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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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TZID:America/Los_Angeles
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DTSTART:20240310T100000
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DTSTART:20241103T090000
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DTSTART:20261101T090000
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20251103T120000
DTEND;TZID=America/Los_Angeles:20251103T130000
DTSTAMP:20260615T134644
CREATED:20250930T022511Z
LAST-MODIFIED:20251028T190134Z
UID:28475-1762171200-1762174800@qcb.ucla.edu
SUMMARY:Frontiers in Computational Biosciences Seminar Series: Hooman Allayee\, PhD\, Professor-in-residence\, Medicine\, UCLA
DESCRIPTION:TITLE: “System Genetics Studies of Coronary Artery Disease”
URL:https://qcb.ucla.edu/event/frontiers-in-computational-biosciences-seminar-series-allayee-hooman-phd-professor-in-residence-medicine-ucla/
LOCATION:Boyer 159\, 611 Charles E. Young Dr. E.\, Los Angeles\, CA\, 90095\, United States
ATTACH;FMTTYPE=image/png:https://wp-misc.lifesci.ucla.edu/qcb/wp-content/uploads/sites/14/2025/09/Screenshot-2025-09-29-at-7.24.44-PM.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20251104T133000
DTEND;TZID=America/Los_Angeles:20251106T163000
DTSTAMP:20260615T134644
CREATED:20191212T194918Z
LAST-MODIFIED:20250825T203411Z
UID:10825-1762263000-1762446600@qcb.ucla.edu
SUMMARY:W24: Cancer Genomics
DESCRIPTION:As we step into the era of precision medicine\, the need for extensive genomic data analysis is more pressing than ever. With the advent of high-throughput technologies\, a plethora of genomic\, transcriptomic\, and epigenomic datasets from cancer patients have been sequenced\, providing a wealth of data for systematic bioinformatics analysis. This workshop is tailored to assist cancer bioinformaticians\, postdoc researchers\, and graduate students who are interested in incorporating expansive cancer genomic datasets from an open-source platform – The Cancer Genome Atlas (TCGA) – into their research.\n Enrolled participants will gain insights into the fundamental principles of TCGA\, including the different data categories and structures\, methods for downloading data\, and basic pipelines for data analysis within the TCGA platform. The workshop will also provide a versatile R script scaffold for mining TCGA datasets\, empowering attendees to analyze their own unique cohorts of cancer genomic datasets.
URL:https://qcb.ucla.edu/event/w15-bacterial-genomics/
LOCATION:529 Boyer Hall\, 611 Charles E Young Dr E\,\, Los Angeles\, CA\, 90095\, United States
CATEGORIES:Workshops,Interactive Workshop
ATTACH;FMTTYPE=image/png:https://wp-misc.lifesci.ucla.edu/qcb/wp-content/uploads/sites/14/2020/02/1dNLbh0n_400x400.png
ORGANIZER;CN="QCB Collaboratory":MAILTO:collaboratory@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20251110T090000
DTEND;TZID=America/Los_Angeles:20251113T120000
DTSTAMP:20260615T134644
CREATED:20250825T203927Z
LAST-MODIFIED:20250825T203927Z
UID:28265-1762765200-1763035200@qcb.ucla.edu
SUMMARY:W27:  Systems biology of metabolism – workflows and resources for multi-omics data integration
DESCRIPTION:The application of omics (i.e.\, metabolomics\, proteomics\, transcriptomics\, genomics) has become greatly popular in the life sciences. These technologies unlock the investigation of metabolism across thousands of genes\, proteins\, and metabolites\, and provide a holistic perspective on the system of interest. However\, to gather a systems-level understanding of biological functions in health and disease\, omics data must be integrated in the relevant metabolic networks\, in the context of allosteric\, signaling and other regulatory layers. Metabolites can be regarded as a functional readout for the activity of a biological system. Therefore\, their measured abundances can be leveraged to guide the interpretation of other omics layers of information. In this workshop\, we provide an introduction and hands-on practical exercises on state-of-the art workflows and tools for the integration and interpretation of metabolomics data sets in the context of transcriptomics\, proteomics\, and genomics data. We will first introduce tools for processing metabolomics data at high throughput\, such as the XCMS\, MetaboAnalyst\, METLIN\, LIPID MAPS\, The Human Metabolome Database\, and the GNPS. We will further present tools for multi-omics integration and interpretation\, including PathView\, Reactome\, MixOmics\, PARADIGM\, among others. The objective of this workshop is to i) provide a comprehensive overview on tools and resources for metabolomics data analysis and multi-omics interpretation\, ii) provide hands-on training on open-source tools for systems biology of metabolism. This workshop is addressed to empirical biologists and computational biologists interested in metabolism.
