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X-WR-CALNAME:Institute for Quantitative and Computational Biosciences
X-ORIGINAL-URL:https://qcb.ucla.edu
X-WR-CALDESC:Events for Institute for Quantitative and Computational Biosciences
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20210120T110000
DTEND;TZID=America/Los_Angeles:20210120T120000
DTSTAMP:20260518T165706
CREATED:20210114T191248Z
LAST-MODIFIED:20210114T194013Z
UID:15883-1611140400-1611144000@qcb.ucla.edu
SUMMARY:Developmental Systems Biology Faculty Search - MCDB | QCBio | BSCRC Seminar: Yogesh Goyal\, PhD\, University of Pennsylvania\, Philadelphia\, PA
DESCRIPTION:TITLE: “Cellular plasticity and fate choices in developing tissues and single cancer cells” \nABSTRACT: While cellular processes are often reproducible and precise\, cells may also alter their molecular states and adopt new fates in response to stimuli\, a phenomena referred to as “plasticity”. I am interested in understanding the control principles governing cellular plasticity and fate decisions in response to mutational and pharmacologic stresses in tissue development and cancer. I will first describe my work on quantitative approaches to monitor and control developmental signaling during fly embryogenesis. My findings reveal the complex and counterintuitive effects of pathogenic germline mutations in the highly conserved Ras signaling pathway on spatiotemporal patterning and morphogenesis. This work has implications for a large class of developmental abnormalities and our understanding of their origins and potential treatments. The second part of my talk is motivated by recent studies revealing how rare and transient non-genetic fluctuations in individual cancer cells enable them to survive pharmacologic stress\, such as molecularly targeted therapies. Unlike the binary nature of Darwinian selection whereby mutations are either present or not\, non-genetic fluctuations can exist on one\, or even multiple continuums of variation. How this non-genetic variability maps to the eventual resistant fates upon drug exposure is an emerging paradigm of cellular plasticity. Integrating novel theoretical and experimental frameworks\, I will present my findings on 1. Identifying the origins and nature of the unique transcriptional molecular states underlying this plasticity; and 2. Connecting these molecular states to their eventual drug-resistant fates by tracking thousands of uniquely barcoded cell lineages. Moving forward\, my group will adapt these quantitative approaches and concepts to measure\, model\, and engineer plasticity and its roles in tissue development and disease. 
URL:https://qcb.ucla.edu/event/developmental-systems-biology-faculty-search-mcdb-qcbio-bscrc-seminar-yogesh-goyal-p-h-d-university-of-pennsylvania-philadelphia-pa/
LOCATION:ZOOM\, CA\, United States
CATEGORIES:Research Seminars
ATTACH;FMTTYPE=image/jpeg:https://wp-misc.lifesci.ucla.edu/qcb/wp-content/uploads/sites/14/2021/01/Seminar-flyer-Yogesh-Goyal2.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20210121T100000
DTEND;TZID=America/Los_Angeles:20210121T110000
DTSTAMP:20260518T165706
CREATED:20210114T190607Z
LAST-MODIFIED:20210114T190810Z
UID:15875-1611223200-1611226800@qcb.ucla.edu
SUMMARY:Developmental Systems Biology Faculty Search - MCDB | QCBio | BSCRC Seminar: Michael F. Wells\, PhD\, Broad Institute & Harvard University\, Cambridge\, MA
DESCRIPTION:TITLE: “Exploration of human genetic and phenotypic diversity through cell villages” \nABSTRACT: Our species is characterized by an immense diversity in neurological and psychological traits. Common and rare genetic variants have been linked to trait differences and disease risk in human populations\, though the underlying biology is poorly understood and difficult to study at large scales. In this presentation\, I will first describe a novel experimental platform that enables high-throughput investigations into the influence of human genetic variation on the earliest stages of brain development. This system\, known as a “cell village” captures genetic\, molecular\, and phenotypic heterogeneity in a shared in vitro environment\, thus facilitating the detection of relationships among human alleles\, gene expression\, and cellular behaviors. I will then describe how I used cell villages to identify a single nucleotide polymorphism in the IFITM3 gene that could explain over half of the variance in neural progenitor cell susceptibility to the Zika virus\, which is a pathogen that causes severe neurodevelopmental disorders. I will conclude with a brief discussion on the future of the village approach and how I plan to deploy this technology to investigate the role of progenitor cell competition in neurodevelopment and disease. 
