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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:20190220T133000
DTEND;TZID=America/Los_Angeles:20190220T153000
DTSTAMP:20260618T081038
CREATED:20181108T195408Z
LAST-MODIFIED:20181115T002335Z
UID:8083-1550669400-1550676600@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/
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/W19-13-Intro-to-Matlab.png
ORGANIZER;CN="QCB Collaboratory":MAILTO:collaboratory@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190219T133000
DTEND;TZID=America/Los_Angeles:20190219T153000
DTSTAMP:20260618T081038
CREATED:20181108T195406Z
LAST-MODIFIED:20181115T002351Z
UID:8082-1550583000-1550590200@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/
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/W19-13-Intro-to-Matlab.png
ORGANIZER;CN="QCB Collaboratory":MAILTO:collaboratory@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190215T130000
DTEND;TZID=America/Los_Angeles:20190215T140000
DTSTAMP:20260618T081038
CREATED:20190110T002842Z
LAST-MODIFIED:20190110T002842Z
UID:8470-1550235600-1550239200@qcb.ucla.edu
SUMMARY:QCB Seminar: Dr. Victoria Booth\, University of Michigan
DESCRIPTION:Mapping Circadian Modulation of Sleep-wake Dynamics \nVICTORIA BOOTH\nAssociate Professor\nDepartment of Mathematics\nUniversity of Michigan \n  \nFebruary 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-victoria-booth-university-of-michigan/
LOCATION:Boyer Hall 159
ATTACH;FMTTYPE=image/png:https://wp-misc.lifesci.ucla.edu/qcb/wp-content/uploads/sites/14/2019/01/2019-02-15-VICTORIA-BOOTH.png
ORGANIZER;CN="Lana Martin":MAILTO:lana.martin@lifesci.ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190214T133000
DTEND;TZID=America/Los_Angeles:20190214T153000
DTSTAMP:20260618T081038
CREATED:20181108T195405Z
LAST-MODIFIED:20181115T002413Z
UID:8081-1550151000-1550158200@qcb.ucla.edu
SUMMARY:Metagenomics Analysis - Day Three
DESCRIPTION:This workshop provides an introduction to the microbiome analyses from the raw sequence data generated from the next-generation sequencing platforms. We will cover how to perform the 16S rRNA-based analysis using an open-source bioinformatics pipeline QIIME. We will also cover some downstream analyses of the microbiome data beyond QIIME\, including statistical analyses and functional analyses.
URL:https://qcb.ucla.edu/event/metagenomics-analysis-day-three/
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/W19-12-Metagenomics.png
ORGANIZER;CN="QCB Collaboratory":MAILTO:collaboratory@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190214T090000
DTEND;TZID=America/Los_Angeles:20190214T120000
DTSTAMP:20260618T081038
CREATED:20181108T195403Z
LAST-MODIFIED:20181115T002517Z
UID:8078-1550134800-1550145600@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-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/W19-11-Machine-Learning.png
ORGANIZER;CN="QCB Collaboratory":MAILTO:collaboratory@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190213T133000
DTEND;TZID=America/Los_Angeles:20190213T153000
DTSTAMP:20260618T081038
CREATED:20181108T195404Z
LAST-MODIFIED:20181115T002432Z
UID:8080-1550064600-1550071800@qcb.ucla.edu
SUMMARY:Metagenomics Analysis - Day Two
DESCRIPTION:This workshop provides an introduction to the microbiome analyses from the raw sequence data generated from the next-generation sequencing platforms. We will cover how to perform the 16S rRNA-based analysis using an open-source bioinformatics pipeline QIIME. We will also cover some downstream analyses of the microbiome data beyond QIIME\, including statistical analyses and functional analyses.