URL:https://qcb.ucla.edu/event/w27-metabolomics/
LOCATION:ZOOM\, CA\, United States
ATTACH;FMTTYPE=image/png:https://wp-misc.lifesci.ucla.edu/qcb/wp-content/uploads/sites/14/2020/02/1dNLbh0n_400x400.png
ORGANIZER;CN="QCB Collaboratory":MAILTO:collaboratory@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20251110T120000
DTEND;TZID=America/Los_Angeles:20251110T130000
DTSTAMP:20260615T134644
CREATED:20250930T022724Z
LAST-MODIFIED:20251111T000517Z
UID:28479-1762776000-1762779600@qcb.ucla.edu
SUMMARY:Frontiers in Computational Biosciences Seminar Series: Jian Zeng\, PhD\, Group Leader - Centre for Population and Disease Genomics - Institute for Molecular Bioscience The University of Queensland - Australia
DESCRIPTION:TITLE: “Leveraging functional annotations to enhance trait prediction and biological discovery” \nWatch recording on YouTube: https://www.youtube.com/channel/UCokAYrjf_TaziPtmn6l4-5A
URL:https://qcb.ucla.edu/event/frontiers-in-computational-biosciences-seminar-series-jian-zeng-phd-group-leader-centre-for-population-and-disease-genomics-institute-for-molecular-bioscience-the-university-of-queensland-aus/
LOCATION:ZOOM\, CA\, United States
CATEGORIES:Research Seminars
ATTACH;FMTTYPE=image/jpeg:https://wp-misc.lifesci.ucla.edu/qcb/wp-content/uploads/sites/14/2025/09/Jian_Zeng_small.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20251117T120000
DTEND;TZID=America/Los_Angeles:20251117T130000
DTSTAMP:20260615T134644
CREATED:20250930T023001Z
LAST-MODIFIED:20251119T013555Z
UID:28483-1763380800-1763384400@qcb.ucla.edu
SUMMARY:Frontiers in Computational Biosciences Seminar Series: Kalli Kappel\, PhD\, Assistant Professor\, Department of Chemistry & Biochemistry\, UCLA
DESCRIPTION:TITLE: “Decoding RNA and protein sequence-organization-function relationships” \nWatch recording on YouTube: https://www.youtube.com/channel/UCokAYrjf_TaziPtmn6l4-5A
URL:https://qcb.ucla.edu/event/frontiers-in-computational-biosciences-seminar-series-kalli-kappel-phd-assistant-professor-department-of-chemistry-biochemistry-ucla/
LOCATION:Boyer 159\, 611 Charles E. Young Dr. E.\, Los Angeles\, CA\, 90095\, United States
CATEGORIES:Research Seminars
ATTACH;FMTTYPE=image/jpeg:https://wp-misc.lifesci.ucla.edu/qcb/wp-content/uploads/sites/14/2025/09/download.jpeg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20251118T133000
DTEND;TZID=America/Los_Angeles:20251120T163000
DTSTAMP:20260615T134644
CREATED:20250829T180223Z
LAST-MODIFIED:20250829T180223Z
UID:28296-1763472600-1763656200@qcb.ucla.edu
SUMMARY:W25: Population Genetics Modeling
DESCRIPTION:In order to make inferences based on genomic data\, it is useful to understand the evolutionary forces that underlie observed genetic variation. The field of population genetics offers theoretical tools to test predictions\, gain intuition\, and even generate training data for statistical and deep learning models. However\, population genetics simulations have historically been slow and complex\, making effective usage of such tools difficult. Recently\, the evolutionary simulation framework SLiM (Selection on Linked Mutations) has revolutionized the field\, making the capability to model complex evolutionary scenarios more accessible. In this workshop\, participants will be introduced to the population genetics theory underlying SLiM\, learn how to model complex scenarios\, and practice interpreting the results of their simulations to make predictions about real-world data. Participants will also be given the opportunity to bring in their own data to analyze and use as inspiration to generate models. By learning about the fundamental forces that shape genomic data and how to model them\, participants will gain a combination of both theoretical insights into evolutionary genetics and practical insights into relevant computational tools.