URL:https://qcb.ucla.edu/event/developmental-systems-biology-faculty-search-mcdb-qcbio-bscrc-seminar-speaker-michael-f-wells-phd/
LOCATION:ZOOM\, CA\, United States
CATEGORIES:Research Seminars
ATTACH;FMTTYPE=image/jpeg:https://wp-misc.lifesci.ucla.edu/qcb/wp-content/uploads/sites/14/2021/01/Seminar-flyer-Michael-Wells1.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20210121T130000
DTEND;TZID=America/Los_Angeles:20210121T140000
DTSTAMP:20260518T165706
CREATED:20210114T193736Z
LAST-MODIFIED:20210114T193736Z
UID:15913-1611234000-1611237600@qcb.ucla.edu
SUMMARY:Developmental Systems Biology Faculty Search - MCDB | QCBio | BSCRC Seminar: Amjad Askary\, PhD\, California Institute of Technology\, Pasadena\, CA
DESCRIPTION:TITLE: “Imaging-based genetic recording of developmental histories” \nABSTRACT: Systems-level understanding of cell fate decisions has been hampered by limitations of the existing methods to capture developmental history of the cells. Synthetic recording\, which uses genome editing to create sequence diversity in genetic barcodes\, is emerging as a promising approach for mapping cell lineage and molecular history. However\, readout of the information stored in the barcodes by sequencing leads to loss of crucial information about the spatial context of the cells and their organization in the tissue. We have developed a system for scalable in situ readout of DNA barcodes and single nucleotide modifications in cells and tissue sections. Together with multiplexed in situ transcriptional profiling and CRISPR base editing\, this method enables us to trace lineage of many cells in each individual embryo\, reconstruct lineage trees\, and even connect the gene expression and signaling history of the progenitors to their eventual fates. In this talk\, I present our approach to imaging-based barcoding and discuss how this technology can be used to investigate elusive aspects of cell fate specification in the mammalian retina.  \n 
URL:https://qcb.ucla.edu/event/developmental-systems-biology-faculty-search-mcdb-qcbio-bscrc-seminar-amjad-askary-phd-california-institute-of-technology-pasadena-ca/
LOCATION:ZOOM\, CA\, United States
CATEGORIES:Research Seminars
ATTACH;FMTTYPE=image/jpeg:https://wp-misc.lifesci.ucla.edu/qcb/wp-content/uploads/sites/14/2021/01/Seminar-flyer-Amjad-Askary-1.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20210122T110000
DTEND;TZID=America/Los_Angeles:20210122T113000
DTSTAMP:20260518T165706
CREATED:20210112T232941Z
LAST-MODIFIED:20210114T014126Z
UID:15806-1611313200-1611315000@qcb.ucla.edu
SUMMARY:QCBio Research Seminar: Tevfik Umut Dincer (Ernst)
DESCRIPTION:TITLE: “Genomewide supervised prediction of activating and repressive regions in over hundred cell and tissue types” \nABSTRACT: While the vast majority of variants associated with common disease risk are distributed across the non-coding genome\, our understanding of the regulatory elements contained within remains notably incomplete. Strategies for identifying and characterizing these regulatory elements\, such as high-throughput reporter assays and CRISPR-dCas9 screens\, have been essential in decoding this complex regulatory landscape\, but they only provide information on the particular regions they cover and are currently available only in a limited number of cell types. By leveraging data from these functional assays and epigenetic features (such as histone modifications and chromatin accessibility)\, we built a supervised model to estimate the activating and repressive potential of any particular segment of the genome for over hundred cell and tissue types. We evaluate how our model learns regulatory activity from different datasets and investigate strategies for generalizing regulatory activity predictions to multiple cell types.
URL:https://qcb.ucla.edu/event/qcbio-research-seminar-tevfik-dincer-ernst/
LOCATION:ZOOM\, CA\, United States
CATEGORIES:Research Seminars
ATTACH;FMTTYPE=image/jpeg:https://wp-misc.lifesci.ucla.edu/qcb/wp-content/uploads/sites/14/2021/01/tevfik_dincer_photo_800.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20210122T113000
DTEND;TZID=America/Los_Angeles:20210122T120000
DTSTAMP:20260518T165706
CREATED:20210104T174455Z
LAST-MODIFIED:20210104T174725Z
UID:15463-1611315000-1611316800@qcb.ucla.edu
SUMMARY:QCBio Research Seminar: Iris Dror (Plath)
DESCRIPTION:TITLE: “XIST controls X chromosome dampening and autosomal genes in early human development” \nABSTRACT: \nFemale human pre-implantation embryos and naïve human pluripotent stem cells (hPSCs) equalize X-linked gene expression with males via X-chromosome dampening (XCD)\, a unique strategy of dosage compensation in mammals. The mechanisms controlling XCD are unknown. Here\, we show that the long non-coding RNA XIST\, which mediates X-chromosome inactivation (XCI)\, is required for XCD. XIST employs similar principles and protein partners\, including SPEN\, to execute XCD and XCI\, but displays a lower accumulation and different distribution on the dampened versus the inactive X. Unexpectedly\, XIST also spreads to specific autosomal regions and induces the downregulation of autosomal developmental genes in female naïve hPSCs and pre-implantation embryos. Thus\, XIST balances X-linked gene expression but causes imbalances in autosomal gene expression between male and female cells in early human development. Together\, our results show that the XIST-SPEN-axis can induce distinct gene expression outputs on the X-chromosome and transiently regulate autosomal genes in humans.
URL:https://qcb.ucla.edu/event/qcbio-research-seminar-iris-dror-plath/
LOCATION:ZOOM\, CA\, United States
CATEGORIES:Research Seminars
ATTACH;FMTTYPE=image/jpeg:https://wp-misc.lifesci.ucla.edu/qcb/wp-content/uploads/sites/14/2021/01/Iris-Dror.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20210129T110000
DTEND;TZID=America/Los_Angeles:20210129T113000
DTSTAMP:20260518T165706
CREATED:20210106T171106Z
LAST-MODIFIED:20210121T021246Z
UID:15669-1611918000-1611919800@qcb.ucla.edu
SUMMARY:QCBio Research Seminar: Ariel Wu (Sankararaman)
DESCRIPTION:TITLE: “Fast estimation of genetic correlation for Biobank-scale data” \nABSTRACT: Genetic correlation is an important parameter in understanding the shared genetic basis across pairs of complex traits with applications ranging across disease subtyping\, genetic prediction\, and causal inference. The availability of genome-wide genetic data has led to a number of methods that aim to estimate genetic correlation. Methods that analyze individual genotype data (typically using a bi-variate linear mixed model) are computationally expensive to be applied to large-scale datasets such as the UK Biobank. In contrast\, methods that use GWAS summary statistics\, such as LD-score regression (LDSC) and high-definition likelihood (HDL)\, are computationally efficient but tend to have large standard errors. Thus\, it is critical to develop methods that can accurately estimate genetic correlation from large individual-level datasets. \nIn this talk\, I will present on SCORE (SCalable genetic CORrelation Estimator)\, a randomized algorithm to estimate the genetic correlation of traits using individual-level genotypes that can scale to UK Biobank-size datasets.
