BEGIN:VCALENDAR VERSION:2.0 PRODID:-//Institute for Quantitative and Computational Biosciences - ECPv6.16.3//NONSGML v1.0//EN CALSCALE:GREGORIAN METHOD:PUBLISH 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 REFRESH-INTERVAL;VALUE=DURATION:PT1H X-Robots-Tag:noindex X-PUBLISHED-TTL:PT1H BEGIN:VTIMEZONE TZID:America/Los_Angeles BEGIN:DAYLIGHT TZOFFSETFROM:-0800 TZOFFSETTO:-0700 TZNAME:PDT DTSTART:20220313T100000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0700 TZOFFSETTO:-0800 TZNAME:PST DTSTART:20221106T090000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:-0800 TZOFFSETTO:-0700 TZNAME:PDT DTSTART:20230312T100000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0700 TZOFFSETTO:-0800 TZNAME:PST DTSTART:20231105T090000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:-0800 TZOFFSETTO:-0700 TZNAME:PDT DTSTART:20240310T100000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0700 TZOFFSETTO:-0800 TZNAME:PST DTSTART:20241103T090000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:-0800 TZOFFSETTO:-0700 TZNAME:PDT DTSTART:20250309T100000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0700 TZOFFSETTO:-0800 TZNAME:PST DTSTART:20251102T090000 END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20240429T140000 DTEND;TZID=America/Los_Angeles:20240429T140000 DTSTAMP:20260615T231810 CREATED:20240407T153716Z LAST-MODIFIED:20240407T153716Z UID:26480-1714399200-1714399200@qcb.ucla.edu SUMMARY:Frontiers in Computational Biosciences Seminar Series: Omolola Ogunyemi\, PhD\, FACMI\, Director\, Center for Biomedical Informatics\, Professor\, Preventive & Social Medicine Charles Drew University DESCRIPTION:TITLE: “AI and the Healthcare Safety Net” \nHosted by William Hsu for Medical Informatics URL:https://qcb.ucla.edu/event/frontiers-in-computational-biosciences-seminar-series-omolola-ogunyemi-phd-facmi-director-center-for-biomedical-informatics-professor-preventive-social-medicine-charles-drew-university/ LOCATION:529 Boyer Hall\, 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/14/2024/04/Omo.jpg END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20240425T173000 DTEND;TZID=America/Los_Angeles:20240425T183000 DTSTAMP:20260615T231810 CREATED:20241215T201002Z LAST-MODIFIED:20250122T013239Z UID:27303-1714066200-1714069800@qcb.ucla.edu SUMMARY:Webinar: Age - Just a Number? DESCRIPTION: URL:https://qcb.ucla.edu/event/age-just-a-number/ LOCATION:ZOOM\, CA\, United States CATEGORIES:Webinar END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20240422T120000 DTEND;TZID=America/Los_Angeles:20240422T130000 DTSTAMP:20260615T231810 CREATED:20240407T153357Z LAST-MODIFIED:20240407T153357Z UID:26476-1713787200-1713790800@qcb.ucla.edu SUMMARY:Frontiers in Computational Biosciences Seminar Series: Mia Levine\, PhD\, Associate Professor\, University of Pennsylvania DESCRIPTION:TITLE: “Intra-genomic conflict and the evolution of genome integrity” \nHosted by Kirk Lohmueller for Genetics & Genomics URL:https://qcb.ucla.edu/event/frontiers-in-computational-biosciences-seminar-series-mia-levine-phd-associate-professor-university-of-pennsylvania/ LOCATION:Boyer 159 CATEGORIES:Research Seminars ATTACH;FMTTYPE=image/jpeg:https://wp-misc.lifesci.ucla.edu/qcb/wp-content/uploads/sites/14/2024/04/MIA.jpg END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20240415T120000 DTEND;TZID=America/Los_Angeles:20240415T130000 DTSTAMP:20260615T231810 CREATED:20240407T153129Z LAST-MODIFIED:20240407T153129Z UID:26472-1713182400-1713186000@qcb.ucla.edu SUMMARY:Frontiers in Computational Biosciences Seminar Series: Chongzhi Zang\, PhD\, Associate Professor\, University of Virginia DESCRIPTION:TITLE: “Computational Methods for Trancriptional Regulation” \nHosted by Jingyi Jessica Li for Bioinformatics URL:https://qcb.ucla.edu/event/frontiers-in-computational-biosciences-seminar-series-chongzhi-zang-phd-associate-professor-university-of-virginia/ LOCATION:Boyer 159 CATEGORIES:Research Seminars ATTACH;FMTTYPE=image/jpeg:https://wp-misc.lifesci.ucla.edu/qcb/wp-content/uploads/sites/14/2024/04/Chongzhi.jpg END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20240408T120000 DTEND;TZID=America/Los_Angeles:20240408T130000 DTSTAMP:20260615T231810 CREATED:20240407T152731Z LAST-MODIFIED:20240407T152731Z UID:26467-1712577600-1712581200@qcb.ucla.edu SUMMARY:Frontiers in Computational Biosciences Seminar Series: Barbara Cheifet\, PhD\, Editor in Chief\, Nature Biotechnology DESCRIPTION:TITLE: “Publishing for Impact” \nHosted by Jingyi Jessica Li for Bioinformatics URL:https://qcb.ucla.edu/event/frontiers-in-computational-biosciences-seminar-series-barbara-cheifet-phd-editor-in-chief-nature-biotechnology/ 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/14/2024/04/Barbara.jpg END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20240401T120000 DTEND;TZID=America/Los_Angeles:20240401T130000 DTSTAMP:20260615T231810 CREATED:20240401T144912Z LAST-MODIFIED:20240401T145230Z UID:26433-1711972800-1711976400@qcb.ucla.edu SUMMARY:Frontiers in Computational Biosciences Seminar Series: Alexis Battle\, PhD\, Professor\, Biomedical Engineering\, Computer Science and Genetics Medicine Director\, Malone Center for Engineering in Healthcare\, Johns Hopkins University DESCRIPTION:TITLE: “Multi-omic and temporal data for rare and common genetic variation” URL:https://qcb.ucla.edu/event/frontiers-in-computational-biosciences-seminar-series-alexis-battle-phd-professor-biomedical-engineering-computer-science-and-genetics-medicine-director-malone-center-for-engineering-in-healthcar/ LOCATION:Boyer 159 CATEGORIES:Research Seminars ATTACH;FMTTYPE=image/jpeg:https://wp-misc.lifesci.ucla.edu/qcb/wp-content/uploads/sites/14/2024/04/ALEXIS.jpg END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20240311T120000 DTEND;TZID=America/Los_Angeles:20240311T130000 DTSTAMP:20260615T231810 CREATED:20240109T214908Z LAST-MODIFIED:20240109T214908Z UID:26273-1710158400-1710162000@qcb.ucla.edu SUMMARY:Frontiers in Computational Biosciences Seminar Series: Alkes Price\, PhD\, Professor\, Harvard School of Public Health DESCRIPTION:TITLE: “Functional architectures of complex disease” \nHosted by Noah Zaitlen for Genetics & Genomics URL:https://qcb.ucla.edu/event/frontiers-in-computational-biosciences-seminar-series-alkes-price-phd-professor-harvard-school-of-public-health/ LOCATION:Boyer 159\, 611 Charles E. Young Dr. E.\, Los Angeles\, CA\, 90095\, United States CATEGORIES:QCBio Seminar Series ATTACH;FMTTYPE=image/jpeg:https://wp-misc.lifesci.ucla.edu/qcb/wp-content/uploads/sites/14/2024/01/Seminar-Series-Poster-–-W2499-6.jpg END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20240304T120000 DTEND;TZID=America/Los_Angeles:20240304T130000 DTSTAMP:20260615T231810 CREATED:20240109T214702Z LAST-MODIFIED:20240109T220014Z UID:26269-1709553600-1709557200@qcb.ucla.edu SUMMARY:Frontiers in Computational Biosciences Seminar Series: Katherine L. Nathanson\, MD\, Deputy Director Penn Cancer Center\, University of Pennsylvania DESCRIPTION:TITLE: “The evolving landscape of hereditary breast cancer” \nHosted by Paul Spellman for Genetics & Genomics and UCLA JCCC URL:https://qcb.ucla.edu/event/frontiers-in-computational-biosciences-seminar-series-katherine-l-nathanson-md-deputy-director-penn-cancer-center-university-of-pennsylvania/ LOCATION:Boyer 159\, 611 Charles E. Young Dr. E.\, Los Angeles\, CA\, 90095\, United States CATEGORIES:QCBio Seminar Series ATTACH;FMTTYPE=image/jpeg:https://wp-misc.lifesci.ucla.edu/qcb/wp-content/uploads/sites/14/2024/01/Seminar-Series-Poster-–-W2499-5.jpg END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20240227T090000 DTEND;TZID=America/Los_Angeles:20240229T120000 DTSTAMP:20260615T231810 CREATED:20191212T200255Z LAST-MODIFIED:20231221T202905Z UID:10844-1709024400-1709208000@qcb.ucla.edu SUMMARY:W8: Variant Calling with GATK DESCRIPTION:This workshop uses materials developed by the Broad Institute to teach Variant Discovery with GATK.  Attendees with no prior experience in variant calling are recommended to review all of the materials below before coming to the workshop. This early preparation will allow a focus on the specific issues of running GATK on the UCLA hoffman2 cluster rather than introducing the GATK variant calling pipeline. There will also be a focus on post variant discovery quality control steps as time allows. URL:https://qcb.ucla.edu/event/w8-variant-calling-with-gatk-2/ 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:20240226T120000 DTEND;TZID=America/Los_Angeles:20240226T130000 DTSTAMP:20260615T231810 CREATED:20240109T202256Z LAST-MODIFIED:20240109T202256Z UID:26256-1708948800-1708952400@qcb.ucla.edu SUMMARY:Frontiers in Computational Biosciences Seminar Series: Chongyi Chen\, PhD\, Stadtman Investigator\, NCI DESCRIPTION:TITLE: “Quantitative mapping of DNA supercoiling tension throughout the human genome” \nHosted by Yi Yin for Genetics & Genomics URL:https://qcb.ucla.edu/event/frontiers-in-computational-biosciences-seminar-series-chongyi-chen-phd-stadtman-investigator-nci/ LOCATION:Boyer 159 CATEGORIES:QCBio Seminar Series ATTACH;FMTTYPE=image/jpeg:https://wp-misc.lifesci.ucla.edu/qcb/wp-content/uploads/sites/14/2024/01/Seminar-Series-Poster-–-W2499-2.jpg END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20240212T120000 DTEND;TZID=America/Los_Angeles:20240212T130000 DTSTAMP:20260615T231810 CREATED:20240109T201544Z LAST-MODIFIED:20240109T220237Z UID:26248-1707739200-1707742800@qcb.ucla.edu SUMMARY:Frontiers in Computational Biosciences Seminar Series: Nancy Zhang\, PhD\, Ge Li and Ning Zhao Professor\, University of Pennsylvania DESCRIPTION:TITLE: “Signal recovery in single cell data integration” \nHosted Jingyi Jessica Li for Bioinformatics URL:https://qcb.ucla.edu/event/frontiers-in-computational-biosciences-seminar-series-nancy-zhang-phd-ge-li-and-ning-zhao-professor-university-of-pennsylvania/ LOCATION:Boyer 159\, 611 Charles E. Young Dr. E.\, Los Angeles\, CA\, 90095\, United States CATEGORIES:QCBio Seminar Series ATTACH;FMTTYPE=image/jpeg:https://wp-misc.lifesci.ucla.edu/qcb/wp-content/uploads/sites/14/2024/01/Seminar-Series-Poster-–-W2499.jpg END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20240205T120000 DTEND;TZID=America/Los_Angeles:20240205T130000 DTSTAMP:20260615T231810 CREATED:20240109T214410Z LAST-MODIFIED:20240109T214410Z UID:26265-1707134400-1707138000@qcb.ucla.edu SUMMARY:Frontiers in Computational Biosciences Seminar Series: Xuanyao Liu\, PhD\, Assistant Professor\, University of Chicago DESCRIPTION:TITLE: “Linking variants to function with powerful multivariate approaches” \nHosted by Brunilda Balliu for Bioinformatics URL:https://qcb.ucla.edu/event/frontiers-in-computational-biosciences-seminar-series-xuanyao-liu-phd-assistant-professor-university-of-chicago/ LOCATION:Boyer 159\, 611 Charles E. Young Dr. E.