URL:https://qcb.ucla.edu/event/metagenomics-analysis-day-two/
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/W19-12-Metagenomics.png
ORGANIZER;CN="QCB Collaboratory":MAILTO:collaboratory@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190213T090000
DTEND;TZID=America/Los_Angeles:20190213T120000
DTSTAMP:20260618T081038
CREATED:20181108T195402Z
LAST-MODIFIED:20181115T002531Z
UID:8077-1550048400-1550059200@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-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/W19-11-Machine-Learning.png
ORGANIZER;CN="QCB Collaboratory":MAILTO:collaboratory@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190212T133000
DTEND;TZID=America/Los_Angeles:20190212T153000
DTSTAMP:20260618T081038
CREATED:20181108T195403Z
LAST-MODIFIED:20181115T002447Z
UID:8079-1549978200-1549985400@qcb.ucla.edu
SUMMARY:Metagenomics Analysis - Day One
DESCRIPTION:This workshop provides an introduction to the microbiome analyses from the raw sequence data generated from the next-generation sequencing platforms. We will cover how to perform the 16S rRNA-based analysis using an open-source bioinformatics pipeline QIIME. We will also cover some downstream analyses of the microbiome data beyond QIIME\, including statistical analyses and functional analyses.
URL:https://qcb.ucla.edu/event/metagenomics-analysis-day-one/
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/W19-12-Metagenomics.png
ORGANIZER;CN="QCB Collaboratory":MAILTO:collaboratory@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190212T090000
DTEND;TZID=America/Los_Angeles:20190212T120000
DTSTAMP:20260618T081038
CREATED:20181108T195401Z
LAST-MODIFIED:20181115T002549Z
UID:8076-1549962000-1549972800@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-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/W19-11-Machine-Learning.png
ORGANIZER;CN="QCB Collaboratory":MAILTO:collaboratory@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190208T130000
DTEND;TZID=America/Los_Angeles:20190208T140000
DTSTAMP:20260618T081038
CREATED:20190110T001832Z
LAST-MODIFIED:20190205T175826Z
UID:8466-1549630800-1549634400@qcb.ucla.edu
SUMMARY:QCB Seminar: Dr. Julie Theriot\, University of Washington
DESCRIPTION:Harnessing the Power of Machine Learning for Quantitative Microscopy in Cell Biology \nJULIE THERIOT\nProfessor\nDepartment of Biology\nUniversity of Washington \nFebruary 8\, 2019 \n1:00PM to 2:00PM \nBOYER HALL 130 \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-julie-theriot-university-of-washington/
LOCATION:Boyer Hall 130
ATTACH;FMTTYPE=image/png:https://wp-misc.lifesci.ucla.edu/qcb/wp-content/uploads/sites/14/2019/01/2019-02-08-JULIE-THERIOT.png
ORGANIZER;CN="Lana Martin":MAILTO:lana.martin@lifesci.ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190207T093000
DTEND;TZID=America/Los_Angeles:20190207T113000
DTSTAMP:20260618T081038
CREATED:20181108T195400Z
LAST-MODIFIED:20181115T002609Z
UID:8075-1549531800-1549539000@qcb.ucla.edu
SUMMARY:RNA-Seq Analysis II - Day Two
DESCRIPTION:RNA sequencing uses next-generation sequencing to reveal the presence and quantity of RNA in a biological sample at a given moment. First\, this workshop introduces key tools developed for analysis of gene expression data from read counts to biology using R. To facilitate learning\, we will use a real case-study-based approach appropriate for Illumina read data (same as RNA-seq I).
URL:https://qcb.ucla.edu/event/rna-seq-analysis-ii-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/W19-10-RNA-seq-II.png
ORGANIZER;CN="QCB Collaboratory":MAILTO:collaboratory@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190206T130000
DTEND;TZID=America/Los_Angeles:20190206T160000
DTSTAMP:20260618T081038
CREATED:20181108T195358Z
LAST-MODIFIED:20181115T002651Z
UID:8073-1549458000-1549468800@qcb.ucla.edu
SUMMARY:Introduction to Phylogenetics - Day Three
DESCRIPTION:This workshop presents the scientific basis behind the different approaches in phylogenetics and the tools used for these analyses. Practical aspects of the use of these tools will be discussed.