URL:https://qcb.ucla.edu/event/qcbio-research-seminar-ariel-wu-sankararaman/
LOCATION:ZOOM\, CA\, United States
CATEGORIES:Research Seminars
ATTACH;FMTTYPE=image/png:https://wp-misc.lifesci.ucla.edu/qcb/wp-content/uploads/sites/14/2021/01/Ariel-Wu.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20210129T113000
DTEND;TZID=America/Los_Angeles:20210129T120000
DTSTAMP:20260518T165706
CREATED:20210106T170706Z
LAST-MODIFIED:20210130T013942Z
UID:15666-1611919800-1611921600@qcb.ucla.edu
SUMMARY:QCBio Research Seminar: Diane Lefaudeux (Hoffmann)
DESCRIPTION:TITLE: “Determining mRNA nuclear export kinetics reveals a wide range of values associated with innate immune response genes” \nABSTRACT: The abundance and stimulus-responsiveness of mature mRNA is known to be determined by nuclear synthesis and cytoplasmic decay. However\, nuclear processing and export events and may also contribute.  Here\, we investigated the role nuclear export rates in innate immune gene expression. We generated high spatio-temporal resolution RNA-seq data from endotoxin-stimulated macrophages and developed a mathematical modeling workflow to infer kinetic parameters with associated confidence intervals. We found that the effective chromatin-to-cytoplasm transport rate is gene-specific\, varying 100-fold; that means that for many genes\, less than 10% of synthesized transcripts make it to the cytoplasm as mature mRNAs.  Surprisingly\, effective export rates do not control temporal responsiveness directly\, but instead appear to have coevolved with mRNA decay rates; that ensures similar abundances of short- and long-lived mRNAs\, which form successive waves of innate immune response gene expression programs. \n\nhttps://qcb.ucla.edu/wp-content/uploads/sites/14/2021/01/Diane-Lefaudeux-edited.mp4
URL:https://qcb.ucla.edu/event/qcbio-research-seminar-diane-lefaudeux-hoffmann/
LOCATION:ZOOM\, CA\, United States
CATEGORIES:Research Seminars
ATTACH;FMTTYPE=image/jpeg:https://wp-misc.lifesci.ucla.edu/qcb/wp-content/uploads/sites/14/2021/01/DL_pic2.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20210205T110000
DTEND;TZID=America/Los_Angeles:20210205T120000
DTSTAMP:20260518T165706
CREATED:20210107T162654Z
LAST-MODIFIED:20210205T203344Z
UID:15717-1612522800-1612526400@qcb.ucla.edu
SUMMARY:QCBio Research Seminar: Lingyun (Ivy) Xiong (Garfinkel)
DESCRIPTION:TITLE: “Oncogenic alterations in the p53 pathway abolish oscillatory competence” \nABSTRACT: The tumor suppressor p53 displays concentration oscillations in response to DNA damage\, a behavior that has been suggested to be essential to its anti-cancer function.  Many genetic alterations in the p53 pathway have been shown to be oncogenic\, whether by experiment or by clinical associations with various cancers. These oncogenic alterations include somatic mutations\, copy number variations and inherited polymorphisms. Using a differential equation model of p53-Mdm2 dynamics\, we employ Hopf bifurcation analysis to show that all of the oncogenic perturbations have a common effect\, to abolish the oscillatory competence of p53\, thereby impairing its tumor suppressor function. In this analysis\, these diverse genetic alterations\, widely observed in human cancers\, have a unified mechanistic explanation. \nhttps://qcb.ucla.edu/wp-content/uploads/sites/14/2021/01/Ivy-Xiong-edited.mp4
URL:https://qcb.ucla.edu/event/qcbio-research-seminar-lingyun-ivy-xiong-garfinkel/
LOCATION:ZOOM\, CA\, United States
CATEGORIES:Research Seminars
ATTACH;FMTTYPE=image/png:https://wp-misc.lifesci.ucla.edu/qcb/wp-content/uploads/sites/14/2021/01/Lingyun-Ivy-Xiong.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20210205T113000
DTEND;TZID=America/Los_Angeles:20210205T120000
DTSTAMP:20260518T165706
CREATED:20210129T140921Z
LAST-MODIFIED:20210226T201021Z
UID:16320-1612524600-1612526400@qcb.ucla.edu
SUMMARY:QCBio Research Seminar: Marcus Gallagher-Jones (Rodriguez)
DESCRIPTION:TITLE: Structural interrogation of small open reading frame (sORF) encoded proteins \nABSTRACT: Advances in genomics and proteomics have unearthed sequences of a startling number of novel proteins. Despite this\, our knowledge of their three-dimensional structure and function relies on only a small fraction of the known protein universe.  Small open reading frames (sORFs) encoding proteins less than 100 amino acids in length are an extreme example of this. With tens of thousands of newly discovered sORFs per year since the late 2000s\, their gene products represent a kind of ‘dark matter’ of the proteome. Many sORF families encode sequences that do not resemble a known protein domain\, limiting our ability to correlate their sequence to a known function. Given the widespread roles previously characterized small proteins play in bacterial cells\, they hold great potential as future therapeutic targets. My current research is focussed on leveraging advances in protein structure prediction to discover sORF encoded proteins (SEP) with a compact tertiary structure and tease out the role they may be playing in cellular function. \nhttps://qcb.ucla.edu/wp-content/uploads/sites/14/2021/01/Marcus-Gallagher-Jones-edited.mp4
URL:https://qcb.ucla.edu/event/qcbio-research-seminars-marcus-gallagher-jones-sankararaman/
LOCATION:ZOOM\, CA\, United States
CATEGORIES:Research Seminars
ATTACH;FMTTYPE=image/jpeg:https://wp-misc.lifesci.ucla.edu/qcb/wp-content/uploads/sites/14/2021/01/Marcus-Gallagher-Jones.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20210205T120000
DTEND;TZID=America/Los_Angeles:20210205T130000
DTSTAMP:20260518T165706
CREATED:20210203T154838Z
LAST-MODIFIED:20210203T154841Z
UID:16436-1612526400-1612530000@qcb.ucla.edu
SUMMARY:COVID-19 Basic\, Translational and Clinical Research Seminar Series
DESCRIPTION:Swab-Seq: Massively scaling SARS-CoV-2 testing using genomic sequencing. \nThe COVID-19 Basic\, Translational and Clinical Research Task Forces has created a seminar series each Friday at noon. The purpose of these seminars is to bring together people across campus working on SARS-CoV-2 from all angles to form a community and exchange information\, both for expert virologists and those new to COVID-19 from other disciplines. Some presentations will focus on individual COVID-19 research projects and others on discussion of tools and reagents and campus resources. We hope this will also be a venue to identify collaborations for larger projects and grant opportunities. \nPlease note zoom below requires pre-registration: \nhttps://uclahs.zoom.us/meeting/register/tJIsd-mpqDkuHNFCfaOEkKnLO0lALIGPQGpW \nAfter registering\, you will receive a confirmation email containing information about joining the meeting.
