-Machine-Learning.png
ORGANIZER;CN="QCB Collaboratory":MAILTO:collaboratory@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190417T133000
DTEND;TZID=America/Los_Angeles:20190417T153000
DTSTAMP:20260618T164307
CREATED:20190226T194842Z
LAST-MODIFIED:20190226T200842Z
UID:8899-1555507800-1555515000@qcb.ucla.edu
SUMMARY:Introduction to Modern Statistics - Day Two
DESCRIPTION:Workshop attendees will walk away knowing when and how to run modern versions of traditional statistical analysis. First\, this workshop introduces tests and underlying bioinformatical lessons about resampling which are useful to most scientific disciplines. This workshop makes no assumptions about familiarity with traditional statistics; we will simply go through relatable experimental examples and ask how to test various hypotheses\, introducing the relevant methods along the way. Next\, this workshop covers how to best deal with common questions in experimental analysis: What tests can be applied to small sample sizes? When can one assume linearity in the data? What to do with non-Gaussian data / residuals? How does one best detect and justify removing outliers? Which estimators are appropriate with highly non-continuous samples?
URL:https://qcb.ucla.edu/event/introduction-to-modern-statistics-day-two-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://wp-misc.lifesci.ucla.edu/qcb/wp-content/uploads/sites/14/2019/02/S19-06-W14-Intro-to-Modern-Stats.png
ORGANIZER;CN="QCB Collaboratory":MAILTO:collaboratory@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190417T093000
DTEND;TZID=America/Los_Angeles:20190417T123000
DTSTAMP:20260618T164307
CREATED:20190226T194841Z
LAST-MODIFIED:20190226T200707Z
UID:8896-1555493400-1555504200@qcb.ucla.edu
SUMMARY:Machine Learning in Python - Day Two
DESCRIPTION:Applications of Machine Learning can be used to analyze biological data without the need of advanced programming skills. For example\, Machine Learning techniques can be used to construct predictive models based on a set of training examples\, to remove noise and spurious artifacts from data (e.g. photobleaching)\, or to help visualize trends within high dimensional datasets\, etc. First\, this workshop introduces the basic principles involved in the applications mentioned above\, such as pattern recognition\, linear and non-linear regression\, and cluster analysis. This workshop will be oriented towards hands-on activities\, starting from the basics of how to load and prepare biological datasets in a Python environment. By the end of this workshop\, students will be able to use Scikit-Learn’s documentation (and other libraries) to build models based on their own data\, assess their performance\, and make new predictions. Although no advanced knowledge will be assumed\, students are encouraged to attend to the Advanced Python and Modern Statistics workshops.
URL:https://qcb.ucla.edu/event/machine-learning-in-python-day-two-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://wp-misc.lifesci.ucla.edu/qcb/wp-content/uploads/sites/14/2019/02/S19-05-W17-Machine-Learning.png
ORGANIZER;CN="QCB Collaboratory":MAILTO:collaboratory@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190416T133000
DTEND;TZID=America/Los_Angeles:20190416T153000
DTSTAMP:20260618T164307
CREATED:20190226T194842Z
LAST-MODIFIED:20190226T200601Z
UID:8898-1555421400-1555428600@qcb.ucla.edu
SUMMARY:Introduction to Modern Statistics - Day One
DESCRIPTION:Workshop attendees will walk away knowing when and how to run modern versions of traditional statistical analysis. First\, this workshop introduces tests and underlying bioinformatical lessons about resampling which are useful to most scientific disciplines. This workshop makes no assumptions about familiarity with traditional statistics; we will simply go through relatable experimental examples and ask how to test various hypotheses\, introducing the relevant methods along the way. Next\, this workshop covers how to best deal with common questions in experimental analysis: What tests can be applied to small sample sizes? When can one assume linearity in the data? What to do with non-Gaussian data / residuals? How does one best detect and justify removing outliers? Which estimators are appropriate with highly non-continuous samples?
