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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:20180311T100000
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DTSTART:20181104T090000
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190509T133000
DTEND;TZID=America/Los_Angeles:20190509T153000
DTSTAMP:20260618T132118
CREATED:20190226T194848Z
LAST-MODIFIED:20190226T204703Z
UID:8917-1557408600-1557415800@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-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/S19-12-W5b-RNAseq-II.png
ORGANIZER;CN="QCB Collaboratory":MAILTO:collaboratory@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190509T100000
DTEND;TZID=America/Los_Angeles:20190509T120000
DTSTAMP:20260618T132118
CREATED:20190226T194848Z
LAST-MODIFIED:20190226T204459Z
UID:8915-1557396000-1557403200@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-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/S19-11-W11-Metagenomics.png
ORGANIZER;CN="QCB Collaboratory":MAILTO:collaboratory@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190508T100000
DTEND;TZID=America/Los_Angeles:20190508T120000
DTSTAMP:20260618T132118
CREATED:20190226T194848Z
LAST-MODIFIED:20190226T203928Z
UID:8914-1557309600-1557316800@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-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/S19-11-W11-Metagenomics.png
ORGANIZER;CN="QCB Collaboratory":MAILTO:collaboratory@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190507T133000
DTEND;TZID=America/Los_Angeles:20190507T153000
DTSTAMP:20260618T132118
CREATED:20190226T194848Z
LAST-MODIFIED:20190226T203857Z
UID:8916-1557235800-1557243000@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-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/S19-12-W5b-RNAseq-II.png
ORGANIZER;CN="QCB Collaboratory":MAILTO:collaboratory@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190507T100000
DTEND;TZID=America/Los_Angeles:20190507T120000
DTSTAMP:20260618T132118
CREATED:20190226T194847Z
LAST-MODIFIED:20190226T203826Z
UID:8913-1557223200-1557230400@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-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/S19-11-W11-Metagenomics.png
ORGANIZER;CN="QCB Collaboratory":MAILTO:collaboratory@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190506T160000
DTEND;TZID=America/Los_Angeles:20190506T170000
DTSTAMP:20260618T132118
CREATED:20190501T173115Z
LAST-MODIFIED:20190501T173115Z
UID:9380-1557158400-1557162000@qcb.ucla.edu
SUMMARY:Bioinformatics IDP Seminar- Eric Deeds\, PhD
DESCRIPTION:Eric Deeds\, PhD is an Associate Professor at UCLA\, and this seminar will be held in Boyer Hall\, room 159 on May 6\, 2019\, from 4PM-5PM. \n  \nDate/Time: May 6\, 2019; 4PM-5PM \nLocation: Boyer Hall\, 159 \nTitle: “Fundamental trade-offs between information flow in single cells and cellular populations”
URL:https://qcb.ucla.edu/event/bioinformatics-idp-seminar-eric-deeds-phd/
LOCATION:Boyer 159
ATTACH;FMTTYPE=image/png:https://wp-misc.lifesci.ucla.edu/qcb/wp-content/uploads/sites/14/2019/03/QCB_slider_eric-e1556731805176.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190502T160000
DTEND;TZID=America/Los_Angeles:20190502T170000
DTSTAMP:20260618T132118
CREATED:20190430T181739Z
LAST-MODIFIED:20190430T181836Z
UID:9369-1556812800-1556816400@qcb.ucla.edu
SUMMARY:Orion Weiner\, PhD - "The Role of Shape and Timing in Cellular Decision-Making"
DESCRIPTION:Orion Weiner\, PhD is a professor at the Cardiovascular Research Institute at UC-San Francisco. This event is hosted by the UCLA Molecular Biology Institute on May 2\, 2019 in Boyer Hall\, Room 159 at 4:00PM.