URL:https://qcb.ucla.edu/event/covid-19-basic-translational-and-clinical-research-seminar-series/
LOCATION:ZOOM\, CA\, United States
CATEGORIES:Research Seminars
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20210212T110000
DTEND;TZID=America/Los_Angeles:20210212T113000
DTSTAMP:20260518T165706
CREATED:20210204T152332Z
LAST-MODIFIED:20210226T200938Z
UID:16453-1613127600-1613129400@qcb.ucla.edu
SUMMARY:QCBio Research Seminar: Nicolas Rochette (Campbell-Staton)
DESCRIPTION:TITLE: Cis-regulatory divergence between highland and lowland deer mice populations highlight the essential role of pleiotropic genes for high-altitude adaptation. \nABSTRACT: Variation in gene expression regulation contributes extensively to phenotypic diversity within and between species and plays a major role in complex trait evolution. However\, the characterization of the genetic basis of regulatory variation is complicated by the inter-dependencies between the expressions of all genes. A promising approach to circumvent this issue is to measure gene-wise allelic imbalance (also known as allele-specific expression) as it intrinsically emphasizes cis-regulatory effects. Here\, we demonstrate the power of the allelic imbalance approach and use it to investigate the cis-regulatory landscape of local adaptation to high altitude in the deer mouse (Peromyscus maniculatus). We find evidence that freely segregating regulatory alleles are ubiquitous in wild populations. Then\, we detect strong cis-regulatory differentiation between highland and lowland populations in a small set of genes\, which comprises known adaptations as well as new candidates and underlines the role of integrative genes to explain the broad range of organismal changes observed in high altitude populations.
URL:https://qcb.ucla.edu/event/qcbio-research-seminars-nicolas-rochette-campbell-staton/
LOCATION:ZOOM\, CA\, United States
CATEGORIES:Research Seminars
ATTACH;FMTTYPE=image/jpeg:https://wp-misc.lifesci.ucla.edu/qcb/wp-content/uploads/sites/14/2021/02/Nicolas-Rochette.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20210212T113000
DTEND;TZID=America/Los_Angeles:20210212T120000
DTSTAMP:20260518T165706
CREATED:20210112T233425Z
LAST-MODIFIED:20210215T163620Z
UID:15816-1613129400-1613131200@qcb.ucla.edu
SUMMARY:QCBio Research Seminar: Kexin Li (Li JJ)
DESCRIPTION:TITLE: “scPNMF: sparse gene encoding of single cells to facilitate gene selection for targeted gene profiling.” \nABSTRACT: Single-cell RNA sequencing (scRNA-seq) captures whole transcriptome information of individual cells. While scRNA-seq measures thousands of genes\, researchers are often interested in only dozens to hundreds of genes for a closer study. Then a question is how to select those informative genes from scRNA-seq data. Moreover\, single-cell targeted gene profiling technologies are gaining popularity for their low costs\, high sensitivity\, and extra (e.g.\, spatial) information; however\, they typically can only measure up to a few hundred genes. Then another challenging question is how to select genes for targeted gene profiling based on existing scRNA-seq data. Here we develop the single-cell Projective Non-negative Matrix Factorization (scPNMF) method to select informative genes from scRNA-seq data in an unsupervised way. Compared with existing gene selection methods\, scPNMF has two advantages. First\, its selected informative genes can better distinguish cell types. Second\, it enables the alignment of new targeted gene profiling data with reference data in a low-dimensional space to facilitate the prediction of cell types in the new data. Technically\, scPNMF modifies the PNMF algorithm for gene selection by changing the initialization and adding a basis selection step\, which selects informative bases to distinguish cell types. We demonstrate that scPNMF outperforms the state-of-the-art gene selection methods on diverse scRNA-seq datasets. Moreover\, we show that scPNMF can guide the design of targeted gene profiling experiments and cell-type annotation on targeted gene profiling data. \nhttps://qcb.ucla.edu/wp-content/uploads/sites/14/2021/01/Kexin-Li-edited.mp4
URL:https://qcb.ucla.edu/event/qcbio-research-seminar-kexin-li-li-jj/
LOCATION:ZOOM\, CA\, United States
CATEGORIES:Research Seminars
ATTACH;FMTTYPE=image/jpeg:https://wp-misc.lifesci.ucla.edu/qcb/wp-content/uploads/sites/14/2021/01/KexinLi.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20210219T110000
DTEND;TZID=America/Los_Angeles:20210219T113000
DTSTAMP:20260518T165706
CREATED:20210112T233728Z
LAST-MODIFIED:20210222T201152Z
UID:15821-1613732400-1613734200@qcb.ucla.edu
SUMMARY:QCBio Research Seminar: Igor Nikolskiy (Wollman)
DESCRIPTION:TITLE: “A state space model to characterize the phenotypic variation in a panel of drug treatment time course experiments.” \nABSTRACT: As new technologies enable high throughput collection of marker measurements in drug treatment time course experiments\, we are faced with a need to characterize the observed cellular behaviors over time.  I will present a model that builds on previous approaches to produce cell state trajectories that emphasize the variation between cell lines and treatments.  The resulting approach provides another means to generate hypotheses about the underlying drivers of behavior from global trends in the collected data.