URL:https://qcb.ucla.edu/event/introduction-to-modern-statistics-day-one-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://wp-misc.lifesci.ucla.edu/qcb/wp-content/uploads/sites/14/2019/02/S19-06-W14-Intro-to-Modern-Stats.png
ORGANIZER;CN="QCB Collaboratory":MAILTO:collaboratory@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190416T093000
DTEND;TZID=America/Los_Angeles:20190416T123000
DTSTAMP:20260618T164307
CREATED:20190226T194841Z
LAST-MODIFIED:20190226T200453Z
UID:8895-1555407000-1555417800@qcb.ucla.edu
SUMMARY:Machine Learning in Python - Day One
DESCRIPTION:Applications of Machine Learning can be used to analyze biological data without the need of advanced programming skills. For example\, Machine Learning techniques can be used to construct predictive models based on a set of training examples\, to remove noise and spurious artifacts from data (e.g. photobleaching)\, or to help visualize trends within high dimensional datasets\, etc. First\, this workshop introduces the basic principles involved in the applications mentioned above\, such as pattern recognition\, linear and non-linear regression\, and cluster analysis. This workshop will be oriented towards hands-on activities\, starting from the basics of how to load and prepare biological datasets in a Python environment. By the end of this workshop\, students will be able to use Scikit-Learn’s documentation (and other libraries) to build models based on their own data\, assess their performance\, and make new predictions. Although no advanced knowledge will be assumed\, students are encouraged to attend to the Advanced Python and Modern Statistics workshops.
URL:https://qcb.ucla.edu/event/machine-learning-in-python-day-one-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://wp-misc.lifesci.ucla.edu/qcb/wp-content/uploads/sites/14/2019/02/S19-05-W17-Machine-Learning.png
ORGANIZER;CN="QCB Collaboratory":MAILTO:collaboratory@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190411T133000
DTEND;TZID=America/Los_Angeles:20190411T153000
DTSTAMP:20260618T164307
CREATED:20190226T194840Z
LAST-MODIFIED:20190226T200406Z
UID:8894-1554989400-1554996600@qcb.ucla.edu
SUMMARY:Introduction to MATLAB - Day Three
DESCRIPTION:MATLAB is a powerful\, high-level programing language for numerical computation\, visualization\, and application development. First\, this workshop introduces the MATLAB environment. Next\, this workshop covers working with arrays and matrices\, loops and conditional statements\, writing your own functions\, working with files\, and visualizing your data. We will use MATLAB to solve differential equations and conduct basic computational systems modeling. This workshop is suitable for those with or without coding experience in other languages. No computational knowledge is assumed and no prerequisite workshops are required; however\, the Unix workshop (workshop 1) may be a useful foundation.
URL:https://qcb.ucla.edu/event/introduction-to-matlab-day-three-2/
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://wp-misc.lifesci.ucla.edu/qcb/wp-content/uploads/sites/14/2019/02/S19-04-W12-MATLAB.png
ORGANIZER;CN="QCB Collaboratory":MAILTO:collaboratory@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190411T093000
DTEND;TZID=America/Los_Angeles:20190411T120000
DTSTAMP:20260618T164307
CREATED:20190226T194839Z
LAST-MODIFIED:20190226T200300Z
UID:8891-1554975000-1554984000@qcb.ucla.edu
SUMMARY:Introduction to R - Day Three
DESCRIPTION:R (www.r-project.org) is a free software environment for statistical computing and graphics. First\, this workshop introduces basic concepts\, syntax\, and usage in R programming\, statistical analysis\, and visualization techniques. We will conduct hands-on tutorials throughout the session\, giving attendees a chance to see R in action. This workshop is geared toward those with little or no prior experience with R. Next\, this workshop covers an introduction to Bioconductor (www.bioconductor.org)\, which provides tools for the analysis of high throughput genomic data. If you are interested in any particular R/Bioconductor topic\, please contact the instructor in advance; effort will be made to cover topics of general interest.
