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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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DTSTART:20170312T100000
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20181107T130000
DTEND;TZID=America/Los_Angeles:20181107T150000
DTSTAMP:20260618T154930
CREATED:20180823T210800Z
LAST-MODIFIED:20180910T175014Z
UID:7318-1541595600-1541602800@qcb.ucla.edu
SUMMARY: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/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/14/2018/08/2018_11_06-MATLAB.png
ORGANIZER;CN="QCB Collaboratory":MAILTO:collaboratory@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20181107T093000
DTEND;TZID=America/Los_Angeles:20181107T123000
DTSTAMP:20260618T154930
CREATED:20180823T210757Z
LAST-MODIFIED:20180910T175014Z
UID:7315-1541583000-1541593800@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/
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/14/2018/08/2018_11_06-Digital-Imaging-Processing-in-Python.png
ORGANIZER;CN="QCB Collaboratory":MAILTO:collaboratory@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20181106T130000
DTEND;TZID=America/Los_Angeles:20181106T150000
DTSTAMP:20260618T154930
CREATED:20180823T210759Z
LAST-MODIFIED:20180910T175014Z
UID:7317-1541509200-1541516400@qcb.ucla.edu
SUMMARY: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/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/14/2018/08/2018_11_06-MATLAB.png
ORGANIZER;CN="QCB Collaboratory":MAILTO:collaboratory@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20181106T093000
DTEND;TZID=America/Los_Angeles:20181106T123000
DTSTAMP:20260618T154930
CREATED:20180823T210756Z
LAST-MODIFIED:20180910T175014Z
UID:7314-1541496600-1541507400@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/
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/14/2018/08/2018_11_06-Digital-Imaging-Processing-in-Python.png
ORGANIZER;CN="QCB Collaboratory":MAILTO:collaboratory@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20181105T160000
DTEND;TZID=America/Los_Angeles:20181105T170000
DTSTAMP:20260618T154930
CREATED:20181031T182635Z
LAST-MODIFIED:20181031T184635Z
UID:7977-1541433600-1541437200@qcb.ucla.edu
SUMMARY:Michael Gandal\, "Leveraging Human Brain Transcriptomics to Identify a Convergent Molecular Pathology of Psychiatric Disease"
DESCRIPTION:Michael Gandal\nLeveraging Human Brain Transcriptomics to Identify a Convergent Molecular Pathology of Psychiatric Disease\nMonday November 5\nBioinformatics Seminar Series\n4pm
URL:https://qcb.ucla.edu/event/michael-gandal-leveraging-human-brain-transcriptomics-to-identify-a-convergent-molecular-pathology-of-psychiatric-disease/
LOCATION:CA
CATEGORIES:Bioinformatics Weekly Seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20181101T120000
DTEND;TZID=America/Los_Angeles:20181101T130000
DTSTAMP:20260618T154930
CREATED:20181031T191008Z
LAST-MODIFIED:20181031T191008Z
UID:7993-1541073600-1541077200@qcb.ucla.edu
SUMMARY:K.Kirk Shung\, Ph.D.\, "Acoustic tweezer and its biomedical Applications"
DESCRIPTION:
URL:https://qcb.ucla.edu/event/k-kirk-shung-ph-d-acoustic-tweezer-and-its-biomedical-applications/
LOCATION:CA
CATEGORIES:Bioinformatics Weekly Seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20181101T093000
DTEND;TZID=America/Los_Angeles:20181101T123000
DTSTAMP:20260618T154930
CREATED:20180823T210754Z
LAST-MODIFIED:20180910T174910Z
UID:7311-1541064600-1541075400@qcb.ucla.edu
SUMMARY:Library Prep for Next Generation Sequencing - Day Three
DESCRIPTION:Library preparation is a critical part of successful next generation sequencing analysis. This workshop introduces the basis of Next-Gen Sequencing Library Preparation for Illumina Sequencers. We will explore different Library Preparation Techniques (DNA-seq\, ChIP-seq\, RNA-seq\, Methyl-seq). Next\, this workshop covers steps for performing Quality Control\, starting input material\, final libraries in the Lab (TapeStation)\, purification from Primer Dimers (using AMPure beads)\, and Library Submission.