URL:https://qcb.ucla.edu/event/introduction-to-phylogenetics-day-three/
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/W19-09-Intro-to-Phylogenetics.png
ORGANIZER;CN="QCB Collaboratory":MAILTO:collaboratory@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190205T130000
DTEND;TZID=America/Los_Angeles:20190205T160000
DTSTAMP:20260618T081038
CREATED:20181108T195356Z
LAST-MODIFIED:20181115T002705Z
UID:8072-1549371600-1549382400@qcb.ucla.edu
SUMMARY:Introduction to Phylogenetics - Day Two
DESCRIPTION:This workshop presents the scientific basis behind the different approaches in phylogenetics and the tools used for these analyses. Practical aspects of the use of these tools will be discussed.
URL:https://qcb.ucla.edu/event/introduction-to-phylogenetics-day-two/
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/W19-09-Intro-to-Phylogenetics.png
ORGANIZER;CN="QCB Collaboratory":MAILTO:collaboratory@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190205T093000
DTEND;TZID=America/Los_Angeles:20190205T113000
DTSTAMP:20260618T081038
CREATED:20181108T195359Z
LAST-MODIFIED:20181115T002628Z
UID:8074-1549359000-1549366200@qcb.ucla.edu
SUMMARY:RNA-Seq Analysis II - Day One
DESCRIPTION:RNA sequencing uses next-generation sequencing to reveal the presence and quantity of RNA in a biological sample at a given moment. First\, this workshop introduces key tools developed for analysis of gene expression data from read counts to biology using R. To facilitate learning\, we will use a real case-study-based approach appropriate for Illumina read data (same as RNA-seq I).
URL:https://qcb.ucla.edu/event/rna-seq-analysis-ii-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/W19-10-RNA-seq-II.png
ORGANIZER;CN="QCB Collaboratory":MAILTO:collaboratory@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190204T130000
DTEND;TZID=America/Los_Angeles:20190204T160000
DTSTAMP:20260618T081038
CREATED:20181108T195355Z
LAST-MODIFIED:20181115T002720Z
UID:8071-1549285200-1549296000@qcb.ucla.edu
SUMMARY:Introduction to Phylogenetics - Day One
DESCRIPTION:This workshop presents the scientific basis behind the different approaches in phylogenetics and the tools used for these analyses. Practical aspects of the use of these tools will be discussed.
URL:https://qcb.ucla.edu/event/introduction-to-phylogenetics-day-one/
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/W19-09-Intro-to-Phylogenetics.png
ORGANIZER;CN="QCB Collaboratory":MAILTO:collaboratory@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190201T130000
DTEND;TZID=America/Los_Angeles:20190201T140000
DTSTAMP:20260618T081038
CREATED:20190110T001628Z
LAST-MODIFIED:20190110T001628Z
UID:8462-1549026000-1549029600@qcb.ucla.edu
SUMMARY:QCB Seminar: Dr. Adam MacLean\, USC
DESCRIPTION:Inference of Cell-cell Communication Networks and Transition States from Single-cell Transcriptomics \nADAM MACLEAN\nAssistant Professor of Biological Sciences\nUniversity of Southern California \n  \nFebruary 1\, 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-adam-maclean-usc/
LOCATION:Boyer Hall 159
ATTACH;FMTTYPE=image/png:https://wp-misc.lifesci.ucla.edu/qcb/wp-content/uploads/sites/14/2019/01/2019-02-01-ADAM-MACLEAN.png
ORGANIZER;CN="Lana Martin":MAILTO:lana.martin@lifesci.ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20190201
DTEND;VALUE=DATE:20190202
DTSTAMP:20260618T081038
CREATED:20181227T015504Z
LAST-MODIFIED:20181227T015504Z
UID:8423-1548979200-1549065599@qcb.ucla.edu
SUMMARY:UCLA Computational Medicine Symposium
DESCRIPTION:One February 1st\, UCLA Computational Medicine is hosting a symposium to kick off a collaboration with Amazon Web Services.  The focus of the symposium is to highlight exciting research at UCLA and beyond.  The symposium will be a full day event held in the Mong Auditorium in Engineering VI.\n\nThe Symposium will feature the following speakers:\nJonathan Flint\, UCLA\nEran Halperin\, UCLA\nLeonid Kruglyak\, UCLA\nJennifer Listgarten\, UC Berkeley\nKelsey Martin\, UCLA\nBen Raphael\, Princeton\nSriram Sankararaman\, UCLA\n\nRegistration is free but required as the symposium will likely be at capacity.  We also need an accurate headcount for the catering.  Please register using the following link:\nhttps://goo.gl/forms/puVBWaymUJVplxw83\n\nIf you register and your plans change and you will not be able to attend\, please let us know so we can accommodate participants on the waitlist.