\, Los Angeles\, CA\, 90095\, United States CATEGORIES:QCBio Seminar Series ATTACH;FMTTYPE=image/jpeg:https://wp-misc.lifesci.ucla.edu/qcb/wp-content/uploads/sites/14/2024/01/Seminar-Series-Poster-–-W2499-4.jpg END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20240129T000000 DTEND;TZID=America/Los_Angeles:20240129T130000 DTSTAMP:20260615T231810 CREATED:20240109T214106Z LAST-MODIFIED:20240109T214106Z UID:26261-1706486400-1706533200@qcb.ucla.edu SUMMARY:Frontiers in Computational Biosciences Seminar Series: Heidi Rehm\, PhD\, Co-Director\, Population and Medical Genetics\, Broad Institute; Chief Genomics Officer\, Mass General Hospital; Professor of Pathology\, Harvard Medical School DESCRIPTION:TITLE: “Advancing Genomic Medicine through Global Collaboration” \nHosted by Sulagna Saitta for Genetics & Genomics URL:https://qcb.ucla.edu/event/frontiers-in-computational-biosciences-seminar-series-heidi-rehm-phd-co-director-population-and-medical-genetics-broad-institute-chief-genomics-officer-mass-general-hospital-professor-of-patho/ LOCATION:Boyer 159\, 611 Charles E. Young Dr. E.\, Los Angeles\, CA\, 90095\, United States CATEGORIES:QCBio Seminar Series ATTACH;FMTTYPE=image/jpeg:https://wp-misc.lifesci.ucla.edu/qcb/wp-content/uploads/sites/14/2024/01/Seminar-Series-Poster-–-W2499-3.jpg END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20240122T120000 DTEND;TZID=America/Los_Angeles:20240122T130000 DTSTAMP:20260615T231810 CREATED:20240109T201909Z LAST-MODIFIED:20240109T201909Z UID:26252-1705924800-1705928400@qcb.ucla.edu SUMMARY:Frontiers in Computational Biosciences Seminar Series: Katrina Claw\, PhD\, Assistant Professor\, University of Colorado – Anschutz Medical Campus DESCRIPTION:TITLE: “Pharmacogenomic variation in ancient humans and implications for human health” \nHosted by Jenny Papp for Genetics & Genomics URL:https://qcb.ucla.edu/event/frontiers-in-computational-biosciences-seminar-series-katrina-claw-phd-assistant-professor-university-of-colorado-anschutz-medical-campus/ LOCATION:Boyer 159\, 611 Charles E. Young Dr. E.\, Los Angeles\, CA\, 90095\, United States CATEGORIES:QCBio Seminar Series ATTACH;FMTTYPE=image/jpeg:https://wp-misc.lifesci.ucla.edu/qcb/wp-content/uploads/sites/14/2024/01/Seminar-Series-Poster-–-W2499-1.jpg END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20240108T120000 DTEND;TZID=America/Los_Angeles:20240108T130000 DTSTAMP:20260615T231810 CREATED:20231224T110456Z LAST-MODIFIED:20231224T111411Z UID:26229-1704715200-1704718800@qcb.ucla.edu SUMMARY:Frontiers in Computational Biosciences Seminar Series: William Speier\, PhD\, Associate Professor in the Department of Radiological Sciences DESCRIPTION:TITLE: “Multimodal deep learning models for thyroid cancer detection” \nHosted by William Hsu for Medical Informatics and UCLA JCCC. URL:https://qcb.ucla.edu/event/frontiers-in-computational-biosciences-seminar-series-monday-january-8-2024-william-speier-phd-associate-professor-in-the-department-of-radiological-sciences/ LOCATION:Boyer Hall 159 CATEGORIES:QCBio Seminar Series ATTACH;FMTTYPE=image/jpeg:https://wp-misc.lifesci.ucla.edu/qcb/wp-content/uploads/sites/14/2023/12/WILLIAM-SPEIER.jpg END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20231207T120000 DTEND;TZID=America/Los_Angeles:20231207T143000 DTSTAMP:20260615T231810 CREATED:20231120T165356Z LAST-MODIFIED:20231120T195105Z UID:26038-1701950400-1701959400@qcb.ucla.edu SUMMARY:Research-in-Progress (RIP) Seminar: MINI SYMPOSIUM - Emily Maciejewski (Ernst)\, Grad Student\, Computer Science - Chenlu Di (Lohmueller)\, Postdoc\, Ecology & Evolutionary Biology - Qingyang Wang (Li JJ)\, Grad Student\, Statistics - Alex Bermudez (Lin)\, Grad Student\, Bioengineering DESCRIPTION:12pm: Emily Maciejewski (Ernst)\, Grad Student\, Computer Science \nTITLE:  “Cross-species and tissue imputation of species-level DNA methylation samples” \nABSTRACT: DNA methylation data is highly informative to study a variety of aspects of mammalian biology. The availability of such data for many mammals at conserved sites was recently vastly enhanced by the development and large-scale application of the mammalian methylation array. For instance\, we consider here 13\,245 samples profiled on this array representing 348 species and 59 tissues from 746 species-tissue combinations. While having some coverage of many different species and tissue types\, this data only captures 3.6% of potential species-tissue combinations. We thus developed CMImpute (Cross-species Methylation Imputation) which uses a Conditional Variational Autoencoder to impute DNA methylation of non-profiled species-tissue combinations. In cross-validation\, we show that CMImpute yields high correlation with held-out observed values\, outperforming multiple baselines. We then train a model on all the data to impute 19\,786 new species-tissue combinations. We expect CMImpute and our imputed data resource will be useful for DNA methylation analyses across mammalian species. \n  \n12:30pm: Chenlu Di (Lohmueller)\, Postdoc\, Ecology & Evolutionary Biology \nTITLE: “Inference of fitness effects of mutations in noncoding regions of the human genome” \nABSTRACT: TBD \n  \n1:30pm: Qingyang Wang (Li JJ)\, Grad Student\, Statistics \nTITLE “Review of computational methods for estimating cell potency from single-cell RNA-seq data” \nABSTRACT: In single-cell RNA sequencing (scRNA-seq) data analysis\, a critical challenge is to infer hidden dynamic cellular processes from measured static cell snapshots. To tackle this challenge\, many computational methods have been developed from distinct perspectives. Besides the common