URL:https://qcb.ucla.edu/event/library-prep-for-next-generation-sequencing-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/14/2018/08/2018_10_30-Library-Prep-for-NGS.png
ORGANIZER;CN="QCB Collaboratory":MAILTO:collaboratory@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20181031T130000
DTEND;TZID=America/Los_Angeles:20181031T150000
DTSTAMP:20260618T154930
CREATED:20180823T210756Z
LAST-MODIFIED:20180910T174910Z
UID:7313-1540990800-1540998000@qcb.ucla.edu
SUMMARY:Single-Cell RNA-Seq - Day Two
DESCRIPTION:RNA sequencing of single cells (scRNA-seq) provides a high-resolution view of cellular differences and function. First\, this workshop introduces the basic concepts and data analysis tools for single-cell RNA-seq techniques. Next\, this workshop covers the important applications of scRNA-seq\, the important considerations in designing a scRNA-seq experiment\, the major differences between popular technical platforms\, and the main steps in preliminary data analysis. This workshop can serve as a starting point to conceive a scRNA-seq study or to analyze a scRNA-seq dataset.
URL:https://qcb.ucla.edu/event/single-cell-rna-seq-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/14/2018/08/2018_10_30-scRNAseq.png
ORGANIZER;CN="QCB Collaboratory":MAILTO:collaboratory@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20181031T093000
DTEND;TZID=America/Los_Angeles:20181031T123000
DTSTAMP:20260618T154930
CREATED:20180823T210753Z
LAST-MODIFIED:20180910T174910Z
UID:7310-1540978200-1540989000@qcb.ucla.edu
SUMMARY:Library Prep for Next Generation Sequencing - Day Two
DESCRIPTION:Library preparation is a critical part of successful next generation sequencing analysis. This workshop introduces the basis of Next-Gen Sequencing Library Preparation for Illumina Sequencers. We will explore different Library Preparation Techniques (DNA-seq\, ChIP-seq\, RNA-seq\, Methyl-seq). Next\, this workshop covers steps for performing Quality Control\, starting input material\, final libraries in the Lab (TapeStation)\, purification from Primer Dimers (using AMPure beads)\, and Library Submission.
URL:https://qcb.ucla.edu/event/library-prep-for-next-generation-sequencing-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/14/2018/08/2018_10_30-Library-Prep-for-NGS.png
ORGANIZER;CN="QCB Collaboratory":MAILTO:collaboratory@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20181030T130000
DTEND;TZID=America/Los_Angeles:20181030T150000
DTSTAMP:20260618T154930
CREATED:20180823T210755Z
LAST-MODIFIED:20180910T174910Z
UID:7312-1540904400-1540911600@qcb.ucla.edu
SUMMARY:Single-Cell RNA-Seq - Day One
DESCRIPTION:RNA sequencing of single cells (scRNA-seq) provides a high-resolution view of cellular differences and function. First\, this workshop introduces the basic concepts and data analysis tools for single-cell RNA-seq techniques. Next\, this workshop covers the important applications of scRNA-seq\, the important considerations in designing a scRNA-seq experiment\, the major differences between popular technical platforms\, and the main steps in preliminary data analysis. This workshop can serve as a starting point to conceive a scRNA-seq study or to analyze a scRNA-seq dataset.
URL:https://qcb.ucla.edu/event/single-cell-rna-seq-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/14/2018/08/2018_10_30-scRNAseq.png
ORGANIZER;CN="QCB Collaboratory":MAILTO:collaboratory@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20181030T093000
DTEND;TZID=America/Los_Angeles:20181030T123000
DTSTAMP:20260618T154930
CREATED:20180823T210752Z
LAST-MODIFIED:20180910T174910Z
UID:7309-1540891800-1540902600@qcb.ucla.edu
SUMMARY:Library Prep for Next Generation Sequencing - Day One
DESCRIPTION:Library preparation is a critical part of successful next generation sequencing analysis. This workshop introduces the basis of Next-Gen Sequencing Library Preparation for Illumina Sequencers. We will explore different Library Preparation Techniques (DNA-seq\, ChIP-seq\, RNA-seq\, Methyl-seq). Next\, this workshop covers steps for performing Quality Control\, starting input material\, final libraries in the Lab (TapeStation)\, purification from Primer Dimers (using AMPure beads)\, and Library Submission.