URL:https://qcb.ucla.edu/event/ucla-computational-medicine-symposium/
LOCATION:Mong Auditorium\, Engineering V\, 404 Westwood Blvd\, Los Angeles\, CA\, 90095\, United States
CATEGORIES:Symposium
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190131T130000
DTEND;TZID=America/Los_Angeles:20190131T150000
DTSTAMP:20260618T081038
CREATED:20181108T195354Z
LAST-MODIFIED:20181115T002757Z
UID:8070-1548939600-1548946800@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-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/W19-08-Intro-to-Python.png
ORGANIZER;CN="QCB Collaboratory":MAILTO:collaboratory@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190131T090000
DTEND;TZID=America/Los_Angeles:20190131T120000
DTSTAMP:20260618T081038
CREATED:20181108T195352Z
LAST-MODIFIED:20181115T002850Z
UID:8067-1548925200-1548936000@qcb.ucla.edu
SUMMARY:RNA-Seq Analysis I - Day Three
DESCRIPTION:RNA sequencing is used to examine the continuously changing cellular transcriptome. First\, this workshop provides an introduction and the basics tools to process raw RNA-seq data on a cluster machine (Hoffman2). This workshop can serve as a starting point to develop a gene expression project. To facilitate learning\, we will explore a hands-on tutorial that guides students in processing the data from raw reads through read counts. We will use a real-case study-based approach appropriate for Illumina read data.
URL:https://qcb.ucla.edu/event/rna-seq-analysis-i-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/W19-07-RNA-seq-I.png
ORGANIZER;CN="QCB Collaboratory":MAILTO:collaboratory@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190130T130000
DTEND;TZID=America/Los_Angeles:20190130T150000
DTSTAMP:20260618T081038
CREATED:20181108T195353Z
LAST-MODIFIED:20181115T002818Z
UID:8069-1548853200-1548860400@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-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/W19-08-Intro-to-Python.png
ORGANIZER;CN="QCB Collaboratory":MAILTO:collaboratory@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190130T090000
DTEND;TZID=America/Los_Angeles:20190130T120000
DTSTAMP:20260618T081038
CREATED:20181108T195350Z
LAST-MODIFIED:20181115T002900Z
UID:8066-1548838800-1548849600@qcb.ucla.edu
SUMMARY:RNA-Seq Analysis I - Day Two
DESCRIPTION:RNA sequencing is used to examine the continuously changing cellular transcriptome. First\, this workshop provides an introduction and the basics tools to process raw RNA-seq data on a cluster machine (Hoffman2). This workshop can serve as a starting point to develop a gene expression project. To facilitate learning\, we will explore a hands-on tutorial that guides students in processing the data from raw reads through read counts. We will use a real-case study-based approach appropriate for Illumina read data.
URL:https://qcb.ucla.edu/event/rna-seq-analysis-i-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/W19-07-RNA-seq-I.png
ORGANIZER;CN="QCB Collaboratory":MAILTO:collaboratory@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190129T130000
DTEND;TZID=America/Los_Angeles:20190129T150000
DTSTAMP:20260618T081038
CREATED:20181108T195353Z
LAST-MODIFIED:20181115T002829Z
UID:8068-1548766800-1548774000@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-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/W19-08-Intro-to-Python.png
ORGANIZER;CN="QCB Collaboratory":MAILTO:collaboratory@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190129T090000
DTEND;TZID=America/Los_Angeles:20190129T120000
DTSTAMP:20260618T081038
CREATED:20181108T195350Z
LAST-MODIFIED:20181115T002910Z
UID:8065-1548752400-1548763200@qcb.ucla.edu
SUMMARY:RNA-Seq Analysis I - Day One
DESCRIPTION:RNA sequencing is used to examine the continuously changing cellular transcriptome. First\, this workshop provides an introduction and the basics tools to process raw RNA-seq data on a cluster machine (Hoffman2). This workshop can serve as a starting point to develop a gene expression project. To facilitate learning\, we will explore a hands-on tutorial that guides students in processing the data from raw reads through read counts. We will use a real-case study-based approach appropriate for Illumina read data.
