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X-ORIGINAL-URL:https://bioinformatics.ucla.edu
X-WR-CALDESC:Events for UCLA | Bioinformatics
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DTSTART:20150101T000000
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BEGIN:VEVENT
DTSTART;TZID=UTC:20160404T160000
DTEND;TZID=UTC:20160404T170000
DTSTAMP:20160331T161142Z
CREATED:20160324T222728Z
LAST-MODIFIED:20160331T161142Z
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SUMMARY:David Goldstein Seminar
DESCRIPTION:David Goldstein\, Ph.D. \nProfessor of Genetics and Development and Director of Institute of Genomic Medicine\, Columbia University \n“Precision Genetics for Precision Medicine” \n  \n 
URL:https://bioinformatics.ucla.edu/event/david-goldstein-seminar/
LOCATION:Boyer Hall 159
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20160411T160000
DTEND;TZID=UTC:20160411T170000
DTSTAMP:20160405T183803Z
CREATED:20160405T183803Z
LAST-MODIFIED:20160405T183803Z
UID:1734-1460390400-1460394000@bioinformatics.ucla.edu
SUMMARY:Eran Halperin Seminar
DESCRIPTION:Eran Halperin\, Ph.D. \nAssociate Professor of Computer Science\, and Molecular Microbiology and Biotechnology\, Tel Aviv University \n“Finding hidden signals in whole-genome genetic and epigenetic data” \nAbstract: Whole-genome genetic and epigenetic data sets the promise of detecting statistical correlations between phenotypes and genetic variants or epigenetic markers via genome-wide association studies (GWAS) and epigenome-wide association studies (EWAS). These correlations are useful for the generation of new hypotheses regarding the mechanisms involved\, and they can be used for disease prediction and prediction of treatment outcomes. GWAS and EWAS studies\, however\, are complicated by the fact that correlations between the phenotype and confounders such as age\, sex\, batch effects\, etc.\, may result in a large number of false positives. I will describe different approaches that deal with these confounders by directly predicting them from the data. Specifically\, I will show how one can predict cell type composition and ancestry from either genotype or methylation data\, using different variations of principal components analysis. These variations utilize the specific nature of each of the data types\, resulting in a better performance than standard PCA. I will demonstrate how these approaches can be useful in specific studies of whole-genome genetic and epigenetic data.
URL:https://bioinformatics.ucla.edu/event/eran-halperin-seminar/
LOCATION:Boyer Hall 159
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20160416
DTEND;VALUE=DATE:20160422
DTSTAMP:20160328T181304Z
CREATED:20160328T181203Z
LAST-MODIFIED:20160328T181304Z
UID:1729-1460764800-1461283199@bioinformatics.ucla.edu
SUMMARY:RECOMB Conference 2016
DESCRIPTION:RECOMB 2016 is the twentieth in a series of well-established scientific conferences bridging the areas of computational\, mathematical\, statistical and biological sciences. The conference features keynote talks by preeminent scientists in life sciences\, proceeding presentations of peer-reviewed research papers in computational biology\, and poster sessions on the latest research progress. \nThe conference series aims at attracting research contributions in all areas of computational molecular biology\, including but not limited to: molecular sequence analysis; recognition of genes and regulatory elements; molecular evolution; protein structure; structural genomics; analysis of gene expression; biological networks; sequencing and genotyping technologies; drug design; probabilistic and combinatorial algorithms; systems biology; computational proteomics; structural and functional genomics; information systems for computational biology and imaging. \nThe origins of the conference are in the mathematical and computational side of the field\, and there remains a certain focus on computational advances. However\, effective applications of computational techniques to achieve biological innovation remain a central aspect of the conference. \nThe RECOMB Conference Series (http://www.recomb.org/) was founded in 1997 to provide a scientific forum for theoretical advances in computational biology and their applications in molecular biology and medicine. \n  \nSchedule At-a-Glance \nApril 16th & 17th\, 2016- UCLA Campus\nSatellite Workshops:\nRECOMB-CCB\nRECOMB-Seq\nRECOMB-Genetics \nApril 17th\, 2016- Loews\, Santa Monica\n1:30 p.m. to 6 p.m.\nMike Waterman Symposium \nApril 17th\, 2016- Loews\, Santa Monica\n2:00pm – 5:00pm\nBioinformatics Flipped Course \nApril 17th\, 2016- Loews\, Santa Monica\n6:00 p.m. to 9 p.m.\nRECOMB 2016 Welcome Reception \nApril 18th-21st\, 2016- Loews\, Santa Monica\nRECOMB 2016 Conference
