BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//UCLA | Bioinformatics - ECPv6.17.1//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:UCLA | Bioinformatics
X-ORIGINAL-URL:https://bioinformatics.ucla.edu
X-WR-CALDESC:Events for UCLA | Bioinformatics
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:UTC
BEGIN:STANDARD
TZOFFSETFROM:+0000
TZOFFSETTO:+0000
TZNAME:UTC
DTSTART:20150101T000000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=UTC:20160920T080000
DTEND;TZID=UTC:20160920T190000
DTSTAMP:20160923T165405Z
CREATED:20160630T233737Z
LAST-MODIFIED:20160923T165405Z
UID:1911-1474358400-1474398000@bioinformatics.ucla.edu
SUMMARY:QCB Annual Retreat
DESCRIPTION:
URL:https://bioinformatics.ucla.edu/event/qcb-annual-retreat/
LOCATION:Skirball Cultural Center\, 2701 N Sepulveda Blvd.\, Los Angeles\, 90049\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20160901T120000
DTEND;TZID=UTC:20160901T140000
DTSTAMP:20160815T232355Z
CREATED:20160815T232313Z
LAST-MODIFIED:20160815T232355Z
UID:1929-1472731200-1472738400@bioinformatics.ucla.edu
SUMMARY:Larry Lam Dissertation Defense
DESCRIPTION:DISSERTATION DEFENSE \nLarry Lam \n\nTitle: Computational Methods for the Analysis of DNA Methylations and Gene Expression Data \n\nCommittee:  \nMatteo Pellegrini\, Committee Chair\nThomas Graeber\nJason Ernst\nDaniel Ruderman
URL:https://bioinformatics.ucla.edu/event/larry-lam-dissertation-defense/
LOCATION:Boyer Hall 130
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20160812T110000
DTEND;TZID=UTC:20160812T130000
DTSTAMP:20160812T224442Z
CREATED:20160810T235529Z
LAST-MODIFIED:20160812T224442Z
UID:1967-1470999600-1471006800@bioinformatics.ucla.edu
SUMMARY:B.I.G. Summer 2016 Poster Session
DESCRIPTION: 
URL:https://bioinformatics.ucla.edu/event/b-i-g-summer-2016-poster-session/
LOCATION:Boyer Hall 159
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20160810T160000
DTEND;TZID=UTC:20160810T170000
DTSTAMP:20160810T191028Z
CREATED:20160809T192903Z
LAST-MODIFIED:20160810T191028Z
UID:1962-1470844800-1470848400@bioinformatics.ucla.edu
SUMMARY:Kin Fai Au Seminar
DESCRIPTION:Kin Fai Au\, Ph.D. \nAssistant Professor of Internal Medicine and Biostatistics\, University of Iowa \n“Transcriptome analysis by hybrid sequencing” \n 
URL:https://bioinformatics.ucla.edu/event/kin-fai-au-seminar/
LOCATION:Boelter Hall 4760
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20160802T110000
DTEND;TZID=UTC:20160802T120000
DTSTAMP:20160801T164929Z
CREATED:20160801T164929Z
LAST-MODIFIED:20160801T164929Z
UID:1961-1470135600-1470139200@bioinformatics.ucla.edu
SUMMARY:QCBio/Big Summer Special Seminar: Richard A. Long Seminar
DESCRIPTION:Richard A. Long\, Ph.D.  \nAssociate Professor of Biological Sciences\, College of Science and Technology \nFlorida A&M University \n  \nMoving Towards an (Eco)Systems Approach of Understanding Vibrio cholerae \nThe fields of aquatic microbial ecology and data analytics developed in parallel and often intertwined. Vibrio cholerae\, a waterborne pathogen\, arguably is the most studied aquatic bacterium. Yet we lack an integrated wholistic understanding of the bacterium as it navigates between two complex and contrasting ecosystems.  Will Big Data Analytics pull all together?