URL:https://qcb.ucla.edu/event/rna-seq-analysis-i-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/W19-07-RNA-seq-I.png
ORGANIZER;CN="QCB Collaboratory":MAILTO:collaboratory@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190125T130000
DTEND;TZID=America/Los_Angeles:20190125T130000
DTSTAMP:20260618T081038
CREATED:20190110T001323Z
LAST-MODIFIED:20190110T001323Z
UID:8458-1548421200-1548421200@qcb.ucla.edu
SUMMARY:QCB Seminar: Dr. James Ferrell\, Stanford
DESCRIPTION:Trigger Waves in Cell Signaling \nJAMES FERRELL\nProfessor\nChemical and Systems Biology/Chemistry\nStanford University \n  \nJanuary 25\, 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-james-ferrell-stanford/
LOCATION:Boyer Hall 159
ATTACH;FMTTYPE=image/png:https://wp-misc.lifesci.ucla.edu/qcb/wp-content/uploads/sites/14/2019/01/2019-01-25-JAMES-FERRELL.png
ORGANIZER;CN="Lana Martin":MAILTO:lana.martin@lifesci.ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190124T130000
DTEND;TZID=America/Los_Angeles:20190124T153000
DTSTAMP:20260618T081039
CREATED:20181108T195349Z
LAST-MODIFIED:20181115T002935Z
UID:8064-1548334800-1548343800@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-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/W19-06-Modern-Stats.png
ORGANIZER;CN="QCB Collaboratory":MAILTO:collaboratory@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190124T090000
DTEND;TZID=America/Los_Angeles:20190124T120000
DTSTAMP:20260618T081039
CREATED:20181108T195346Z
LAST-MODIFIED:20181115T003012Z
UID:8061-1548320400-1548331200@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-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/W19-05-Intro-to-R.png
ORGANIZER;CN="QCB Collaboratory":MAILTO:collaboratory@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190123T130000
DTEND;TZID=America/Los_Angeles:20190123T153000
DTSTAMP:20260618T081039
CREATED:20181108T195348Z
LAST-MODIFIED:20181115T002944Z
UID:8063-1548248400-1548257400@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-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/W19-06-Modern-Stats.png
ORGANIZER;CN="QCB Collaboratory":MAILTO:collaboratory@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190123T090000
DTEND;TZID=America/Los_Angeles:20190123T120000
DTSTAMP:20260618T081039
CREATED:20181108T195345Z
LAST-MODIFIED:20181115T003018Z
UID:8060-1548234000-1548244800@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-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/W19-05-Intro-to-R.png
ORGANIZER;CN="QCB Collaboratory":MAILTO:collaboratory@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190122T130000
DTEND;TZID=America/Los_Angeles:20190122T153000
DTSTAMP:20260618T081039
CREATED:20181108T195347Z
LAST-MODIFIED:20181115T002952Z
UID:8062-1548162000-1548171000@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-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/W19-06-Modern-Stats.png
ORGANIZER;CN="QCB Collaboratory":MAILTO:collaboratory@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190122T090000
DTEND;TZID=America/Los_Angeles:20190122T120000
DTSTAMP:20260618T081039
CREATED:20181108T195344Z
LAST-MODIFIED:20181115T003023Z
UID:8059-1548147600-1548158400@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-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/W19-05-Intro-to-R.png
ORGANIZER;CN="QCB Collaboratory":MAILTO:collaboratory@ucla.edu
END:VEVENT
END:VCALENDAR