URL:https://bioinformatics.ucla.edu/event/recomb-2016/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20160418T100000
DTEND;TZID=UTC:20160418T110000
DTSTAMP:20160404T165123Z
CREATED:20160404T165123Z
LAST-MODIFIED:20160404T165123Z
UID:1737-1460973600-1460977200@bioinformatics.ucla.edu
SUMMARY:Editorial Decision Making at Nature Genetics Talk
DESCRIPTION:Editorial decision making at Nature Genetics \nBrooke LaFlamme\, PhD\, Associate Editor\, Nature Genetics \nLocation: 10-11am\, 13-105 CHS\, Monday April 18\, 2016 \nAbstract: The editorial and publication process at high impact journals\, such as Nature Genetics\, is often perceived as confusing and difficult to navigate for researchers. My presentation will provide an overview of the editorial process at Nature Genetics\, including how we prioritize papers in our current focus areas and how the publication process works. I will then discuss how to best organize and present your manuscript prior to submission\, from an editor’s perspective. Finally\, I will briefly discuss some of the current and ongoing initiatives at Nature journals that are aimed at providing the highest quality author and referee services. \n  \nHost: Bogdan Pasaniuc (pasaniuc@ucla.edu)
URL:https://bioinformatics.ucla.edu/event/editorial-decision-making-at-nature-genetics-talk/
LOCATION:CHS 13-105
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20160425T110000
DTEND;TZID=UTC:20160425T120000
DTSTAMP:20160420T235528Z
CREATED:20160420T235528Z
LAST-MODIFIED:20160420T235528Z
UID:1783-1461582000-1461585600@bioinformatics.ucla.edu
SUMMARY:Shao-Shan Carol Huang\, Special Seminar
DESCRIPTION:Shao-Shan Carol Huang\, Ph.D. \nGenomic Analysis Laboratory & Plant Biology Laboratory\nThe Salk Institute for Biological Studies\n“Efficient mapping of genome-wide regulatory elements for biological insights” \nWe developed a high-throughput sequencing assay for rapid transcription factor binding site (TFBS) discovery\, DNA affinity purification sequencing (DAP-seq)\, that uses in vitro prepared transcription factors (TFs) to capture native genomic DNA. We applied DAPseq to 1\,812 Arabidopsis thaliana TFs to resolve motifs for 529 factors and genome-wide enrichment maps for 349 factors. Cumulatively\, the ~2.7 million experimentally determined TFBSs captured the Arabidopsis cistrome and predicted thousands of TF target genes enriched for known and novel functions. Base-resolution epicistrome maps were established by comparison of TF-binding to genomic DNA with native cytosinemethylation patterns and genomic DNA that had been synthetically demethylated. This revealed methylcytosine inhibited binding of ~72% of factors and promoted binding of 4.3% of factors. Lastly\, we showed DAP-seq binding sites provided a way to annotate genomic and epigenomic variations in natural populations and interpret results from genome-wide association studies. Overall\, DAP-seq enables rapid development of base-resolution cistrome and epicistrome atlases for a wide-array of applications for eukaryotic genomes.
URL:https://bioinformatics.ucla.edu/event/shao-shan-carol-huang-special-seminar/
LOCATION:158 Hershey Hall
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20160425T160000
DTEND;TZID=UTC:20160425T170000
DTSTAMP:20160419T161528Z
CREATED:20160414T211206Z
LAST-MODIFIED:20160419T161528Z
UID:1061-1461600000-1461603600@bioinformatics.ucla.edu
SUMMARY:Sunduz Keles Seminar
DESCRIPTION:Sunduz Keles\, Ph.D. \nProfessor\, Department of Biostatistics & Medical Informatics\, University of Wisconsin \n“Integrative Models of Genomic and Epigenomic Data“ \nConsortium projects such as ENCODE and NIH Roadmap Epigenomics generated a wealth of genomic and epigenomic data. We will present two general modeling frameworks for efficiently utilizing these data in genome-wide inference problems. Specifically\, we will present integrative models to (i) identify protein-DNA and long-range interactions involving repetitive genomic DNA; (ii) integrate functional annotation information into genome-wide association studies. \n  \n 
URL:https://bioinformatics.ucla.edu/event/sunduz-keles-seminar/
LOCATION:Boyer Hall 159
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