perspectives of inferring trajectories (or pseudotime) and RNA velocity\, another important perspective is to estimate the differentiation potential of cells\, which is commonly referred to as “cell potency.” In this review\, we provide a comprehensive summary of 11 computational methods that estimate cell potency from scRNA-seq data under different assumptions\, some of which are even conceptually contradictory. We divide these methods into three categories: mean-based\, entropy-based\, and correlation-based methods\, depending on how a method summarizes gene expression levels of a cell or cell type into a potency measure. Our review focuses on the key similarities and differences of the methods within each category and between the categories\, providing a high-level intuition of each method. Moreover\, we use a unified set of mathematical notations to detail the 11 methods’ methodologies and summarize their usage complexities\, including the number of ad-hoc parameters\, the number of required inputs\, and the existence of discrepancies between the method description in publications and the method implementation in software packages. Realizing the conceptual contradictions of existing methods and the difficulty of fair benchmarking without single-cell-level ground truths\, we conclude that accurate estimation of cell potency from scRNA-seq data remains an open challenge. \n  \n2:00pm: Alex Bermudez (Lin)\, Grad Student\, Bioengineering \nTITLE: “TCell Morphology Impacts Chromatin States During Crowding” \nABSTRACT: Variability is an inherent characteristic of all biological systems\, exemplified by the diverse shapes\, sizes\, and gene expression profiles of cells comprising tissues. Despite its ubiquity\, our understanding of how such a phenotypic heterogeneity plays a role in regulating cell biology remains incomplete. In this talk\, I will discuss how cell shape heterogeneity arises and its impacts on chromatin organization of each cell during epithelial crowding\, a canonical process where cells proliferate until a densely packed monolayer forms. Our findings suggest that cell morphological heterogeneity is not mere noise\, but a crucial factor driving chromatin state and gene expression\, directing tissue development and remodeling. URL:https://qcb.ucla.edu/event/research-in-progress-rip-seminar-mini-symposium-emily-maciejewski-ernst-grad-student-computer-science-chenlu-di-lohmueller-postdoc-ecology-evolutionary-biology-qingyang-wang-l/ LOCATION:Boyer Hall 130 CATEGORIES:QCBio Seminar Series ATTACH;FMTTYPE=application/pdf:https://wp-misc.lifesci.ucla.edu/qcb/wp-content/uploads/sites/14/2023/11/Mini-Symposium-12723-1.pdf END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20231204T120000 DTEND;TZID=America/Los_Angeles:20231204T130000 DTSTAMP:20260615T231810 CREATED:20231017T092149Z LAST-MODIFIED:20231017T092236Z UID:25854-1701691200-1701694800@qcb.ucla.edu SUMMARY:Frontiers in Computational Biosciences Seminar Series: Monday\, December 4\, 2023 Graciela Gonzalez-Hernandez\, PhD\, Vice Chair of Research and Education\, Department of Computational Biomedicine\, Cedars-Sinai Medical Center DESCRIPTION:TITLE: “ChatGPT for Clinical Informatics: what can LLMs do now for Health AI?” \nHosted by William Hsu for Medical Informatics \n  URL:https://qcb.ucla.edu/event/frontiers-in-computational-biosciences-seminar-series-monday-december-4-2023-graciela-gonzalez-hernandez-phd-vice-chair-of-research-and-education-department-of-computational-biomedicine-cedars/ LOCATION:Boyer 159\, 611 Charles E. Young Dr. E.\, Los Angeles\, CA\, 90095\, United States CATEGORIES:QCBio Seminar Series ATTACH;FMTTYPE=image/png:https://wp-misc.lifesci.ucla.edu/qcb/wp-content/uploads/sites/14/2023/10/Picture6.png END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20231201T133000 DTEND;TZID=America/Los_Angeles:20231201T140000 DTSTAMP:20260615T231810 CREATED:20231018T093230Z LAST-MODIFIED:20231201T221917Z UID:25893-1701437400-1701439200@qcb.ucla.edu SUMMARY:Research-in-Progress (RIP) Seminar: Samir Akre (Bui)\, Graduate Student in Medical Informatics DESCRIPTION:TITLE: “Detection of Symptoms of Depression Using Data From the iPhone and Apple Watch.” \nABSTRACT: Digital health data from consumer wearable devices and smartphones have the potential to improve our understanding of mental illness. However\, in conditions like depression\, there is not yet a consistent uniform measurement tool whose result can be reliably used as a gold standard measure of depression severity. This work seeks to specify what symptoms and dimensions of depression can be detected using vitals\, activity\, and sleep monitored by consumer wearable devices. Machine learning models are fit to digital health data and used to detect responses to individual questions from self-reports as well as summary scores. Data is analyzed from an ongoing study with data from the Apple Watch\, iPhone\, and validated self-reports. The digital health data investigated was found to detect depression severity and specific symptoms like poor appetite\, aspects of anhedonia\, and sleep timings (ROC AUC 0.63 to 0.72). \n\nhttps://qcb.ucla.edu/wp-content/uploads/sites/14/2023/10/Samir-Akre.mp4 URL:https://qcb.ucla.edu/event/research-in-progress-rip-seminar-samir-akre-bui-graduate-student-in-medical-informatics/ LOCATION:ZOOM\, CA\, United States CATEGORIES:QCBio Seminar Series ATTACH;FMTTYPE=image/jpeg:https://wp-misc.lifesci.ucla.edu/qcb/wp-content/uploads/sites/14/2023/10/Akre-Samir-AMIA2022_crop.jpg