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DTSTART;TZID=UTC:20170727T080000
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SUMMARY:2017 RECOMB-Genetics and RECOMB-CCB Satellite Workshops
DESCRIPTION:2017 RECOMB-Genetics and RECOMB-CCB Satellite Workshops \nUCLA Campus\, Los Angeles\, California\nJuly 27 to 29 \nCALL FOR PAPERS \n5th RECOMB Satellite Workshop on Computational Methods in Genetics\nRECOMB-Genetics\nUCLA Campus\, Los Angeles\, California\nJuly 27-28\, 2017 \nSUMMARY\nOver the last decade\, large-scale\, cost-effective availability of genotype data has led to novel analytical opportunities and computational challenges in statistical genetics. Population genetics allows more refined understanding of the demographic history of our species. Association analysis provides insights into the functional and molecular underpinnings of diseases and traits. Clinical applications suggest genetics is emerging as a trailblazer in personalized medicine. Complex bioinformatics questions arise\, ranging from inferring more nuanced statistical models of genetic information to algorithms that overcome the complexity challenges of analyzing millions of SNPs across millions of individuals\, to systems level challenges of handling such Big Data repositories of genotypes and phenotypes. \nSCOPE\nThis meeting will focus on current research at the intersection of genetics\, computer science\, statistics\, and related fields in gathering\, analyzing\, and applying SNP and haplotype data to problems in medicine and basic research. We plan to build on the success of previous RECOMB Satellite Meetings on Computational Methods in Genetics in bringing together leading participants from widely divergent backgrounds to share their expertise and results. \nTOPICS\nOriginal research papers (including significant work-in-progress) or state-of-the-art surveys are solicited in all aspects of SNP analysis and genetics\, including\, but not limited to: \n\nAssociation analysis pipelines\, imputation\, phasing\, and meta-analysis\nRare variants analyses and burden tests\nRisk/phenotype prediction models and heritability analysis\nAnalysis of molecular and ‘omics phenotypes’ (e.g.\, gene expression\, other epigenetic markers)\nComplex associations\, including mixed models\, epistasis\, and normalization\nStructured phenotypes: multiple/serial/intermediate phenotypes and pleiotropy\nInference of population structure and demographic history\nModels for mutation\, recombination\, selection\, and conservation\nRelatedness and identity-by-descent\nStructural variation\n\nPROGRAM COMMITTEE CHAIR\nBarbara Engelhart\, Princeton University \nKEYNOTE CHAIR\nBogdan Pasaniuc\, University of California\, Los Angeles \nSTEERING COMMITTEE\nItsik Pe’er\, Columbia University\nEleazar Eskin\, University of California\, Los Angeles \nCONFIRMED KEYNOTE SPEAKERS\nNancy Cox\, Vanderbilt University\nJonathan Pritchard\, Stanford University \n6th RECOMB Satellite Workshop on Computational Cancer Biology\nRECOMB-CCB\nUCLA Campus\, Los Angeles\, California\nJuly 28-29\, 2017 \nSUMMARY\nCancer research is undergoing a revolution driven by the application of high-throughput techniques such as genome sequencing\, single-cell analysis\, miRNA profiling\, and mass spectrometry. Today’s high-throughput techniques are capable of performing in-depth characterization of tumor samples and producing large collections of data that have implications for both basic biology and clinical translation. Cancer is a disease of tremendous complexity; thus\, the analysis and interpretation of this data with a systems biology approach demands sophisticated\, specialized computational methods. This workshop brings together leading researchers in the mathematical\, computational and biological sciences to discuss advances and open questions in cancer research. \nSCOPE\nThis meeting will focus on applying statistical and algorithmic approaches to improve our understanding of cancer and on the development of useful\, effective and efficient new methods in this area. The emphasis of contributed work will be on developing and applying statistical\, mathematical and algorithmic approaches to improve our understanding of cancer. The workshop will partially overlap with the RECOMB-Genetics Satellite Workshop\, which takes place on UCLA campus immediately after the UCLA Computational Genomics Summer Institute. \nTOPICS \n\nMethods for analysis of high-throughput sequencing or microarray data\, with application to cancer\nInference of somatic mutations\, copy number aberrations\, structural rearrangements\, and other genomic aberrations from high-throughput sequencing or microarray data sets\nClonality analyses and tumor evolution\nEpigenetic variation (e.g.\, methylation profiling\, methyl-seq\, ChIP-seq analysis) applied to cancer\nTranscriptome analysis and assembly\, alterative splicing\, and fusion gene analyses from RNAseq data\nApplications of single-molecular and nanopore sequencing technologies to cancer\nPathway analysis and network reconstruction with a focus on cancer biology\nCancer proteomics\nData integration from multiple molecular assays\n\nPROGRAM COMMITTEE CHAIRS\nChristina Curtis\, Stanford University\nTeresa Przytycka\, NIH \nSTEERING COMMITTEE\nJoe Gray\, Oregon Health Sciences University\nMichael Hallett\, McGill University\nBen Raphael\, Brown University\nSohrab Shah\, BC Cancer Agency\nZohar Yakhini\, Technion and Agilent Technologies \nCONFIRMED KEYNOTE SPEAKERS\nTrey Ideker\, University of California\, San Diego \nMANUSCRIPT PREPARATION\nA manuscript should start with a succinct statement of the problem\, the results achieved\, their significance\, and a comparison with previous work. This material should be understandable to non-specialists. A technical exposition directed to the specialist should follow. \nManuscripts should be no more than 10 single-spaced US letter or A4 pages with at most a 6.5×9″ text area in at least 11-point font. Title and authors\, corresponding author’s email address\, 100- to 250-word abstract\, references\, figures\, and tables all included. An optional short appendix may contain details or additional data to be consulted at the discretion of the program committee. \nManuscripts for RECOMB-CCB must be submitted electronically in PDF format via the EasyChair system using the following link: https://easychair.org/conferences/?conf=recombcbb2017. \nManuscripts for RECOMB-Genetics must be submitted electronically in PDF format via the EasyChair system using the following link: https://easychair.org/conferences/?conf=recombgenomics2017. (Link for RECOMB-Genetics will become active within the next few days.) \nBioinformatics JOURNAL PARTNERS WITH RECOMB-CCB SATELLITE WORKSHOP\nRECOMB-CCB continues its successful partnership with Bioinformatics. Select papers accepted for the workshops will be considered for a special track publication in the journal Bioinformatics. Bioinformatics is a biweekly peer-reviewed scientific journal covering research and software in computational biology. The journal was established as Computer Applications in the Biosciences (CABIOS) in 1985. In 1998\, the journal obtained its current name. Bioinformatics is published by Oxford University Press\, and as of 2014\, the editors-in-chief are Alfonso Valencia and Janet Kelso. \nREGISTRATION\nVisit the following secure website in order to register for 2017 RECOMB-Genetics and RECOMB-CCB:\nhttps://commerce.cashnet.com/cgsiandrecombregistration. \nRegistration fee options:\nSatellite Genetics and CCB Regular: $200.00\nSatellite Genetics and CCB Student: $150.00 \nKEY DATES for RECOMB-Genetics and RECOMB-CCB\nMarch 14\, 2017: Submission Opens\nApril 14\, 2017:   Paper Submission deadline\nMay 7\, 2017: Paper Accept/Reject decisions\nMay 29\, 2017:  Early registration deadline \nVisit our website for more information:\nhttp://computationalgenomics.bioinformatics.ucla.edu/2017-recomb-satellite-meetings/
URL:https://bioinformatics.ucla.edu/event/2017-recomb-genetics-and-recomb-ccb-satellite-workshops/
LOCATION:UCLA
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