URL:https://qcb.ucla.edu/event/introduction-to-r-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://wp-misc.lifesci.ucla.edu/qcb/wp-content/uploads/sites/14/2019/02/S19-03-W3-R.png
ORGANIZER;CN="QCB Collaboratory":MAILTO:collaboratory@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190410T133000
DTEND;TZID=America/Los_Angeles:20190410T153000
DTSTAMP:20260618T164307
CREATED:20190226T194840Z
LAST-MODIFIED:20190226T200214Z
UID:8893-1554903000-1554910200@qcb.ucla.edu
SUMMARY:Introduction to MATLAB - Day Two
DESCRIPTION:MATLAB is a powerful\, high-level programing language for numerical computation\, visualization\, and application development. First\, this workshop introduces the MATLAB environment. Next\, this workshop covers working with arrays and matrices\, loops and conditional statements\, writing your own functions\, working with files\, and visualizing your data. We will use MATLAB to solve differential equations and conduct basic computational systems modeling. This workshop is suitable for those with or without coding experience in other languages. No computational knowledge is assumed and no prerequisite workshops are required; however\, the Unix workshop (workshop 1) may be a useful foundation.
URL:https://qcb.ucla.edu/event/introduction-to-matlab-day-two-2/
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://wp-misc.lifesci.ucla.edu/qcb/wp-content/uploads/sites/14/2019/02/S19-04-W12-MATLAB.png
ORGANIZER;CN="QCB Collaboratory":MAILTO:collaboratory@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190410T093000
DTEND;TZID=America/Los_Angeles:20190410T120000
DTSTAMP:20260618T164307
CREATED:20190226T194839Z
LAST-MODIFIED:20190226T200112Z
UID:8890-1554888600-1554897600@qcb.ucla.edu
SUMMARY:Introduction to R - Day Two
DESCRIPTION:R (www.r-project.org) is a free software environment for statistical computing and graphics. First\, this workshop introduces basic concepts\, syntax\, and usage in R programming\, statistical analysis\, and visualization techniques. We will conduct hands-on tutorials throughout the session\, giving attendees a chance to see R in action. This workshop is geared toward those with little or no prior experience with R. Next\, this workshop covers an introduction to Bioconductor (www.bioconductor.org)\, which provides tools for the analysis of high throughput genomic data. If you are interested in any particular R/Bioconductor topic\, please contact the instructor in advance; effort will be made to cover topics of general interest.
URL:https://qcb.ucla.edu/event/introduction-to-r-day-two-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://wp-misc.lifesci.ucla.edu/qcb/wp-content/uploads/sites/14/2019/02/S19-03-W3-R.png
ORGANIZER;CN="QCB Collaboratory":MAILTO:collaboratory@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190409T133000
DTEND;TZID=America/Los_Angeles:20190409T153000
DTSTAMP:20260618T164307
CREATED:20190226T194839Z
LAST-MODIFIED:20190226T200034Z
UID:8892-1554816600-1554823800@qcb.ucla.edu
SUMMARY:Introduction to MATLAB - Day One
DESCRIPTION:MATLAB is a powerful\, high-level programing language for numerical computation\, visualization\, and application development. First\, this workshop introduces the MATLAB environment. Next\, this workshop covers working with arrays and matrices\, loops and conditional statements\, writing your own functions\, working with files\, and visualizing your data. We will use MATLAB to solve differential equations and conduct basic computational systems modeling. This workshop is suitable for those with or without coding experience in other languages. No computational knowledge is assumed and no prerequisite workshops are required; however\, the Unix workshop (workshop 1) may be a useful foundation.