URL:https://qcb.ucla.edu/event/qcbio-research-seminar-igor-nikolskiy-wollman/
LOCATION:ZOOM\, CA\, United States
CATEGORIES:Research Seminars
ATTACH;FMTTYPE=image/jpeg:https://wp-misc.lifesci.ucla.edu/qcb/wp-content/uploads/sites/14/2021/01/Igor-Nikolskiy.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20210219T110000
DTEND;TZID=America/Los_Angeles:20210219T113000
DTSTAMP:20260518T165706
CREATED:20210128T192151Z
LAST-MODIFIED:20210222T150500Z
UID:16307-1613732400-1613734200@qcb.ucla.edu
SUMMARY:QCBio Research Seminar: Maria Izabel Alves Cavassim (Lohmueller)
DESCRIPTION:TITLE: The evolution and co-evolution of PRDM9 across vertebrates \nABSTRACT: In sexually reproducing organisms\, meiotic recombination is initiated by the deliberate infliction of numerous double-strand breaks (DSBs) in the genome\, the repair of which yields crossover and non-crossover resolutions. In most mammals\, these DSBs are specified through the binding of PRDM9 and the deposition of H3K4me3 and H3K36me3 marks. Despite its evolutionary importance\, PRDM9 has been independently lost numerous times across vertebrate’s evolution. Here\, we take advantage of the multiple independent PRDM9 losses to infer the co-evolution of PRDM9 with other meiosis-related genes. \nhttps://qcb.ucla.edu/wp-content/uploads/sites/14/2021/01/Maria-Izabel-Alves-Cavassim-edited.mp4
URL:https://qcb.ucla.edu/event/qcbio-research-seminar-maria-izabel-alves-cavassim-lohmueller/
LOCATION:ZOOM\, CA\, United States
CATEGORIES:Research Seminars
ATTACH;FMTTYPE=image/png:https://wp-misc.lifesci.ucla.edu/qcb/wp-content/uploads/sites/14/2021/01/Maria-Izabel-Alves-Cavassim.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20210226T110000
DTEND;TZID=America/Los_Angeles:20210226T113000
DTSTAMP:20260518T165706
CREATED:20210106T171458Z
LAST-MODIFIED:20210226T202400Z
UID:15673-1614337200-1614339000@qcb.ucla.edu
SUMMARY:QCBio Research Seminar: Amandine Gamble (Lloyd-Smith)
DESCRIPTION:TITLE: “Linking exposure dose to infectious disease development using mechanistic models” (using SARS-CoV-2 in a mouse model as an illustration) \nABSTRACT: Disease development after exposure to a pathogen does not follow a yes/no process\, but rather a spectrum of disease manifestations influenced by host\, pathogen and environmental factors. In particular\, exposure dose can impact incubation time\, shedding intensity and disease severity. However\, classical dose-response models only consider the probability of disease development\, neglecting the diversity of disease manifestations. In contrast\, more complex within-host models are generally parameterized with invasive data\, limiting their potential applications. I will present a modelling framework of the dose-dependence of disease development probability and incubation time using non-invasive data\, illustrated by experimental data collected in rodents exposed to SARS-CoV-2\, and the potential applications of such models. \nhttps://qcb.ucla.edu/wp-content/uploads/sites/14/2021/01/Amandine-Gamble-edited.mp4\n 
URL:https://qcb.ucla.edu/event/qcbio-research-seminar-amandine-gamble-lloyd-smith/
LOCATION:ZOOM\, CA\, United States
CATEGORIES:Research Seminars
ATTACH;FMTTYPE=image/jpeg:https://wp-misc.lifesci.ucla.edu/qcb/wp-content/uploads/sites/14/2021/01/Amandine-Gamble.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20210226T113000
DTEND;TZID=America/Los_Angeles:20210226T120000
DTSTAMP:20260518T165706
CREATED:20210217T164027Z
LAST-MODIFIED:20210217T164031Z
UID:16662-1614339000-1614340800@qcb.ucla.edu
SUMMARY:QCBio Research Seminar: Will Shoemaker (Garud)
DESCRIPTION:TITLE: “Inferring positive selection in the human gut microbiome using signatures of genetic linkage.” \nABSTRACT: The human gut microbiome is composed of hundreds of simultaneously evolving species that can affect human health. However\, fundamental features of genetic diversity have yet to be leveraged to identify genes that contribute towards microbial adaptation. One such feature is the statistical association of mutations\, otherwise known as linkage disequilibria. In this seminar\, I will describe how patterns of linkage disequilibria can reflect the direction of selection in microbial populations. I will then demonstrate how linkage can provide insight into the degree of positive and negative selection as well as the targets of adaptation across human microbiomes. Finally\, I will compare patterns of linkage disequilibria across hosts to the co-occurrence of mutations within a host. In sum\, the ability to examine linkage among large cohorts for many species provides an opportunity for researchers to examine novel patterns that are indicative of certain evolutionary dynamics.
URL:https://qcb.ucla.edu/event/qcbio-research-seminar-will-shoemaker-garud/
LOCATION:ZOOM\, CA\, United States
CATEGORIES:Research Seminars
ATTACH;FMTTYPE=image/jpeg:https://wp-misc.lifesci.ucla.edu/qcb/wp-content/uploads/sites/14/2021/02/Will-Shoemaker.jpeg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20210305T110000
DTEND;TZID=America/Los_Angeles:20210305T113000
DTSTAMP:20260518T165706
CREATED:20210112T233946Z
LAST-MODIFIED:20210317T143543Z
UID:15824-1614942000-1614943800@qcb.ucla.edu
SUMMARY:QCBio Research Seminar: Katherine Sheu (Hoffmann)
DESCRIPTION:TITLE: “Quantifying response-specificity to diverse immune threats from single cell transcriptomes” \nABSTRACT: Innate immune sentinel cells such as macrophages upregulate over a thousand genes in the minutes to hours following an encounter with pathogen invaders or damage signals. Previous bulk transcriptomic studies suggest there is stimulus-specificity in the combinations of genes that are activated. However\, bulk measurements do not reveal the distribution of responses\, precluding a quantification of response-specificity. Here\, we measure time-series single cell transcriptomic profiles of macrophages responding to diverse bacterial\, viral\, and host cytokine stimuli. We employ information theoretic and machine learning approaches to quantify how faithfully macrophage gene expression profiles relay information about the ligand encountered\, and which genes are important for distinguishing ligands\, based on their expression distributions across single cells. We find that microenvironmental context alters response-specificity\, and thus quantifying response-specificity may identify marks of inflammatory disease.