URL:https://qcb.ucla.edu/event/orion-weiner-phd-the-role-of-shape-and-timing-in-cellular-decision-making/
LOCATION:Boyer Hall 159
ATTACH;FMTTYPE=image/jpeg:https://wp-misc.lifesci.ucla.edu/qcb/wp-content/uploads/sites/14/2019/04/UCLAMBI.jpeg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190502T140000
DTEND;TZID=America/Los_Angeles:20190502T180000
DTSTAMP:20260618T132118
CREATED:20190430T182749Z
LAST-MODIFIED:20190430T182749Z
UID:9374-1556805600-1556820000@qcb.ucla.edu
SUMMARY:QCBio 4th Annual Career Panel
DESCRIPTION:QCBio is hosting a Career Panel geared towards graduate students and postdoctoral scholars in the quantitative and computation biosciences\, however students in the field of bioinformatics\, bioengineering\, computer science\, computational and systems biology\, statistics\, molecular biology\, genetics & genomics\, biochemistry are also invited! We will have four experienced scientists from the biotech industry attending as speakers\, with the career panel discussion being from 2PM-4PM. Following the discussion\, there will be a networking happy hour from 4PM-6PM. This event will be held on May 2\, 2019 at the La Kretz Garden Pavilion. Doors open at 1:30PM. \n  \n*food and drinks will be provided*
URL:https://qcb.ucla.edu/event/qcbio-4th-annual-career-panel/
LOCATION:La Kretz Garden Pavilion
CATEGORIES:Symposium
ATTACH;FMTTYPE=image/png:https://wp-misc.lifesci.ucla.edu/qcb/wp-content/uploads/sites/14/2019/04/QCBioCareerPanel.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190502T133000
DTEND;TZID=America/Los_Angeles:20190502T153000
DTSTAMP:20260618T132118
CREATED:20190226T194846Z
LAST-MODIFIED:20190226T203736Z
UID:8912-1556803800-1556811000@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-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/S19-10-W5a-RNAseq-I.png
ORGANIZER;CN="QCB Collaboratory":MAILTO:collaboratory@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190502T093000
DTEND;TZID=America/Los_Angeles:20190502T123000
DTSTAMP:20260618T132118
CREATED:20190226T194846Z
LAST-MODIFIED:20190226T203702Z
UID:8909-1556789400-1556800200@qcb.ucla.edu
SUMMARY:Single-Cell RNA-Seq - Day Three
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-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/14/2019/02/S19-09-W21-scRNAseq.png
ORGANIZER;CN="QCB Collaboratory":MAILTO:collaboratory@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190501T170000
DTEND;TZID=America/Los_Angeles:20190501T190000
DTSTAMP:20260618T132118
CREATED:20190409T220952Z
LAST-MODIFIED:20190409T224206Z
UID:9222-1556730000-1556737200@qcb.ucla.edu
SUMMARY:AMEBA's "Demystifying Oral Quals"
DESCRIPTION:“Demystifying Oral Quals” will be hosted by the Association for Multi-Ethnic Bioscientists’ Advancement (AMEBA) on Wednesday\, May 1\, 2019. The purpose of the event is to bring together senior grad students and pre-doctoral students in a casual environment to discuss the steps and process of taking the oral qualifying exam. AMEBA will be providing department-specific grad-student mentors for home areas in Graduate Program of Biosciences.  \n  \n  \n*RSVP Required* \n  \n  \n  \nDate: May 1\, 2019 \nTime: 5:00PM – 7:00PM \nLocation: Boyer Hall 159 \n*Food/drinks will be provided*
URL:https://qcb.ucla.edu/event/amebas-demystifying-oral-quals/
LOCATION:Boyer Hall 159
ATTACH;FMTTYPE=image/png:https://wp-misc.lifesci.ucla.edu/qcb/wp-content/uploads/sites/14/2019/04/eventamea.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190501T133000
DTEND;TZID=America/Los_Angeles:20190501T153000
DTSTAMP:20260618T132118
CREATED:20190226T194846Z
LAST-MODIFIED:20190226T203620Z
UID:8911-1556717400-1556724600@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-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/S19-10-W5a-RNAseq-I.png
ORGANIZER;CN="QCB Collaboratory":MAILTO:collaboratory@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190501T093000
DTEND;TZID=America/Los_Angeles:20190501T123000
DTSTAMP:20260618T132118
CREATED:20190226T194845Z
LAST-MODIFIED:20190226T203540Z
UID:8908-1556703000-1556713800@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-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/S19-09-W21-scRNAseq.png
ORGANIZER;CN="QCB Collaboratory":MAILTO:collaboratory@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190430T133000
DTEND;TZID=America/Los_Angeles:20190430T153000
DTSTAMP:20260618T132118
CREATED:20190226T194846Z
LAST-MODIFIED:20190226T203455Z