END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20231201T130000 DTEND;TZID=America/Los_Angeles:20231201T133000 DTSTAMP:20260615T231810 CREATED:20231030T181641Z LAST-MODIFIED:20231201T222154Z UID:25976-1701435600-1701437400@qcb.ucla.edu SUMMARY:Research-in-Progress (RIP) Seminar: Kaija Gahm (Pinter-Wollman)\, Graduate Student in Ecology & Evolutionary Biology DESCRIPTION:TITLE: “An updated movement path randomization method to distinguish social and spatial drivers of animal interactions.” \nABSTRACT: Studying the spatial-social interface requires tools that distinguish between social and spatial drivers of interactions. Testing hypotheses regarding the factors determining animal interactions often involves comparing observed interactions with reference or ’null’ models. One approach to constructing reference models that account for spatial drivers of social interactions is randomizing animal movement paths to decouple their spatial and social phenotypes while maintaining environmental effects on movements. Here we propose a new randomization approach. Using agent-based simulations\, we explore the utility of the new approach for different types of animal movements and compare its performance to existing approaches. We show that our method provides reference models that are more similar to the original tracking data\, while still distinguishing between social and spatial drivers. Furthermore\, the new approach results in fewer false-positives than other approaches\, especially when animals do not return to the same place each night but change movement foci\, either locally or directionally. Finally\, we show that interactions among GPStracked griffon vultures (Gyps fulvus) emerge from social attraction rather than from their movement patterns alone. We conclude by highlighting the biological situations in which the new method might be most suitable for testing hypotheses about the underlying causes of social interactions. \nhttps://qcb.ucla.edu/wp-content/uploads/sites/14/2023/10/Kaija-Gahm.mp4 URL:https://qcb.ucla.edu/event/research-in-progress-rip-seminar-kaija-gahm-pinter-wollman-graduate-student-in-ecology-evolutionary-biology/ LOCATION:ZOOM\, CA\, United States CATEGORIES:QCBio Seminar Series ATTACH;FMTTYPE=image/jpeg:https://wp-misc.lifesci.ucla.edu/qcb/wp-content/uploads/sites/14/2023/10/Kaija_Headshot_Final-3.jpg END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20231129T133000 DTEND;TZID=America/Los_Angeles:20231129T140000 DTSTAMP:20260615T231810 CREATED:20231116T191717Z LAST-MODIFIED:20231130T154218Z UID:26027-1701264600-1701266400@qcb.ucla.edu SUMMARY:Research-in-Progress (RIP) Seminar: Christy Lee (Li JJ)\, Graduate Student in Statistics and Data Science DESCRIPTION:TITLE: “scDEED: a statistical method for detecting dubious 2D single-cell embeddings and optimizing t-SNE and UMAP hyperparameters.” \nABSTRACT: Two-dimensional (2D) embedding methods are crucial for single-cell data visualization. Popular methods such as t-distributed stochastic neighbor embedding(t-SNE) and uniform manifold approximation and projection (UMAP) are commonly used for visualizing cell clusters; however\, it is well known that t-SNE and UMAP’s 2D embedding might not reliably inform the similarities among cell clusters. Motivated by this challenge\, we present a statistical method\, scDEED\, for detecting dubious cell embeddings output by any 2D-embedding method. By calculating a reliability score for every cell embedding\, scDEED identifies the cell embeddings with low reliability scores as dubious and those with high reliability scores as trustworthy. Moreover\, by minimizing the number of dubious cell embeddings\, scDEED provides intuitive guidance for optimizing the hyperparameters of an embedding method.\nhttps://qcb.ucla.edu/wp-content/uploads/sites/14/2023/11/Christy-Lee.mp4 URL:https://qcb.ucla.edu/event/research-in-progress-rip-seminar-christy-lee-li-jj-graduate-student-in-statistics-and-data-science/ LOCATION:ZOOM\, CA\, United States CATEGORIES:QCBio Seminar Series ATTACH;FMTTYPE=image/png:https://wp-misc.lifesci.ucla.edu/qcb/wp-content/uploads/sites/14/2023/11/Christy_Lee_profile.png END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20231129T130000 DTEND;TZID=America/Los_Angeles:20231129T133000 DTSTAMP:20260615T231810 CREATED:20231113T160845Z LAST-MODIFIED:20231130T153643Z UID:26015-1701262800-1701264600@qcb.ucla.edu SUMMARY:Research-in-Progress (RIP) Seminar: Matthew Soldano (Pellegrini)\, Staff Research Associate\, Institute for Genomics and Proteomics at DGSOM DESCRIPTION:TITLE: “A Non-Invasive Epigenetic Measure of Inflammation.” \nABSTRACT: Existing epigenetic phenotype tests often lack mechanistic explanations of the observed correlations between specific methylation sites and phenotypes. This raises the crucial question: are these correlations primarily a result of marginal correlations\, or do they stem from plausible biological mechanisms? To delve deeper into this question\, we conducted a Targeted Epigenome Association Study focusing on CpG sites associated with aging\, metabolism\, and obesity. Our study leveraged a clinical investigation on fitness\, encompassing comprehensive measurements of phenotypes\, traditional biomarkers linked to metabolism\, obesity\, and fitness\, as well as extensive profiling of hundreds of metabolites and proteins. Additionally\, we had access to buccal swabs for targeted bisulfite sequencing. Our analysis discovered eight CpG sites exhibiting robust associations with the complement system\, alongside indicators of adiposity and epithelial cell ratio found in the buccal swab samples. These sites reside within the region of the peptidoglycan recognition 1 gene promoter\, a protein that senses inflammatory processes. This discovery sheds light on the intricate interplay between epigenetic markers with oral and systemic inflammation pathways.