URL:https://qcb.ucla.edu/event/w25-population-genetics/
LOCATION:529 Boyer Hall\, 611 Charles E Young Dr E\,\, Los Angeles\, CA\, 90095\, United States
CATEGORIES:Workshops,Interactive Workshop
ATTACH;FMTTYPE=image/png:https://wp-misc.lifesci.ucla.edu/qcb/wp-content/uploads/sites/14/2020/02/1dNLbh0n_400x400.png
ORGANIZER;CN="QCB Collaboratory":MAILTO:collaboratory@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20251120T120000
DTEND;TZID=America/Los_Angeles:20251120T130000
DTSTAMP:20260615T134644
CREATED:20251112T154654Z
LAST-MODIFIED:20251112T154910Z
UID:28643-1763640000-1763643600@qcb.ucla.edu
SUMMARY:QCBio Special Seminar: Thomas Kammertöns\, PhD\, Institute for Cancer Immunology\, Charité\, Universitätsmedizin Berlin
DESCRIPTION:TITLE: ““The role of IFN-γ in Tumor Immunity – Mechanisms and TCR Gene Therapy”
URL:https://qcb.ucla.edu/event/qcbio-special-seminar-thomas-kammertons-phd/
LOCATION:Boyer Hall 554
CATEGORIES:Research Seminars,Special Event
ATTACH;FMTTYPE=image/jpeg:https://wp-misc.lifesci.ucla.edu/qcb/wp-content/uploads/sites/14/2025/11/MDC_T-Kammertons.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20251124T120000
DTEND;TZID=America/Los_Angeles:20251124T130000
DTSTAMP:20260615T134644
CREATED:20250930T023212Z
LAST-MODIFIED:20251202T155641Z
UID:28487-1763985600-1763989200@qcb.ucla.edu
SUMMARY:Frontiers in Computational Biosciences Seminar Series: Yi Zhang\, PhD\, Assistant Professor\, Neurosurgery and Biostatistics & Bioinformatics\, Duke University
DESCRIPTION:TITLE: “Interpretable machine learning methods to understand tissue heterogeneity using large-scale single-cell genomics and high-definition spatial transcriptomics” \nWatch recording on YouTube: https://www.youtube.com/channel/UCokAYrjf_TaziPtmn6l4-5A
URL:https://qcb.ucla.edu/event/frontiers-in-computational-biosciences-seminar-series-yi-zhang-phd-assistant-professor-of-ecology-evolution/
LOCATION:Boyer 159\, 611 Charles E. Young Dr. E.\, Los Angeles\, CA\, 90095\, United States
CATEGORIES:Research Seminars
ATTACH;FMTTYPE=image/png:https://wp-misc.lifesci.ucla.edu/qcb/wp-content/uploads/sites/14/2025/09/image002.png
END:VEVENT
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