URL:https://qcb.ucla.edu/event/library-prep-for-next-generation-sequencing-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/14/2018/08/2018_10_30-Library-Prep-for-NGS.png
ORGANIZER;CN="QCB Collaboratory":MAILTO:collaboratory@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20181025T093000
DTEND;TZID=America/Los_Angeles:20181025T113000
DTSTAMP:20260618T154930
CREATED:20180823T210752Z
LAST-MODIFIED:20180910T174910Z
UID:7308-1540459800-1540467000@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/
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/14/2018/08/2018_10_23-RNAseq2.png
ORGANIZER;CN="QCB Collaboratory":MAILTO:collaboratory@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20181023T093000
DTEND;TZID=America/Los_Angeles:20181023T113000
DTSTAMP:20260618T154930
CREATED:20180823T210750Z
LAST-MODIFIED:20180910T174910Z
UID:7307-1540287000-1540294200@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/
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/14/2018/08/2018_10_23-RNAseq2.png
ORGANIZER;CN="QCB Collaboratory":MAILTO:collaboratory@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20181018T130000
DTEND;TZID=America/Los_Angeles:20181018T160000
DTSTAMP:20260618T154930
CREATED:20180823T210749Z
LAST-MODIFIED:20180910T173906Z
UID:7306-1539867600-1539878400@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/
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/14/2018/08/2018_10_16-Machine-Learning-with-Python.png
ORGANIZER;CN="QCB Collaboratory":MAILTO:collaboratory@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20181018T093000
DTEND;TZID=America/Los_Angeles:20181018T113000
DTSTAMP:20260618T154930
CREATED:20180823T210747Z
LAST-MODIFIED:20180910T174834Z
UID:7303-1539855000-1539862200@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/
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/14/2018/08/2018_10_16-RNAseq1.png
ORGANIZER;CN="QCB Collaboratory":MAILTO:collaboratory@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20181017T130000
DTEND;TZID=America/Los_Angeles:20181017T160000
DTSTAMP:20260618T154930
CREATED:20180823T210748Z
LAST-MODIFIED:20180910T173924Z
UID:7305-1539781200-1539792000@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/
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/14/2018/08/2018_10_16-Machine-Learning-with-Python.png
ORGANIZER;CN="QCB Collaboratory":MAILTO:collaboratory@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20181017T093000
DTEND;TZID=America/Los_Angeles:20181017T113000
DTSTAMP:20260618T154930
CREATED:20180823T210746Z
LAST-MODIFIED:20180910T174834Z
UID:7302-1539768600-1539775800@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/
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/14/2018/08/2018_10_16-RNAseq1.png
ORGANIZER;CN="QCB Collaboratory":MAILTO:collaboratory@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20181016T130000
DTEND;TZID=America/Los_Angeles:20181016T160000
DTSTAMP:20260618T154930
CREATED:20180823T210748Z
LAST-MODIFIED:20180910T173924Z
UID:7304-1539694800-1539705600@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/
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/14/2018/08/2018_10_16-Machine-Learning-with-Python.png
ORGANIZER;CN="QCB Collaboratory":MAILTO:collaboratory@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20181016T093000
DTEND;TZID=America/Los_Angeles:20181016T113000
DTSTAMP:20260618T154930
CREATED:20180823T210746Z
LAST-MODIFIED:20180910T174834Z
UID:7301-1539682200-1539689400@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/
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/14/2018/08/2018_10_16-RNAseq1.png
ORGANIZER;CN="QCB Collaboratory":MAILTO:collaboratory@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20181011T130000
DTEND;TZID=America/Los_Angeles:20181011T153000
DTSTAMP:20260618T154930
CREATED:20180823T210745Z
LAST-MODIFIED:20180910T173924Z
UID:7300-1539262800-1539271800@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/
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/14/2018/08/2018_10_09-Intro-to-Modern-Statistics.png
ORGANIZER;CN="QCB Collaboratory":MAILTO:collaboratory@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20181011T093000
DTEND;TZID=America/Los_Angeles:20181011T123000
