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X-ORIGINAL-URL:https://qcb.ucla.edu
X-WR-CALDESC:Events for Institute for Quantitative and Computational Biosciences
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DTSTART;TZID=America/Los_Angeles:20210305T110000
DTEND;TZID=America/Los_Angeles:20210305T113000
DTSTAMP:20260518T050445
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
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20210305T113000
DTEND;TZID=America/Los_Angeles:20210305T120000
DTSTAMP:20260518T050445
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
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20210312T110000
DTEND;TZID=America/Los_Angeles:20210312T113000
DTSTAMP:20260518T050445
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. \n\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:20260518T050445
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
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20210329T110000
DTEND;TZID=America/Los_Angeles:20210329T120000
DTSTAMP:20260518T050445
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
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