BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Institute for Quantitative and Computational Biosciences - ECPv6.16.2//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:20200308T100000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
TZNAME:PST
DTSTART:20201101T090000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
TZNAME:PDT
DTSTART:20210314T100000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
TZNAME:PST
DTSTART:20211107T090000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
TZNAME:PDT
DTSTART:20220313T100000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
TZNAME:PST
DTSTART:20221106T090000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20210129T110000
DTEND;TZID=America/Los_Angeles:20210129T113000
DTSTAMP:20260518T105356
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:20260518T105356
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
END:VCALENDAR