URL:https://qcb.ucla.edu/event/introduction-to-matlab-day-one-2/
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://wp-misc.lifesci.ucla.edu/qcb/wp-content/uploads/sites/14/2019/02/S19-04-W12-MATLAB.png
ORGANIZER;CN="QCB Collaboratory":MAILTO:collaboratory@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190409T093000
DTEND;TZID=America/Los_Angeles:20190409T120000
DTSTAMP:20260618T164307
CREATED:20190226T194839Z
LAST-MODIFIED:20190226T200004Z
UID:8889-1554802200-1554811200@qcb.ucla.edu
SUMMARY:Introduction to R - Day One
DESCRIPTION:R (www.r-project.org) is a free software environment for statistical computing and graphics. First\, this workshop introduces basic concepts\, syntax\, and usage in R programming\, statistical analysis\, and visualization techniques. We will conduct hands-on tutorials throughout the session\, giving attendees a chance to see R in action. This workshop is geared toward those with little or no prior experience with R. Next\, this workshop covers an introduction to Bioconductor (www.bioconductor.org)\, which provides tools for the analysis of high throughput genomic data. If you are interested in any particular R/Bioconductor topic\, please contact the instructor in advance; effort will be made to cover topics of general interest.
URL:https://qcb.ucla.edu/event/introduction-to-r-day-one-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://wp-misc.lifesci.ucla.edu/qcb/wp-content/uploads/sites/14/2019/02/S19-03-W3-R.png
ORGANIZER;CN="QCB Collaboratory":MAILTO:collaboratory@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190404T133000
DTEND;TZID=America/Los_Angeles:20190404T163000
DTSTAMP:20260618T164307
CREATED:20190226T194838Z
LAST-MODIFIED:20190226T195926Z
UID:8888-1554384600-1554395400@qcb.ucla.edu
SUMMARY:Introduction to Python - Day Three
DESCRIPTION:This workshop covers the basic concepts of Python programming. The course is supplemented with many hands-on exercises with emphasis given towards computational biology use cases.
URL:https://qcb.ucla.edu/event/introduction-to-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://wp-misc.lifesci.ucla.edu/qcb/wp-content/uploads/sites/14/2019/02/S19-02-W9-Python.png
ORGANIZER;CN="QCB Collaboratory":MAILTO:collaboratory@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190403T133000
DTEND;TZID=America/Los_Angeles:20190403T163000
DTSTAMP:20260618T164307
CREATED:20190226T194826Z
LAST-MODIFIED:20190226T195833Z
UID:8887-1554298200-1554309000@qcb.ucla.edu
SUMMARY:Introduction to Python - Day Two
DESCRIPTION:This workshop covers the basic concepts of Python programming. The course is supplemented with many hands-on exercises with emphasis given towards computational biology use cases.
URL:https://qcb.ucla.edu/event/introduction-to-python-day-two-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://wp-misc.lifesci.ucla.edu/qcb/wp-content/uploads/sites/14/2019/02/S19-02-W9-Python.png
ORGANIZER;CN="QCB Collaboratory":MAILTO:collaboratory@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190403T093000
DTEND;TZID=America/Los_Angeles:20190403T123000
DTSTAMP:20260618T164307
CREATED:20190226T194825Z
LAST-MODIFIED:20190226T195807Z
UID:8885-1554283800-1554294600@qcb.ucla.edu
SUMMARY:Introduction to Unix - Day Three
DESCRIPTION:Unix is a command-line-based platform that is a highly powerful and flexible tool for data management and analysis. First\, this workshop introduces the basic concepts of UNIX operating system and shell scripting. We will explore essential hands-on skills to confidently use the command line interface on either a local (laptop) or a remote (hoffman2 cluster) computer running the Unix system. Next\, this workshop covers how to navigate around the Unix file system from the command line and use a number of basic\, common Unix commands. The course is supplemented with many hands-on examples. No prior knowledge of Unix or programming is required.