\nhttps://qcb.ucla.edu/wp-content/uploads/sites/14/2023/11/Matthew-Soldano.mp4 URL:https://qcb.ucla.edu/event/research-in-progress-rip-seminar-matthew-soldano-pellegrini-graduate-student-institute-for-genomics-and-proteomics-at-dgsom/ LOCATION:ZOOM\, CA\, United States CATEGORIES:QCBio Seminar Series ATTACH;FMTTYPE=image/jpeg:https://wp-misc.lifesci.ucla.edu/qcb/wp-content/uploads/sites/14/2023/11/Matthew-Soldano.jpeg END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20231127T120000 DTEND;TZID=America/Los_Angeles:20231127T130000 DTSTAMP:20260615T231810 CREATED:20231017T091350Z LAST-MODIFIED:20231017T091350Z UID:25845-1701086400-1701090000@qcb.ucla.edu SUMMARY:Frontiers in Computational Biosciences Seminar Series: Qunhua Li\, PhD\, Associate Professor\, Department of Statistics\, The Pennsylvania State University DESCRIPTION:TITLE: “TBD” \nHosted by Jingyi Jessica Li for Bioinformatics URL:https://qcb.ucla.edu/event/frontiers-in-computational-biosciences-seminar-series-qunhua-li-phd-associate-professor-department-of-statistics-the-pennsylvania-state-university/ LOCATION:Boyer 159\, 611 Charles E. Young Dr. E.\, Los Angeles\, CA\, 90095\, United States CATEGORIES:QCBio Seminar Series ATTACH;FMTTYPE=image/png:https://wp-misc.lifesci.ucla.edu/qcb/wp-content/uploads/sites/14/2023/10/Picture5.png END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20231117T133000 DTEND;TZID=America/Los_Angeles:20231117T140000 DTSTAMP:20260615T231810 CREATED:20231107T155230Z LAST-MODIFIED:20231118T002605Z UID:25997-1700227800-1700229600@qcb.ucla.edu SUMMARY:Research-in-Progress (RIP) Seminar: Michael Cheng (Yang)\, Graduate Student in Bioinformatics DESCRIPTION:TITLE: “scGRNdb: A Cell Type Gene Regulatory Network Atlas for Human and Mouse.” \nABSTRACT: Gene regulatory networks (GRNs) elucidate the complex regulatory landscape in cells and tissues\, making them powerful tools for understanding mechanisms in disease pathophysiology and identifying therapeutic targets. The advent of single cell RNA-sequencing (scRNAseq) enables a more granular study of disease mechanisms using cell type-specific GRNs\, but most existing GRN methods are not optimized for scRNAseq and robust network resources are scarce. We recently developed SCING\, which improves GRN performance on scRNAseq and spatial transcriptomics data compared to existing methods. Here we present scGRNdb: a GRN atlas of 1\,000+ SCING GRNs for cell types across 12 human and mouse single cell data atlases. Functional annotation of these networks revealed subnetworks that recapitulate known cell type specific pathways and gene mechanisms for neurological and cardiovascular diseases. Furthermore\, we will host scGRNdb and GRN analysis tools on a public web server to facilitate single cell research and biomedical discovery. \nhttps://qcb.ucla.edu/wp-content/uploads/sites/14/2023/11/Michael-Cheng-111723.mp4 URL:https://qcb.ucla.edu/event/research-in-progress-rip-seminar-michael-cheng-yang-graduate-student-in-bioinformatics/ LOCATION:ZOOM\, CA\, United States CATEGORIES:QCBio Seminar Series ATTACH;FMTTYPE=image/jpeg:https://wp-misc.lifesci.ucla.edu/qcb/wp-content/uploads/sites/14/2023/11/michaelcheng_headshot.jpeg END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20231117T130000 DTEND;TZID=America/Los_Angeles:20231117T133000 DTSTAMP:20260615T231810 CREATED:20231026T193016Z LAST-MODIFIED:20231026T193016Z UID:25962-1700226000-1700227800@qcb.ucla.edu SUMMARY:Research-in-Progress (RIP) Seminar: Mao Tian (Boutros)\, Junior Bioinformatician in JCCC Cancer Data Science DESCRIPTION:TITLE: “Characterization of Genomics Landscape and Natural History of Anaplastic Thyroid Cancer using High Depth WGS and Subclonal Reconstruction.” \nABSTRACT: Anaplastic thyroid cancer (ATC) is among the most lethal cancer types\, with a median survival rate of approximately 12 weeks. ATC is resistant to both chemo- and radiotherapy\, a characteristic attributed to its surrounding tissues and rapid progression. Although ATC is less common than other thyroid cancers\, such as papillary thyroid carcinoma (PTC) and differentiated thyroid carcinoma (DTC)\, it frequently co-occurs with both PTC and DTC. In this study\, we assembled a 108-sample cohort consisting of 46 ATC patients and 5 thyroid cancer cell lines. We conducted high-depth (x90) whole genome sequencing on ATC samples\, as well as on adjacent PTC or DTC tissues\, and included blood controls when available. Our analysis identified both germline and somatic variants in ATC\, revealing a moderate mutation burden compared to C-type tumors and a higher incidence of recurrent SNVs and CNVs than in PTC or DTC. Notably\, ATC samples exhibited more active mutational signatures\, such as SBS2 and SBS13\, than DTC or PTC samples. Additionally\, we employed subclonal reconstruction to model the natural history of ATC in relation to cooccurring DTC and PTC. URL:https://qcb.ucla.edu/event/research-in-progress-rip-seminar-mao-tian-boutros-junior-bioinformatician-in-jccc-cancer-data-science/ LOCATION:ZOOM\, CA\, United