URL:https://bioinformatics.ucla.edu/event/qcbiobig-summer-special-seminar-richard-a-long-seminar/
LOCATION:Boyer Hall 130
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20160727T160000
DTEND;TZID=UTC:20160727T170000
DTSTAMP:20160725T180502Z
CREATED:20160725T180502Z
LAST-MODIFIED:20160725T180502Z
UID:1947-1469635200-1469638800@bioinformatics.ucla.edu
SUMMARY:Erez Levanon Seminar
DESCRIPTION:Erez Levanon\, Ph.D. \nThe Mina & Everard Faculty of Life Sciences\, Bar-Ilan University Ramat Gan\, Israel \n“DNA and RNA Editing of Retrotransposons Accelerate Mammalian Genome Evolution” \nHost: Dr. Grace Xiao \n  \n  \n 
URL:https://bioinformatics.ucla.edu/event/erez-levanon-seminar/
LOCATION:Boyer Hall 159
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20160725T130000
DTEND;TZID=UTC:20160725T153000
DTSTAMP:20160728T182233Z
CREATED:20160728T182233Z
LAST-MODIFIED:20160728T182233Z
UID:1953-1469451600-1469460600@bioinformatics.ucla.edu
SUMMARY:GPB CSU Summer Symposium & Graduate Fair
DESCRIPTION:  \nThe Graduate Programs in Bioscience is proud to host the first CSU Summer Symposium at UCLA! At this event\, UCLA Home Areas / Departments\, Faculty and campus resource centers will be advertising their programs / services to local CSU students and UCLA Summer Program participants. Following the Grad Fair\, the CSU Symposium poster session will highlight research being conducted by Cal State Students who participate in capstone research programs. \nEvent Details\nDate: July 25\, 2016\nTime: 1:00 – 3:30 PM\nLocation: Ackerman Grand Ball Room \n 
URL:https://bioinformatics.ucla.edu/event/gpb-csu-summer-symposium-graduate-fair/
LOCATION:Ackerman Grand Ballroom
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20160720T080000
DTEND;TZID=UTC:20160812T170000
DTSTAMP:20160623T170655Z
CREATED:20160623T164937Z
LAST-MODIFIED:20160623T170655Z
UID:1862-1469001600-1471021200@bioinformatics.ucla.edu
SUMMARY:UCLA B.I.G. Summer 2016
DESCRIPTION:Overview \nThe UCLA Institute for Quantitative and Computational Biosciences (QCB)\, is committed to training undergraduates who are interested in learning about Bioinformatics and Genomics – skillets that are critical for 21st century Biomedical research and Precision Medicine. \nThe Bruins in Genomics (B.I.G.) Summer program includes next generation sequencing analysis workshops\, weekly science talks by researchers\, a weekly student journal club\, professional development seminars\, social activities\, concluding poster sessions\, and an optional GRE test prep course. \n  \nMore information can be found here: http://qcb.ucla.edu/big-summer/
URL:https://bioinformatics.ucla.edu/event/ucla-b-i-g-summer-2016/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20160718T080000
DTEND;TZID=UTC:20160812T170000
DTSTAMP:20160524T231050Z
CREATED:20160524T231050Z
LAST-MODIFIED:20160524T231050Z
UID:1839-1468828800-1471021200@bioinformatics.ucla.edu
SUMMARY:UCLA Computational Genomics Summer Institute
DESCRIPTION:Overview \nBiological sciences have been transformed over the past two decades by the development of technologies capable of performing large-scale measurements of cellular states. In particular\, DNA sequencing instruments have undergone an extraordinary increase in efficiency during the past few years that has reduced the time and cost required to sequence billions of bases by several orders of magnitude. This is revolutionizing the scale and potential applications of genomic studies\, and creating an enormous need to develop mathematical and computational infrastructures to meet emerging data analysis challenges. To name just a few examples\, applications requiring the development of novel mathematical and statistical frameworks include the reconstruction of RNA transcript populations\, identifying sequence variations (both single-nucleotide and segmental) and exploring their disease associations\, locating the sites of protein-DNA interactions\, elucidating population histories\, and reconstructing microbial communities that colonize particular hosts or environmental niches. The goal of this long program is to bring together mathematical and computational scientists\, sequencing technology developers in both industry and academia\, and the biologists who use the instruments for particular research applications. This presents a unique opportunity to foster interactions between these three communities over an extended period of time and advance the mathematical foundations of this exciting field. \nThe