URL:https://qcb.ucla.edu/event/introduction-to-unix-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://wp-misc.lifesci.ucla.edu/qcb/wp-content/uploads/sites/14/2019/02/S19-01-W1-Unix.png
ORGANIZER;CN="QCB Collaboratory":MAILTO:collaboratory@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190402T133000
DTEND;TZID=America/Los_Angeles:20190402T163000
DTSTAMP:20260618T164307
CREATED:20190226T194825Z
LAST-MODIFIED:20190226T195739Z
UID:8886-1554211800-1554222600@qcb.ucla.edu
SUMMARY:Introduction to Python - Day One
DESCRIPTION:This workshop covers the basic concepts of Python programming. The course is supplemented with many hands-on exercises with emphasis given towards computational biology use cases.
URL:https://qcb.ucla.edu/event/introduction-to-python-day-one-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://wp-misc.lifesci.ucla.edu/qcb/wp-content/uploads/sites/14/2019/02/S19-02-W9-Python.png
ORGANIZER;CN="QCB Collaboratory":MAILTO:collaboratory@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190402T093000
DTEND;TZID=America/Los_Angeles:20190402T123000
DTSTAMP:20260618T164307
CREATED:20190226T194825Z
LAST-MODIFIED:20190226T195629Z
UID:8884-1554197400-1554208200@qcb.ucla.edu
SUMMARY:Introduction to Unix - Day Two
DESCRIPTION:Unix is a command-line-based platform that is a highly powerful and flexible tool for data management and analysis. First\, this workshop introduces the basic concepts of UNIX operating system and shell scripting. We will explore essential hands-on skills to confidently use the command line interface on either a local (laptop) or a remote (hoffman2 cluster) computer running the Unix system. Next\, this workshop covers how to navigate around the Unix file system from the command line and use a number of basic\, common Unix commands. The course is supplemented with many hands-on examples. No prior knowledge of Unix or programming is required.
URL:https://qcb.ucla.edu/event/introduction-to-unix-day-two-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://wp-misc.lifesci.ucla.edu/qcb/wp-content/uploads/sites/14/2019/02/S19-01-W1-Unix.png
ORGANIZER;CN="QCB Collaboratory":MAILTO:collaboratory@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190401T093000
DTEND;TZID=America/Los_Angeles:20190401T123000
DTSTAMP:20260618T164307
CREATED:20190226T194825Z
LAST-MODIFIED:20190226T195527Z
UID:8883-1554111000-1554121800@qcb.ucla.edu
SUMMARY:Introduction to Unix - Day One
DESCRIPTION:Unix is a command-line-based platform that is a highly powerful and flexible tool for data management and analysis. First\, this workshop introduces the basic concepts of UNIX operating system and shell scripting. We will explore essential hands-on skills to confidently use the command line interface on either a local (laptop) or a remote (hoffman2 cluster) computer running the Unix system. Next\, this workshop covers how to navigate around the Unix file system from the command line and use a number of basic\, common Unix commands. The course is supplemented with many hands-on examples. No prior knowledge of Unix or programming is required.
URL:https://qcb.ucla.edu/event/introduction-to-unix-day-one-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://wp-misc.lifesci.ucla.edu/qcb/wp-content/uploads/sites/14/2019/02/S19-01-W1-Unix.png
ORGANIZER;CN="QCB Collaboratory":MAILTO:collaboratory@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190315T130000
DTEND;TZID=America/Los_Angeles:20190315T140000
DTSTAMP:20260618T164307
CREATED:20190110T003640Z
LAST-MODIFIED:20190311T163714Z
UID:8486-1552654800-1552658400@qcb.ucla.edu
SUMMARY:QCB Seminar: Dr. Massimo Vergassola\, UCSD
DESCRIPTION:Learning to Soar \nMASSIMO VERGASSOLA \nProfessor\nDepartment of Physics\nUniversity of California\, San Diego \n  \nMarch 15\, 2019 \n1:00PM to 2:00PM \nBOYER HALL 159 \n  \n \n  \n— \n  \nFRONTIERS IN QUANTITATIVE AND SYSTEMS BIOLOGY SEMINAR SERIES \n  \nJANUARY 11 – MARCH 15\, 2019 \n  \nSeminars are held Fridays 1-2pm in Boyer Hall. \nAll seminars are free and open to the public. \n  \nA speaker series sponsored by the Department of Biomathematics and the Institute for Quantitative and Computational Biosciences (QCBio).