URL:https://qcb.ucla.edu/event/qcbio-research-seminar-katherine-sheu-hoffmann-2/
LOCATION:ZOOM\, CA\, United States
CATEGORIES:Research Seminars
ATTACH;FMTTYPE=image/png:https://wp-misc.lifesci.ucla.edu/qcb/wp-content/uploads/sites/14/2020/04/Katherine-Sheu.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20210305T113000
DTEND;TZID=America/Los_Angeles:20210305T120000
DTSTAMP:20260518T165706
CREATED:20210106T165755Z
LAST-MODIFIED:20210226T200911Z
UID:15662-1614943800-1614945600@qcb.ucla.edu
SUMMARY:QCBio Research Seminar: Ali Pazokitoroudi (Sankararaman)
DESCRIPTION:TITLE: “Efficient variance components analysis across millions of genomes.” \nABSTRACT: While variance components analysis has emerged as a powerful tool in complex trait genetics\, existing methods for fitting variance components do not scale well to large-scale datasets of genetic variation. I will present a method for variance components analysis that is accurate and efficient: capable of estimating one hundred variance components on a million individuals genotyped at a million SNPs in a few hours. We illustrate the utility of our method in estimating and partitioning variation in a trait explained by genotyped SNPs (SNP-heritability). Analyzing 22 traits with genotypes from 300\,000 individuals across about 8 million common and low frequency SNPs\, we observe that per-allele squared effect size increases with decreasing minor allele frequency (MAF) and linkage disequilibrium (LD) consistent with the action of negative selection. Partitioning heritability across 28 functional annotations\, we observe enrichment of heritability in FANTOM5 enhancers in asthma\, eczema\, thyroid and autoimmune disorders.
URL:https://qcb.ucla.edu/event/qcbio-research-seminars-ali-pazokitoroudi-sankararaman/
LOCATION:ZOOM\, CA\, United States
CATEGORIES:Research Seminars
ATTACH;FMTTYPE=image/jpeg:https://wp-misc.lifesci.ucla.edu/qcb/wp-content/uploads/sites/14/2021/01/Ali-Pazakitoroudi.jpeg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20210312T110000
DTEND;TZID=America/Los_Angeles:20210312T113000
DTSTAMP:20260518T165706
CREATED:20210304T173959Z
LAST-MODIFIED:20210316T003949Z
UID:17294-1615546800-1615548600@qcb.ucla.edu
SUMMARY:QCBio Research Seminar: Sam Christensen (Roper)
DESCRIPTION:TITLE: “Asymptotic-Numerical Method For Cell Focusing in Microfluidic Channel.” \nABSTRACT: Inertial microfluidic devices use inertial lift forces to organize the spacing and positions of cells carried by flow.  A hybrid asymptotic-numerical method is presented that can calculate the migration velocities of cells in a channel by representing them as a combination singularities and discontinuities. Refinements to asymptotic analysis are given that improve the regularity of the PDE solution\, increasing the order of convergence for polynomial based numerical solvers. \nhttps://qcb.ucla.edu/wp-content/uploads/sites/14/2021/03/Sam-Christensen-edited.mp4
URL:https://qcb.ucla.edu/event/qcbio-research-seminar-sam-christensen-roper/
LOCATION:ZOOM\, CA\, United States
CATEGORIES:Research Seminars
ATTACH;FMTTYPE=image/jpeg:https://wp-misc.lifesci.ucla.edu/qcb/wp-content/uploads/sites/14/2021/03/Sam-Christensen.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20210312T113000
DTEND;TZID=America/Los_Angeles:20210312T120000
DTSTAMP:20260518T165706
CREATED:20210210T231400Z
LAST-MODIFIED:20210226T200841Z
UID:16525-1615548600-1615550400@qcb.ucla.edu
SUMMARY:QCBio Research Seminar: Alexander Markowitz (Boutros)
DESCRIPTION:TITLE: “A pan-cancer landscape analysis of molecular and functional genomics in tumor proliferation.” \nABSTRACT: Rapid proliferation is a central hallmark of cancer and is associated with poor prognosis in most cancer types. My overall goal is to understand the mechanisms by which specific driver mutations and mutational signatures influence rates of tumor proliferation within and between cancer types and subtypes. I will do so by integrating model-system and patient data\, providing both descriptive and mechanistic insights into the origins\, consequences and targetability of unregulated proliferation in cancer.
URL:https://qcb.ucla.edu/event/qcbio-research-seminar-alexander-markowitz-boutros/
LOCATION:ZOOM\, CA\, United States
CATEGORIES:Research Seminars
ATTACH;FMTTYPE=image/jpeg:https://wp-misc.lifesci.ucla.edu/qcb/wp-content/uploads/sites/14/2021/02/Alexander-Markowitz.jpeg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20210329T110000
DTEND;TZID=America/Los_Angeles:20210329T120000
DTSTAMP:20260518T165706
CREATED:20210318T171239Z
LAST-MODIFIED:20210318T173825Z
UID:17542-1617015600-1617019200@qcb.ucla.edu
SUMMARY:Bioinformatics/Human Genetics Seminar Series: Vivian Li\, PhD
DESCRIPTION:Assistant Professor-Biostatistics\, Department of Biostatistics and Epidemiology\, Rutgers University\n“Model-based analysis of alternative polyadenylation using 3′ end reads” \nHosted by Jessica Li
URL:https://qcb.ucla.edu/event/bioinformatics-human-genetics-seminar-series-vivian-li-phd/
LOCATION:ZOOM\, CA\, United States
CATEGORIES:Research Seminars
ATTACH;FMTTYPE=image/jpeg:https://wp-misc.lifesci.ucla.edu/qcb/wp-content/uploads/sites/14/2021/03/1-1.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20210402T110000
DTEND;TZID=America/Los_Angeles:20210402T110000
DTSTAMP:20260518T165706
CREATED:20210322T152126Z
LAST-MODIFIED:20210402T202258Z
UID:17594-1617361200-1617361200@qcb.ucla.edu
SUMMARY:QCBio Research Seminar: Arjun Bhattacharya (Pasaniuc)