development of high-throughput genomic technology has transformed biomedical sciences and provides limitless potential for developing new treatments for disease. However\, analyzing the data generated by these technologies requires tremendous computational resources and significant computational expertise by the researchers. \nThe UCLA Computational Genomics Summer Institute (CGSI) will provide two programs in the summer of 2016. \nCGSI Short Course: July 18 – 22 \nThe short course provides didactic training in computational and statistical genomic methods development and is relevant to a wide range of trainees who are interested in developing or enhancing the methodology development aspect of their research program.  The course is taught by program faculty who are world leading experts in computational and statistical genomics methodology development.  The program consists of full days of lectures covering a wide variety of techniques are cutting edge methodology. \nCGSI Long Course July 18- August 12 \nThe long course provides additional training to more senior trainees including senior graduate students and post-docs through a research residence program at UCLA where they will have the opportunity to interact with world leading researchers while at UCLA.  The program consists of a mix of structured training programs as well as flexible time to interact and collaborate with other participants and program faculty. \nDeadline to apply is March 1\, 2016. Early applications are encouraged and applicants will be admitted on a rolling basis. If you are interested in participating in the program\, please complete the UCLA CGSI Application Form. The registration fee for the program will be $550 and applicants who are accepted will be asked to pay the fee at the time of registration. \nMore information can be found here: http://computationalgenomics.bioinformatics.ucla.edu
URL:https://bioinformatics.ucla.edu/event/ucla-computational-genomics-summer-institute/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20160705T133000
DTEND;TZID=UTC:20160705T153000
DTSTAMP:20160622T171016Z
CREATED:20160622T170848Z
LAST-MODIFIED:20160622T171016Z
UID:1861-1467725400-1467732600@bioinformatics.ucla.edu
SUMMARY:Diego Ortega Del Vecchyo Dissertation Defense
DESCRIPTION:DISSERTATION DEFENSE \nDiego Ortega Del Vecchyo \n  \nTitle: Demography-aware inference of the strength of natural selection \n  \nCommittee:  \nKirk Lohmueller\, Committee Co-chair\nJohn Novembre\, Committee Co-chair\nKenneth Lange\nJanet Sinsheimer\nRobert Wayne \n 
URL:https://bioinformatics.ucla.edu/event/diego-ortega-del-vecchyo-dissertation-defense/
LOCATION:Boyer Hall 159
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20160701T170000
DTEND;TZID=UTC:20160701T190000
DTSTAMP:20160630T232057Z
CREATED:20160630T232057Z
LAST-MODIFIED:20160630T232057Z
UID:1908-1467392400-1467399600@bioinformatics.ucla.edu
SUMMARY:QCB Social Hour
DESCRIPTION:
URL:https://bioinformatics.ucla.edu/event/qcb-social-hour/
LOCATION:Boyer Hall Patio
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20160601T090000
DTEND;TZID=UTC:20160601T161500
DTSTAMP:20160601T203846Z
CREATED:20160601T203846Z
LAST-MODIFIED:20160601T203846Z
UID:1846-1464771600-1464797700@bioinformatics.ucla.edu
SUMMARY:QCB Annual Symposium 2016
DESCRIPTION:2016 Annual Symposium \nExploring the Frontiers of Biomedical Big Data\n \nhosted by The Institute for Quantitative and Computational Biosciences \n 
URL:https://bioinformatics.ucla.edu/event/qcb-annual-symposium-2016/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20160524T170000
DTEND;TZID=UTC:20160524T180000
DTSTAMP:20160524T231629Z
CREATED:20160524T231629Z
LAST-MODIFIED:20160524T231629Z
UID:1842-1464109200-1464112800@bioinformatics.ucla.edu
SUMMARY:UCLA Undergraduate Bioinformatics Minor Information Session
DESCRIPTION:The UCLA Undergraduate Bioinformatics Minor program encourages all students currently enrolled as program minors as well as those who may be interested in learning more about the Bioinformatics minor as well as research opportunities in Bioinformatics to attend our quarterly information session on Tuesday\, May 24th at 5-6pm in Boelter Hall 4760. \nProgram faculty as well as current Bioinformatics undergraduate students involved in research will host this town hall style meeting to provide information about the bioinformatics minor and information on how to get involved in Bioinformatics research projects at UCLA. \nLight refreshments will be provided.