States CATEGORIES:QCBio Seminar Series ATTACH;FMTTYPE=image/jpeg:https://wp-misc.lifesci.ucla.edu/qcb/wp-content/uploads/sites/14/2023/10/MaoTian_Headshot_2019.jpg END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20231113T120000 DTEND;TZID=America/Los_Angeles:20231113T130000 DTSTAMP:20260615T231810 CREATED:20231017T091008Z LAST-MODIFIED:20231017T091500Z UID:25841-1699876800-1699880400@qcb.ucla.edu SUMMARY:Frontiers in Computational Biosciences Seminar Series: Haiyuan Yu\, PhD\, Tisch University Professor\, Deparment of Computational Biology\, Cornell University DESCRIPTION:TITLE: “TBD” \nHosted by Grace Xiao for Bioinformatics URL:https://qcb.ucla.edu/event/frontiers-in-computational-biosciences-seminar-series-haiyuan-yu-phd-tisch-university-professor-deparment-of-computational-biology-cornell-university/ LOCATION:Boyer 159\, 611 Charles E. Young Dr. E.\, Los Angeles\, CA\, 90095\, United States CATEGORIES:QCBio Seminar Series ATTACH;FMTTYPE=image/png:https://wp-misc.lifesci.ucla.edu/qcb/wp-content/uploads/sites/14/2023/10/Picture4.png END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20231108T160000 DTEND;TZID=America/Los_Angeles:20231108T170000 DTSTAMP:20260615T231810 CREATED:20231024T101808Z LAST-MODIFIED:20231024T101808Z UID:25927-1699459200-1699462800@qcb.ucla.edu SUMMARY:Special Seminar: Sara Monaco\, Managing Editor\, European Molecular Biology Organization (EMBO) DESCRIPTION:TITLE: “The new culture of preprint peer-review” URL:https://qcb.ucla.edu/event/special-seminar-sara-monaco-managing-editor-european-molecular-biology-organization-embo/ LOCATION:Boyer Hall 130 CATEGORIES:QCBio Seminar Series ATTACH;FMTTYPE=image/jpeg:https://wp-misc.lifesci.ucla.edu/qcb/wp-content/uploads/sites/14/2023/10/Sara-Monico.jpg END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20231108T133000 DTEND;TZID=America/Los_Angeles:20231108T140000 DTSTAMP:20260615T231810 CREATED:20231018T092214Z LAST-MODIFIED:20231102T152047Z UID:25889-1699450200-1699452000@qcb.ucla.edu SUMMARY:Research-in-Progress (RIP) Seminar: Xiaolu Guo (Hoffmann)\, Postdoc in Microbiology\, Immunology & Molecular Genetics DESCRIPTION:TITLE: “Modeling the heterogenous NFκB dynamics of single immune cells.” \nABSTRACT: Macrophages function as immune sentinel cells\, initiating appropriate and specialized immune responses to a great variety of pathogens.  The transcription factor NFκB controls macrophage gene expression responses\, and its temporal dynamics enable stimulus-specificity of these responses.  Using a fluorescent reporter mouse our laboratory recently generated large amounts of single-cell NFκB dynamic data and identified dynamic features\, termed ‘signaling codons’\, that convey information to the nucleus about stimulus identity and dose.  Here\, we aimed to recapitulate the stimulus-specific but highly cell-to-cell heterogeneous NFκB dynamics with a mathematical model of the signaling network.  The parameters that are subject to biological variation provide the potential to account for the heterogeneity in observed stimulus responses.  We estimated parameter distributions using the Stochastic Approximation Expectation Maximization (SAEM) approach and then fit the individual cell data using Bayesian maximum a posteriori (MAP) estimation.  Visual inspection revealed an excellent fit with the data.  To quantitatively evaluate the fitting performance\, we compared the experimental and predicted distributions of NFκB signaling codons.  Further\, we identified biochemical reactions that may account for the cellular heterogeneity in NFκB dynamics.  We verified that the stimulus-specificity of the virtual macrophage NFκB responses was consistent with their live-cell counterparts\, as assessed by mutual information and machine learning classification. Additionally\, the mathematical model allowed us extend experimental dose response studies\, revealing the doses that maximize information. Furthermore\, the virtual NFκB macrophages enabled the exploration of individual cell responses to different ligands. Leveraging this capability\, we made predictions regarding combinatorial ligands\, that were then experimentally tested. Discrepancies between the experimental results and model predictions led to the identification of a competition mechanism between CpG and PolyIC for endosome trafficking\, resulting in non-integrative responses behavior. Our results establish a mathematical modeling tool that may be used to study the molecular determinants of response specificity and dynamical coding in immune sentinel cells at the single cell level. URL:https://qcb.ucla.edu/event/research-in-progress-rip-seminar-xiaolu-guo-hoffmann-postdoc-in-microbiology-immunology-molecular-genetics/ LOCATION:ZOOM\, CA\, United States CATEGORIES:QCBio Seminar Series ATTACH;FMTTYPE=image/png:https://wp-misc.lifesci.ucla.edu/qcb/wp-content/uploads/sites/14/2023/10/Xiaolu.png END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20231108T130000 DTEND;TZID=America/Los_Angeles:20231108T133000 DTSTAMP:20260615T231810 CREATED:20231102T151931Z LAST-MODIFIED:20231108T223740Z UID:25982-1699448400-1699450200@qcb.ucla.edu SUMMARY:Research-in-Progress (RIP) Seminar: Jonatan Hervoso (Xiao)\, Graduate Student in Bioinformatics DESCRIPTION:TITLE: “Splicing-specific transcriptome-wide association uncovers novel genetic mechanisms for Schizophrenia.” \nABSTRACT: Recent studies have highlighted the essential role of RNA splicing\, a key mechanism of alternative