DTSTAMP:20260618T154930
CREATED:20180823T210742Z
LAST-MODIFIED:20180910T174759Z
UID:7297-1539250200-1539261000@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/
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/14/2018/08/2018_10_09-Intro-to-R.png
ORGANIZER;CN="QCB Collaboratory":MAILTO:collaboratory@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20181010T130000
DTEND;TZID=America/Los_Angeles:20181010T153000
DTSTAMP:20260618T154930
CREATED:20180823T210744Z
LAST-MODIFIED:20180910T173925Z
UID:7299-1539176400-1539185400@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/
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/14/2018/08/2018_10_09-Intro-to-Modern-Statistics.png
ORGANIZER;CN="QCB Collaboratory":MAILTO:collaboratory@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20181010T093000
DTEND;TZID=America/Los_Angeles:20181010T123000
DTSTAMP:20260618T154930
CREATED:20180823T210741Z
LAST-MODIFIED:20180910T174759Z
UID:7296-1539163800-1539174600@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/
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/14/2018/08/2018_10_09-Intro-to-R.png
ORGANIZER;CN="QCB Collaboratory":MAILTO:collaboratory@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20181009T130000
DTEND;TZID=America/Los_Angeles:20181009T153000
DTSTAMP:20260618T154930
CREATED:20180823T210743Z
LAST-MODIFIED:20180910T173925Z
UID:7298-1539090000-1539099000@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/
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/14/2018/08/2018_10_09-Intro-to-Modern-Statistics.png
ORGANIZER;CN="QCB Collaboratory":MAILTO:collaboratory@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20181009T093000
DTEND;TZID=America/Los_Angeles:20181009T123000
DTSTAMP:20260618T154930
CREATED:20180823T210740Z
LAST-MODIFIED:20180910T174759Z
UID:7295-1539077400-1539088200@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/
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/14/2018/08/2018_10_09-Intro-to-R.png
ORGANIZER;CN="QCB Collaboratory":MAILTO:collaboratory@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20181004T133000
DTEND;TZID=America/Los_Angeles:20181004T163000
DTSTAMP:20260618T154930
CREATED:20180823T210740Z
LAST-MODIFIED:20180910T174759Z
UID:7294-1538659800-1538670600@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/
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/14/2018/08/2018_10_02-Advanced-Python.png
ORGANIZER;CN="QCB Collaboratory":MAILTO:collaboratory@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20181004T093000
DTEND;TZID=America/Los_Angeles:20181004T123000
DTSTAMP:20260618T154930
CREATED:20180823T210737Z
LAST-MODIFIED:20180910T174834Z
UID:7291-1538645400-1538656200@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/
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/14/2018/08/2018_10_02-Using-NGS-Analysis-Tools.png
ORGANIZER;CN="QCB Collaboratory":MAILTO:collaboratory@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20181003T133000
DTEND;TZID=America/Los_Angeles:20181003T163000
DTSTAMP:20260618T154930
CREATED:20180823T210739Z
LAST-MODIFIED:20180910T174759Z
UID:7293-1538573400-1538584200@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/
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/14/2018/08/2018_10_02-Advanced-Python.png
ORGANIZER;CN="QCB Collaboratory":MAILTO:collaboratory@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20181003T093000
DTEND;TZID=America/Los_Angeles:20181003T123000
DTSTAMP:20260618T154930
CREATED:20180823T210736Z
LAST-MODIFIED:20180910T174834Z
UID:7290-1538559000-1538569800@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/
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/14/2018/08/2018_10_02-Using-NGS-Analysis-Tools.png
ORGANIZER;CN="QCB Collaboratory":MAILTO:collaboratory@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20181002T133000
DTEND;TZID=America/Los_Angeles:20181002T163000
DTSTAMP:20260618T154930
CREATED:20180823T210738Z
LAST-MODIFIED:20180910T174759Z
UID:7292-1538487000-1538497800@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/
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/14/2018/08/2018_10_02-Advanced-Python.png
ORGANIZER;CN="QCB Collaboratory":MAILTO:collaboratory@ucla.edu
END:VEVENT
END:VCALENDAR