URL:https://bioinformatics.ucla.edu/event/ucla-undergraduate-bioinformatics-minor-information-session/
LOCATION:Boelter Hall 4760
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20160523T160000
DTEND;TZID=UTC:20160523T170000
DTSTAMP:20160518T162844Z
CREATED:20160518T162844Z
LAST-MODIFIED:20160518T162844Z
UID:1736-1464019200-1464022800@bioinformatics.ucla.edu
SUMMARY:Su-In Lee Seminar
DESCRIPTION:Su-In Lee\, Ph.D. \nAssistant Professor of Computer Science and Engineering\, and Genome Sciences\, University of Washington \n“Learning the human chromatin network from all ENCODE ChIP-seq data” \nAbstract: \nIntroduction: A cell’s epigenome arises from interactions among regulatory factors — transcription factors\, histone modifications\, and other DNA-associated proteins — co-localized at particular genomic regions.  Identifying the network of interactions among regulatory factors\, the chromatin network\, is of paramount importance in understanding epigenome regulation. \nMethods: We developed a novel computational approach\, ChromNet\, to infer the chromatin network from a set of ChIP-seq datasets.  ChromNet has four key features that enable its use on large collections of ChIP-seq data.  First\, rather than using pairwise co-localization of factors along the genome\, ChromNet identifies conditional dependence relationships that better discriminate direct and indirect interactions.  Second\, our novel statistical technique\, the group graphical model\, improves inference of conditional dependence on highly correlated datasets.  Such datasets are common because some transcription factors form a complex and the same transcription factor is often assayed in different laboratories or cell types.  Third\, ChromNet’s computationally efficient method allows joint network learning across across 115 cell types\, which greatly increases the scope of possible interactions. Finally\, the genomic context causing any network edge can be inferred to aid understanding. \nResults: We applied ChromNet to all available ChIP-seq data from the ENCODE Project\, consisting of 1\,451 ChIP-seq datasets\, which revealed previously known physical interactions better than alternative approaches.  ChromNet also identified previously unreported regulatory factor interactions.  We experimentally validated one of these interactions\, between the MYC and HCFC1 transcription factors. \nDiscussion: ChromNet provides a useful tool for understanding the interactions among regulatory factors and identifying novel interactions.  We have provided an interactive web-based visualization of the full ENCODE chromatin network and the ability to incorporate custom datasets at http://chromnet.cs.washington.edu. \nBio:  Professor Su-In Lee is an Assistant Professor in the Departments of Computer Science & Engineering and Genome Sciences at the University of Washington. She received her Ph.D. degree in Electrical Engineering from Stanford University in 2009. Before joining the UW in 2010\, she was a Visiting Assistant Professor in the Computational Biology Department at Carnegie Mellon University. \nHer interest is in developing advanced machine learning (ML) algorithms to analyze high-throughput molecular data 1) to discover molecular mechanisms of disease initiation and progression\, 2) to identify therapeutic targets\, and 3) to develop personalized therapy based on individual patients’ molecular profiles. She has been named an American Cancer Society Research Scholar in 2015 and received the NSF CAREER award in 2016. Her lab is currently funded by the American Cancer Society\, the National Institutes of Health\, the National Science Foundation\, the Institute of Translational Health Sciences and the Solid Tumor Translational Research. \n  \n 
URL:https://bioinformatics.ucla.edu/event/su-in-lee-seminar/
LOCATION:Boyer Hall 159
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20160516T160000
DTEND;TZID=UTC:20160516T170000
DTSTAMP:20160524T231528Z
CREATED:20160524T231528Z
LAST-MODIFIED:20160524T231528Z
UID:1123-1463414400-1463418000@bioinformatics.ucla.edu
SUMMARY:Hongkai Ji Seminar