UID:8910-1556631000-1556638200@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-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/S19-10-W5a-RNAseq-I.png
ORGANIZER;CN="QCB Collaboratory":MAILTO:collaboratory@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190430T093000
DTEND;TZID=America/Los_Angeles:20190430T123000
DTSTAMP:20260618T132118
CREATED:20190226T194844Z
LAST-MODIFIED:20190226T203417Z
UID:8907-1556616600-1556627400@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-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/S19-09-W21-scRNAseq.png
ORGANIZER;CN="QCB Collaboratory":MAILTO:collaboratory@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190425T133000
DTEND;TZID=America/Los_Angeles:20190425T163000
DTSTAMP:20260618T132118
CREATED:20190226T194844Z
LAST-MODIFIED:20190226T203338Z
UID:8906-1556199000-1556209800@qcb.ucla.edu
SUMMARY:Advanced Python - Day Three
DESCRIPTION:Python can be used to handle large datasets\, and is useful in manipulating data and plotting data trends for visual presentation. First\, this workshop introduces several more advanced topics in Python\, such as a brief overview of object-oriented Python\, use of the numpy and pandas libraries (Python libraries for efficient handling of large numeric and heterogenous datasets)\, and matplotlib for plotting results. At the end of this workshop\, students will better understand the python data structures for handling large datasets and will have some knowledge of how to manipulate these data and plot them for presentation.
URL:https://qcb.ucla.edu/event/advanced-python-day-three-3/
LOCATION:The Collaboratory\, 610 Charles E Young Drive East - BOYER HALL ROOM 529\, Los Angeles\, CA\, 90095\, United States
CATEGORIES:Interactive Workshop
ATTACH;FMTTYPE=image/png:https://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:20190425T093000
DTEND;TZID=America/Los_Angeles:20190425T123000
DTSTAMP:20260618T132118
CREATED:20190226T194844Z
LAST-MODIFIED:20190226T201343Z
UID:8903-1556184600-1556195400@qcb.ucla.edu
SUMMARY:Using NGS Analysis Tools - Day Three
DESCRIPTION:High-throughput sequencing technology involves a number of concepts and techniques that shape a project before application-specific processes are utilized. First\, this workshop introduces the more ÒuniversalÓ aspects of high-throughput sequence analysisÑfrom experimental design to sequencing and alignment methods. Next\, this workshop covers common file formats for sequence data and limitations of sequencing technologies. We will explore a hands-on exercise using the Hoffman2 cluster and will use programs designed to analyze read data\, clean artifact and low-quality sequences\, and align short reads to a reference genome. At the end of this workshop\, students will better understand the logic behind how many of these steps work. Students who are comfortable working with the command line will find this course significantly easier than those who are inexperienced in command-line interface. While Workshop 1 is not an absolute requirement\, it is highly recommended for any student who is not already experienced working in a command line environment. A student who takes this workshop at the same time as Workshop 1 should not find any problems with timing of material between these two classes.
URL:https://qcb.ucla.edu/event/using-ngs-analysis-tools-day-three-3/
LOCATION:The Collaboratory\, 610 Charles E Young Drive East - BOYER HALL ROOM 529\, Los Angeles\, CA\, 90095\, United States
CATEGORIES:Interactive Workshop
ATTACH;FMTTYPE=image/png:https://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:20190424T133000
DTEND;TZID=America/Los_Angeles:20190424T163000
DTSTAMP:20260618T132118
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:20260618T132118
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:20260618T132118
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:20260618T132118
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:20260618T132118
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:20260618T132118
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:20260618T132118
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:20260618T132118
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:20260618T132118
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:20260618T132118
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:20260618T132118
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:20260618T132118
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:20260618T132118
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
END:VCALENDAR