URL:https://qcb.ucla.edu/event/qcb-seminar-dr-massimo-vergassola-ucsd/
LOCATION:Boyer Hall 159
ATTACH;FMTTYPE=image/png:https://wp-misc.lifesci.ucla.edu/qcb/wp-content/uploads/sites/14/2019/01/2019-03-15-MASSIMO-VERGASSOLA.png
ORGANIZER;CN="Lana Martin":MAILTO:lana.martin@lifesci.ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190313T133000
DTEND;TZID=America/Los_Angeles:20190313T153000
DTSTAMP:20260618T164307
CREATED:20181108T195418Z
LAST-MODIFIED:20181115T001943Z
UID:8092-1552483800-1552491000@qcb.ucla.edu
SUMMARY:Galaxy for NGS Data Analysis - Day Two
DESCRIPTION:Galaxy is a web-based infrastructure for bioinformatics application. First\, this workshop introduces participants to using Galaxy for analysis of Next-Generation Sequencing data. Next\, this workshop covers the structure of Galaxy\, data format and manipulation\, obtaining and sharing data\, and building and sharing workflows. We will use the tools installed on the UCLA galaxy to perform a few types of NGS analysis.
URL:https://qcb.ucla.edu/event/galaxy-for-ngs-data-analysis-day-two-2/
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://wp-misc.lifesci.ucla.edu/qcb/wp-content/uploads/sites/14/2018/11/W19-16-Galaxy-for-NGS.png
ORGANIZER;CN="QCB Collaboratory":MAILTO:collaboratory@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190312T133000
DTEND;TZID=America/Los_Angeles:20190312T153000
DTSTAMP:20260618T164307
CREATED:20181108T195417Z
LAST-MODIFIED:20181115T002042Z
UID:8091-1552397400-1552404600@qcb.ucla.edu
SUMMARY:Galaxy for NGS Data Analysis - Day One
DESCRIPTION:Galaxy is a web-based infrastructure for bioinformatics application. First\, this workshop introduces participants to using Galaxy for analysis of Next-Generation Sequencing data. Next\, this workshop covers the structure of Galaxy\, data format and manipulation\, obtaining and sharing data\, and building and sharing workflows. We will use the tools installed on the UCLA galaxy to perform a few types of NGS analysis.
URL:https://qcb.ucla.edu/event/galaxy-for-ngs-data-analysis-day-one-2/
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://wp-misc.lifesci.ucla.edu/qcb/wp-content/uploads/sites/14/2018/11/W19-16-Galaxy-for-NGS.png
ORGANIZER;CN="QCB Collaboratory":MAILTO:collaboratory@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190308T130000
DTEND;TZID=America/Los_Angeles:20190308T140000
DTSTAMP:20260618T164307
CREATED:20190110T003442Z
LAST-MODIFIED:20190305T003629Z
UID:8482-1552050000-1552053600@qcb.ucla.edu
SUMMARY:QCB Seminar: Dr. Nicolas Buchler\, North Carolina State University
DESCRIPTION:Gene Expression Noise Accelerates the Evolution of a Biological Oscillator \nNICOLAS BUCHLER\nAssociate Professor\nVeterinary Medicine\nNorth Carolina State University \n  \nMarch 8\, 2019 \n1:00PM to 2:00PM \nBOYER HALL 159 \n  \n \n  \n— \n  \nFRONTIERS IN QUANTITATIVE AND SYSTEMS BIOLOGY SEMINAR SERIES \n  \nJANUARY 11 – MARCH 15\, 2019 \n  \nSeminars are held Fridays 1-2pm in Boyer Hall. \nAll seminars are free and open to the public. \n  \nA speaker series sponsored by the Department of Biomathematics and the Institute for Quantitative and Computational Biosciences (QCBio).