DESCRIPTION:TITLE: “Distal mediator-enriched placental transcriptome-wide association studies reveal genetic mechanisms supporting the  Developmental Origins of Health and Disease.” \nABSTRACT: As the master regulator of the intrauterine environment\, the placenta is core to the Developmental Origins of Health and Disease (DOHaD) but is understudied in large consortia of tissue-specific gene and trait regulation. We performed distal mediator-enriched transcriptome-wide association studies for 40 health outcomes across 5 categories\, using gene expression models trained from multi-omic data from the Extremely Low Gestational Age Newborn Study. I will discuss some of the novel methods we leverage in this analysis and the implications our computational and experimental results suggest on placental biology and health outcomes. \nhttps://qcb.ucla.edu/wp-content/uploads/sites/14/2021/03/Arjun-Bhattacharya-edited.mp4
URL:https://qcb.ucla.edu/event/qcbio-research-seminar-arjun-bhattacharya-pasaniuc/
LOCATION:ZOOM\, CA\, United States
CATEGORIES:Research Seminars
ATTACH;FMTTYPE=image/jpeg:https://wp-misc.lifesci.ucla.edu/qcb/wp-content/uploads/sites/14/2021/03/Arjun-Bhattacharya.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20210402T113000
DTEND;TZID=America/Los_Angeles:20210402T120000
DTSTAMP:20260518T165706
CREATED:20210210T165325Z
LAST-MODIFIED:20210402T200850Z
UID:16520-1617363000-1617364800@qcb.ucla.edu
SUMMARY:QCBio Research Seminar: Xinzhou Ge (Li JJ)
DESCRIPTION:TITLE: “Clipper: p-value-free FDR control on high-throughput data from two conditions.” \nABSTRACT: High-throughput biological data analysis commonly involves identifying “interesting” features (e.g.\, genes\, genomic regions\, and proteins)\, whose values differ between two conditions\, from numerous features measured simultaneously. The most widely-used criterion to ensure the analysis reliability is the false discovery rate (FDR). Existing bioinformatics tools primarily control the FDR based on p-values. However\, obtaining valid p-values relies on either reasonable assumptions of data distribution or large numbers of replicates under both conditions\, two requirements that are often unmet in biological studies. To address this issue\, we propose Clipper\, a general statistical framework for FDR control without relying on p-values or specific data distributions. \nhttps://qcb.ucla.edu/wp-content/uploads/sites/14/2021/02/Xinzhou-Ge-edited.mp4
URL:https://qcb.ucla.edu/event/qcbio-research-seminars-zinzhou-ge-li-jj/
LOCATION:ZOOM\, CA\, United States
CATEGORIES:Research Seminars
ATTACH;FMTTYPE=image/jpeg:https://wp-misc.lifesci.ucla.edu/qcb/wp-content/uploads/sites/14/2021/02/Zinzhou-Ge.jpeg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20210405T110000
DTEND;TZID=America/Los_Angeles:20210405T120000
DTSTAMP:20260518T165706
CREATED:20210318T171819Z
LAST-MODIFIED:20210318T171819Z
UID:17548-1617620400-1617624000@qcb.ucla.edu
SUMMARY:Bioinformatics/Human Genetics Seminar Series: Nanibaa’ Garrison\, PhD
DESCRIPTION:Associate Professor\, UCLA Institute for Society and Genetics\n“TBD” \nHosted by Paivi Pajukanta
URL:https://qcb.ucla.edu/event/bioinformatics-human-genetics-seminar-series-nanibaa-garrison-phd/
LOCATION:ZOOM\, CA\, United States
CATEGORIES:Research Seminars
ATTACH;FMTTYPE=image/jpeg:https://wp-misc.lifesci.ucla.edu/qcb/wp-content/uploads/sites/14/2021/03/2.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20210409T110000
DTEND;TZID=America/Los_Angeles:20210409T113000
DTSTAMP:20260518T165706
CREATED:20210323T144802Z
LAST-MODIFIED:20210409T225858Z
UID:17601-1617966000-1617967800@qcb.ucla.edu
SUMMARY:QCBio Research Seminar: Casey Barkan (Wang)
DESCRIPTION:TITLE: “Critical slowing down signals quasi-species extinction in an evolutionary model with environmental heterogeneity.” \nABSTRACT: Environmental heterogeneity can significantly affect the evolutionary dynamics of a population. A key parameter that determines the influence of heterogeneity is the migration rate–the rate at which organisms explore their heterogeneous environment. We study a model of a population which migrates between two habitats that exert distinct selection pressure on the population. We find that the system undergoes multiple phase transitions\, each associated with the extinction of a quasispecies. The dynamics exhibit critical slowing down near each transition. Our results may be relevant to the evolution of antibiotic resistance in bacteria and evolution of gut microbiota. \nhttps://qcb.ucla.edu/wp-content/uploads/sites/14/2021/03/Casey-Barkan-edited.mp4
URL:https://qcb.ucla.edu/event/qcbio-research-seminar-casey-barkan-wang/
LOCATION:ZOOM\, CA\, United States
CATEGORIES:Research Seminars
ATTACH;FMTTYPE=image/jpeg:https://wp-misc.lifesci.ucla.edu/qcb/wp-content/uploads/sites/14/2021/03/Casey-Barkan.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20210409T113000
DTEND;TZID=America/Los_Angeles:20210409T120000
DTSTAMP:20260518T165706
CREATED:20210323T144940Z
LAST-MODIFIED:20210409T195622Z
UID:17604-1617967800-1617969600@qcb.ucla.edu
SUMMARY:QCBio Research Seminar: Aliya Lakhani (Park)