DESCRIPTION:Hongkai Ji\, Ph.D. \nAssociate Professor\, Department of Biostatistics\, John Hopkins University \n\nTitle: Genome-wide Prediction of DNase I Hypersensitivity Using Gene Expression\n\nAbstract: We evaluate the feasibility of using a biological sample’s transcriptome to predict its genome-wide regulatory element activities measured by DNase I hypersensitivity (DH). We develop BIRD\, Big Data Regression for predicting DH\, to handle this high-dimensional problem. Applying BIRD to the Encyclopedia of DNA Element (ENCODE) data\, we found that gene expression to a large extent predicts DH\, and information useful for prediction is contained in the whole transcriptome rather than limited to a regulatory element’s neighboring genes. We show that the predicted DH predicts transcription factor binding sites (TFBSs)\, prediction models trained using ENCODE data can be applied to gene expression samples in Gene Expression Omnibus (GEO) to predict regulome\, and one can use predictions as pseudo-replicates to improve the analysis of high-throughput regulome profiling data. Besides improving our understanding of the regulome-transcriptome relationship\, this study suggests that transcriptome-based prediction can provide a useful new approach for regulome mapping.\n 
URL:https://bioinformatics.ucla.edu/event/hongkai-ji-seminar/
LOCATION:Boyer Hall 159
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20160502T160000
DTEND;TZID=UTC:20160502T170000
DTSTAMP:20160428T235937Z
CREATED:20160428T235937Z
LAST-MODIFIED:20160428T235937Z
UID:1060-1462204800-1462208400@bioinformatics.ucla.edu
SUMMARY:Liang Chen Seminar
DESCRIPTION:Liang Chen\, Ph.D. \nAssociate Professor\, Department of Biological Sciences\, University of Southern California \n“Tackling overdispersion in RNA-seq data analysis” \nThe rapid advances in high-throughput sequencing technologies provide us an opportunity to dissect transcriptomes with unprecedented resolution. However transcriptome quantification is still hindered by non-uninform read sampling. Existing methods assume a constant bias factor for each relative position of genes or simply correct the sequence-specific bias caused by random hexamer priming. However\, the overall bias is complicated and caused by multiple factors including many unknown ones\, and the bias pattern can vary significantly across different regions and different protocols. In light of these facts\, we proposed to use the generalized-Poisson (GP) model to estimate the bias in a data-adaptive way without any presumption. We further incorporated this data-adaptive bias correction in the deconvolution of isoform expression. Our methods significantly improve the quantification of isoform and gene expression as well as the derived exon inclusion rates. For single-cell RNA-seq data\, our method distinguishes bias heterogeneity from true biological heterogeneity and uncovers smaller cell-to-cell expression variability. \n  \n  \n 
URL:https://bioinformatics.ucla.edu/event/liang-chen-seminar/
LOCATION:Boyer Hall 159
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
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: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;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: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;TZID=UTC:20160404T160000
DTEND;TZID=UTC:20160404T170000
DTSTAMP:20160331T161142Z
CREATED:20160324T222728Z
LAST-MODIFIED:20160331T161142Z
UID:1053-1459785600-1459789200@bioinformatics.ucla.edu
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:20160318T130000
DTEND;TZID=UTC:20160318T150000
DTSTAMP:20160321T164321Z
CREATED:20160209T160333Z
LAST-MODIFIED:20160321T164321Z
UID:1678-1458306000-1458313200@bioinformatics.ucla.edu
SUMMARY:CAREER PANEL AND NETWORKING EVENT
DESCRIPTION:  \nFor Graduate Students and Postdoctoral Scholars in the Quantitative and Computational Biosciences \n  \nFEATURED PANELISTS: \n\n\n\n\n BARKEN\, Exagen Diagnostics  \n\n\n\n\nLUZ OROZCO\, Genentech \n\n\n\n\nJASON CHEN\, Verge Genomics \n\n\n\n\n\n\n\n\nKRISHNA CHODAVARAPU\, Gilead Sciences  \n\n\n\n\n\n\n\n\nNICK FURLOTTE\, 23andMe 
URL:https://bioinformatics.ucla.edu/event/career-panel-and-networking-event/
LOCATION:Boyer Hall 159
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20160308T050000
DTEND;TZID=UTC:20160308T180000
DTSTAMP:20160308T165924Z
CREATED:20160308T165924Z
LAST-MODIFIED:20160308T165924Z
UID:1700-1457413200-1457460000@bioinformatics.ucla.edu
SUMMARY:Bioinformatics Minor information meeting
DESCRIPTION:The UCLA Bioinformatics Minor program encourages all students currently enrolled as program minors as well as those who may be interested in learning more about the Bioinformatics minor as well as research opportunities in Bioinformatics to attend our quarterly information session on Tuesday\, March 8th at 5-6pm in Boelter Hall 4760. \nProgram faculty as well as current Bioinformatics undergraduate students involved in research will host this town hall style meeting to provide information about the bioinformatics minor and information on how to get involved in Bioinformatics research projects at UCLA. \nLight refreshments will be provided.