URL:https://qcb.ucla.edu/event/qcb-seminar-dr-nicolas-buchler-north-carolina-state-university/
LOCATION:Boyer Hall 159
ATTACH;FMTTYPE=image/png:https://wp-misc.lifesci.ucla.edu/qcb/wp-content/uploads/sites/14/2019/01/2019-03-08-NICOLAS-BUCHLER.png
ORGANIZER;CN="Lana Martin":MAILTO:lana.martin@lifesci.ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190307T090000
DTEND;TZID=America/Los_Angeles:20190307T120000
DTSTAMP:20260618T164307
CREATED:20181108T195415Z
LAST-MODIFIED:20181115T002108Z
UID:8090-1551949200-1551960000@qcb.ucla.edu
SUMMARY:Digital Imaging Processing in Python - Day Three
DESCRIPTION:Imaging datasets are becoming easier to acquire yet more difficult to analyze. First\, this workshop introduces computational tools available for manipulating images and extracting quantitative information. Next\, this workshop covers image conversion and handling in Python\, different methods for normalizing\, aligning and segmenting images\, and applying these techniques to a full image processing pipeline. We will focus on cellular imaging; however\, much of the techniques are broadly applicable to other data types.
URL:https://qcb.ucla.edu/event/digital-imaging-processing-in-python-day-three-2/
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://wp-misc.lifesci.ucla.edu/qcb/wp-content/uploads/sites/14/2018/11/W19-15-Digital-Imaging.png
ORGANIZER;CN="QCB Collaboratory":MAILTO:collaboratory@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190306T090000
DTEND;TZID=America/Los_Angeles:20190306T120000
DTSTAMP:20260618T164307
CREATED:20181108T195414Z
LAST-MODIFIED:20181115T002121Z
UID:8089-1551862800-1551873600@qcb.ucla.edu
SUMMARY:Digital Imaging Processing in Python - Day Two
DESCRIPTION:Imaging datasets are becoming easier to acquire yet more difficult to analyze. First\, this workshop introduces computational tools available for manipulating images and extracting quantitative information. Next\, this workshop covers image conversion and handling in Python\, different methods for normalizing\, aligning and segmenting images\, and applying these techniques to a full image processing pipeline. We will focus on cellular imaging; however\, much of the techniques are broadly applicable to other data types.
URL:https://qcb.ucla.edu/event/digital-imaging-processing-in-python-day-two-2/
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://wp-misc.lifesci.ucla.edu/qcb/wp-content/uploads/sites/14/2018/11/W19-15-Digital-Imaging.png
ORGANIZER;CN="QCB Collaboratory":MAILTO:collaboratory@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190305T090000
DTEND;TZID=America/Los_Angeles:20190305T120000
DTSTAMP:20260618T164307
CREATED:20181108T195413Z
LAST-MODIFIED:20181115T002139Z
UID:8088-1551776400-1551787200@qcb.ucla.edu
SUMMARY:Digital Imaging Processing in Python - Day One
DESCRIPTION:Imaging datasets are becoming easier to acquire yet more difficult to analyze. First\, this workshop introduces computational tools available for manipulating images and extracting quantitative information. Next\, this workshop covers image conversion and handling in Python\, different methods for normalizing\, aligning and segmenting images\, and applying these techniques to a full image processing pipeline. We will focus on cellular imaging; however\, much of the techniques are broadly applicable to other data types.
URL:https://qcb.ucla.edu/event/digital-imaging-processing-in-python-day-one-2/
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://wp-misc.lifesci.ucla.edu/qcb/wp-content/uploads/sites/14/2018/11/W19-15-Digital-Imaging.png
ORGANIZER;CN="QCB Collaboratory":MAILTO:collaboratory@ucla.edu
END:VEVENT
END:VCALENDAR