DESCRIPTION:TITLE: “Integrating metabolomics and fluxomics to study cancer metabolism in low glucose environments.” \nABSTRACT: Metabolomics and fluxomics are integral tools for quantitative metabolic analysis. By combining mass spectrometry\, isotope tracing\, and mathematical modeling\, we can quantify metabolite concentrations and fluxes in cancer cells. Using these tools\, we are investigating the coordination of bioenergetics\, biosynthesis\, and redox metabolism of cancer cells in the tumor microenvironment. We hypothesize that the tumor microenvironment plays a significant role in dictating cancer cell survival and proliferation. To shed light on how cancer cells use the tumor microenvironment\, we assessed their adaptability to high levels of lactate. While cancer cells did not have a growth advantage over healthy cells in the high-lactate environment\, we found that an intermittent supply of glucose allowed cancer cells to proliferate faster than healthy cells. By tracing stable isotopes from lactate and glutamine across metabolism\, we elucidate the role of lactate in cancer cell survival via gluconeogenesis and energy metabolism. \nhttps://qcb.ucla.edu/wp-content/uploads/sites/14/2021/03/Aliya-Lakhani-edited.mp4
URL:https://qcb.ucla.edu/event/qcbio-research-seminar-aliya-lakhani-park/
LOCATION:ZOOM\, CA\, United States
CATEGORIES:Research Seminars
ATTACH;FMTTYPE=image/jpeg:https://wp-misc.lifesci.ucla.edu/qcb/wp-content/uploads/sites/14/2021/03/Aliya-Lakhani.jpeg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20210412T110000
DTEND;TZID=America/Los_Angeles:20210412T120000
DTSTAMP:20260518T165706
CREATED:20210318T172007Z
LAST-MODIFIED:20210318T172007Z
UID:17552-1618225200-1618228800@qcb.ucla.edu
SUMMARY:Bioinformatics/Human Genetics Seminar Series: Martin Kampmann\, PhD
DESCRIPTION:Associate Professor\, Department of Biochemistry and Biophysics\, UCSF\n“TBD” \nHosted by David Eisenberg
URL:https://qcb.ucla.edu/event/bioinformatics-human-genetics-seminar-series-martin-kampmann-phd/
LOCATION:ZOOM\, CA\, United States
CATEGORIES:Research Seminars
ATTACH;FMTTYPE=image/jpeg:https://wp-misc.lifesci.ucla.edu/qcb/wp-content/uploads/sites/14/2021/03/3.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20210416T110000
DTEND;TZID=America/Los_Angeles:20210416T113000
DTSTAMP:20260518T165706
CREATED:20210323T145202Z
LAST-MODIFIED:20210409T061938Z
UID:17608-1618570800-1618572600@qcb.ucla.edu
SUMMARY:QCBio Research Seminar: Juan de la Hoz Gomez (Olde Loohuis & Freimer)
DESCRIPTION:TITLE:“Longitudinal phenotyping of Severe Mental Illness from Electronic Health Records.” \nABSTRACT:Electronic Health Records (EHRs) offer an exciting avenue for large-scale genetic studies of psychiatric disorders in globally diverse populations. As a potential source of inexpensive and longitudinal phenotypes\, they are key for the study of severe mental illness trajectories. The Clinica San Juan de Dios is the only psychiatric hospital in Caldas\, Colombia\, serving a population of 1M people. We leverage their 15+ years of EHRs in order to 1) validate diagnoses of severe mental illness\, 2) extract trans-diagnostic symptom information from free text using clinical NLP\, and 3) explore patterns of temporal phenotypic variation. In addition to providing insights into the trajectory of psychiatric diagnoses\, this dataset serves as a valuable resource for genetic investigation of mental illness in admixed populations.
URL:https://qcb.ucla.edu/event/qcbio-research-seminar-juan-de-la-hoz-gomez-olde-loohuis-freimer/
LOCATION:ZOOM\, CA\, United States
CATEGORIES:Research Seminars
ATTACH;FMTTYPE=image/jpeg:https://wp-misc.lifesci.ucla.edu/qcb/wp-content/uploads/sites/14/2021/03/Juan-de-la-Hoz-Gomez.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20210416T113000
DTEND;TZID=America/Los_Angeles:20210416T120000
DTSTAMP:20260518T165706
CREATED:20210323T145340Z
LAST-MODIFIED:20210416T225835Z
UID:17611-1618572600-1618574400@qcb.ucla.edu
SUMMARY:QCBio Research Seminar: Alec Chiu (Sankararaman)
DESCRIPTION:TITLE: “Population structure inference for biobank-scale data.” \nABSTRACT: Inferring the structure of human populations from genetic variation data is a key task in population and medical genomic studies. While a number of methods for population structure inference have been proposed\, current methods are impractical to run on biobank-scale genomic datasets containing millions of individuals and genetic variants. We introduce SCOPE\, a method that can infer population structure from biobank-scale data. We show that SCOPE is as or more accurate than existing methods while being orders of magnitude faster. SCOPE able to infer population structure in about a day on a dataset consisting of one million individuals and SNPs. Furthermore\, SCOPE is able to incorporate allele frequencies from previous studies in a supervised fashion to further aid interpretability of estimated admixture proportions.  \nhttps://qcb.ucla.edu/wp-content/uploads/sites/14/2021/03/Alec-Chiu-edited.mp4
URL:https://qcb.ucla.edu/event/qcbio-research-seminar-alec-chiu-sankararaman/
LOCATION:ZOOM\, CA\, United States
CATEGORIES:Research Seminars
ATTACH;FMTTYPE=image/jpeg:https://wp-misc.lifesci.ucla.edu/qcb/wp-content/uploads/sites/14/2021/03/Alec-Chiu-scaled.jpeg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20210419T110000
DTEND;TZID=America/Los_Angeles:20210419T120000
DTSTAMP:20260518T165706
CREATED:20210318T172226Z
LAST-MODIFIED:20210318T172226Z
UID:17556-1618830000-1618833600@qcb.ucla.edu
SUMMARY:Bioinformatics/Human Genetics Seminar Series: Smita Krishnaswamy\, PhD
DESCRIPTION:Associate Professor of Genetics and of Computer Science\, Yale School of Medicine\n“TBD” \nHosted by Jason Ernst
URL:https://qcb.ucla.edu/event/bioinformatics-human-genetics-seminar-series-smita-krishnaswamy-phd/
LOCATION:ZOOM\, CA\, United States
CATEGORIES:Research Seminars
ATTACH;FMTTYPE=image/jpeg:https://wp-misc.lifesci.ucla.edu/qcb/wp-content/uploads/sites/14/2021/03/4.jpg
END:VEVENT
END:VCALENDAR