URL:https://bioinformatics.ucla.edu/event/bioinformatics-minor-information-meeting/
LOCATION:Boelter Hall 4760
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20160307T160000
DTEND;TZID=UTC:20160307T170000
DTSTAMP:20160304T230351Z
CREATED:20160304T230351Z
LAST-MODIFIED:20160304T230351Z
UID:1055-1457366400-1457370000@bioinformatics.ucla.edu
SUMMARY:Elissa Chesler Seminar
DESCRIPTION:Elissa Chesler\, Ph.D. \nAssociate Professor\, Department of Bioinformatics and Computational Biology\, The Jackson Laboratory \n“Refining classification and characterization of behavior with integrative genetics and genomics” \n  \n 
URL:https://bioinformatics.ucla.edu/event/elissa-chesler-seminar/
LOCATION:Boyer Hall 159
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20160229T160000
DTEND;TZID=UTC:20160229T170000
DTSTAMP:20160223T161347Z
CREATED:20160223T161347Z
LAST-MODIFIED:20160223T161347Z
UID:1051-1456761600-1456765200@bioinformatics.ucla.edu
SUMMARY:Jianzhi (George) Zhang Seminar
DESCRIPTION:Jianzhi (George) Zhang\, Ph.D. \nProfessor\, Department of Ecology and Evolutionary Biology\, University of Michigan \n“What determines the rate of protein sequence evolution and why” \n 
URL:https://bioinformatics.ucla.edu/event/jianzhi-george-zhang-seminar/
LOCATION:Boyer Hall 159
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20160222T160000
DTEND;TZID=UTC:20160222T170000
DTSTAMP:20160216T212737Z
CREATED:20160216T212737Z
LAST-MODIFIED:20160216T212737Z
UID:1059-1456156800-1456160400@bioinformatics.ucla.edu
SUMMARY:Barbara Engelhardt Seminar
DESCRIPTION:Barbara Engelhardt\, Ph.D. \nAssistant Professor\, Department of Computer Science\, Princeton University \n“Context-specific gene co-expression networks and expression QTLs” \n  \n 
URL:https://bioinformatics.ucla.edu/event/barbara-engelhardt-seminar/
LOCATION:Boyer Hall 159
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20160208T160000
DTEND;TZID=UTC:20160208T170000
DTSTAMP:20160208T161727Z
CREATED:20160208T161727Z
LAST-MODIFIED:20160208T161727Z
UID:1052-1454947200-1454950800@bioinformatics.ucla.edu
SUMMARY:Avi Ma'ayan Seminar
DESCRIPTION:Avi Ma’ayan\, Ph.D. \nProfessor\, Department of Pharmacology and Systems Therapeutics\, Mount Sinai \n“Data Integration for Systems Pharmacology” \n 
URL:https://bioinformatics.ucla.edu/event/avi-maayan-seminar/
LOCATION:Boyer Hall 159
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20160203T120000
DTEND;TZID=UTC:20160203T140000
DTSTAMP:20160127T220936Z
CREATED:20160127T220936Z
LAST-MODIFIED:20160127T220936Z
UID:1658-1454500800-1454508000@bioinformatics.ucla.edu
SUMMARY:CTSI Seminar - Atul Butte
DESCRIPTION:
URL:https://bioinformatics.ucla.edu/event/ctsi-seminar-atul-butte/
LOCATION:NRB 132 Auditorium
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20160202T080000
DTEND;TZID=UTC:20160301T170000
DTSTAMP:20160202T210444Z
CREATED:20160202T205954Z
LAST-MODIFIED:20160202T210444Z
UID:1667-1454400000-1456851600@bioinformatics.ucla.edu
SUMMARY:Bioinformatics T-Shirt Design Competition
DESCRIPTION:The Bioinformatics IDP is holding a T-shirt design contest.\nThe winning design will communicate the breadth\, creativity and excellence of Bioinformatics at UCLA. \nThe individual or team submitting the winning T-shirt design will win a $500 prize.\nThe winning design will be printed as T-shirts for the UCLA Bioinformatics community. \nAll members of the UCLA community are eligible to participate.\nThe design cannot include copyrighted images\, and should include the campus-approved logo\, either long or short (attached).\nThe design may include front and back of the T-shirt and may specify T-shirt style and color. \nEntries should be submitted as pdfs to Allison Taka (ataka@lifesci.ucla.edu).  The deadline is March 1.
URL:https://bioinformatics.ucla.edu/event/bioinformatics-t-shirt-design-competition/
END:VEVENT
END:VCALENDAR