RNA processing\, in establishing connections between genetic variations and disease. Genetic loci influencing RNA splicing variations show considerable influence on complex traits\, possibly surpassing those affecting total gene expression. Dysregulated RNA splicing has emerged as a major potential contributor to neurological and psychiatric disorders\, likely due to the exceptionally high prevalence of alternatively spliced genes in the human brain. Nevertheless\, establishing direct associations between genetically altered splicing and complex traits has remained an enduring challenge. We introduce Spliced-Transcriptome-Wide Associations (SpliTWAS) to integrate alternative splicing information with GWAS to pinpoint genes linked to traits through exon splicing events. We applied SpliTWAS to two schizophrenia (SCZ) RNA-seq datasets\, BrainGVEX and CommonMind (CMC)\, revealing 137 and 88 trait-associated exons (in 84 and 67 genes)\, respectively.  Enriched biological functions in the associated gene sets converged on neuronal function and development\, immune cell activation\, cellular transport\, which are highly relevant to SCZ. SpliTWAS variants impacted RNA-binding protein (RBP) binding sites\, revealing potential disruption of RNA-protein interactions affecting splicing. We extended the probabilistic fine-mapping method FOCUS to the exon level\, identifying putative causal 36 genes and 48 exons for SCZ. We highlight VPS45 and APOPT1\, where splicing of specific exons was associated with disease risk\, eluding detection by conventional gene expression analysis. Collectively\, this study supports the substantial role of alternative splicing in shaping the genetic basis of SCZ\, providing a valuable approach for future investigations in this area. \nhttps://qcb.ucla.edu/wp-content/uploads/sites/14/2023/11/Jonatan-Hervoso.mp4 URL:https://qcb.ucla.edu/event/research-in-progress-rip-seminar-jonatan-hervoso-xiao-graduate-student-in-bioinformatics/ LOCATION:ZOOM\, CA\, United States CATEGORIES:QCBio Seminar Series ATTACH;FMTTYPE=image/png:https://wp-misc.lifesci.ucla.edu/qcb/wp-content/uploads/sites/14/2023/11/Hervoso.png END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20231106T120000 DTEND;TZID=America/Los_Angeles:20231106T130000 DTSTAMP:20260615T231810 CREATED:20231017T090714Z LAST-MODIFIED:20231017T091610Z UID:25837-1699272000-1699275600@qcb.ucla.edu SUMMARY:Frontiers in Computational Biosciences Seminar Series: Monica Munoz-Torres\, PhD\, Associate Professor\, Department of Biomedical Informatics\, University of Arizona DESCRIPTION:TITLE: “TBD” \nHosted by William Hsu for Medical Informatics URL:https://qcb.ucla.edu/event/frontiers-in-computational-biosciences-seminar-series-monica-munoz-torres-phd-associate-professor-department-of-biomedical-informatics-university-of-arizona/ LOCATION:Boyer 159\, 611 Charles E. Young Dr. E.\, Los Angeles\, CA\, 90095\, United States CATEGORIES:QCBio Seminar Series ATTACH;FMTTYPE=image/png:https://wp-misc.lifesci.ucla.edu/qcb/wp-content/uploads/sites/14/2023/10/Picture3.png END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20231103T133000 DTEND;TZID=America/Los_Angeles:20231103T140000 DTSTAMP:20260615T231810 CREATED:20231027T181948Z LAST-MODIFIED:20231103T210314Z UID:25967-1699018200-1699020000@qcb.ucla.edu SUMMARY:Research-in-Progress (RIP) Seminar: Alexis Weber (de la Torre-Ubieta and Geschwind)\, Graduate Student in Human Genetics DESCRIPTION:TITLE: “Defining molecular dysregulation in Down Syndrome neocortex and neural progenitor cells.” \nABSTRACT: Down syndrome (DS) is the most common form of genetic\, intellectual disability\, which occurs 1 in 700 newborns and presents in patients as cognitive deficits\, particularly diminished in learning\, memory\, and language development.1\,2\,3 DS symptoms result from impaired cortical development\, which is demonstrated\, in contrast to neurotypical (NTD) brains\, by postnatally reduced whole brain weight\, volume and surface area\, lower numbers of progenitors\, excitatory neurons and oligodendrocytes\, increased numbers of astrocytes\, interneurons and microglia\, and altered neuronal morphology\, maturation\, and migration.3–10 These DS neuropathologies result through some means from the triplication of human chromosome 21 (hsa21) or trisomy 21 (T21). However\, the way in which T21 confers DS pathology and inhibits cortical development remains unclear. I hypothesize that increased hsa21 gene dosage alters global gene expression in neural progenitors\, changing neural cell fate specification and differentiation. By single nuclei Multiome sequencing\, T21 neocortices demonstrate a disproportionate increase in progenitors\, interneurons and oligodendrocyte precursor cells and decrease in excitatory neurons\, contrast to neurotypical (NT) donors. Furthermore\, T21 neocortices show cell-specific differential expression of critical neurodevelopmental genes and transcription factors. These data support potential\, cell-specific mechanisms of gene dysregulation during T21 neurodevelopment. \nhttps://qcb.ucla.edu/wp-content/uploads/sites/14/2023/10/Alexis-Weber.mp4 URL:https://qcb.ucla.edu/event/research-in-progress-rip-seminar-alexis-weber-de-la-torre-ubieta-and-geschwind-graduate-student-in-human-genetics/ LOCATION:ZOOM\, CA\, United States CATEGORIES:QCBio Seminar Series ATTACH;FMTTYPE=image/png:https://wp-misc.lifesci.ucla.edu/qcb/wp-content/uploads/sites/14/2023/10/Alexis-Weber.png END:VEVENT END:VCALENDAR